Keyword Clustering Research Articles

CiteSpace-based Logistics Distribution Center Site Selection Research

: China's logistics industry is developing at a high speed, but the distribution efficiency can't match with it, to reduce the waste of resources and costs on the way of distribution, it is crucial to study and improve the distribution center siting issue. Taking the 494 core journals on the study of logistics distribution center siting in Knowledge Network as the basic data, CiteSpace is used to visualize and analyze the related literature in this research field. Through the keyword clustering analysis, this field can be divided into four directions: the main body of research, the influence factors of site selection, the purpose of site selection, and site selection methods, and the comprehensive analysis shows that the early focus of China's research is on the site selection methods, such as genetic algorithm and center of gravity method, and the future research direction is the joint optimization of the site selection-path and the two-layer planning.

Digital Training for Nurses and Midwives to Improve Treatment for Women with Postpartum Depression and Protect Neonates: A Dynamic Bibliometric Review Analysis.

The high prevalence of postpartum depression makes it necessary for midwives and nurses to implement prenatal interventions for expectant mothers. The current study aims to investigate and highlight the importance of the digital training of nurses in order to help women mitigate the symptoms of postpartum depression and protect infants. To approach this, we conducted a bibliometric analysis to address the study's main objective. Articles were retrieved from the Scopus database for the timeframe 2000-2023. Data analysis was conducted using the statistical programming language R (version R-4.4.) and the bibliometric software VOSviewer (version 1.6.20) and Biblioshiny (version 4.1.4), focused on year, journal, and country. For this investigation, we selected a total of 31 MeSH keywords and sub-headings that exhibited significant frequencies. We consistently used six significant clusters of MeSH keywords. We obtained a total of 585 articles from the Scopus database that were major contributors to the field of PPD, as evidenced by their extensive publication of research articles and their influential role in the domain. The studies included a thorough analysis of depression research, the use of scales for diagnosing and screening PPD, psychological studies related to PPD, and the exploration of causes, mechanisms, outcomes, and genetic factors. Our study's results demonstrate a steady and significant increase in the availability of information on PPD. Importantly, the novelty of the current study lies in highlighting the need for a transition in the ways in which nurses and midwives are trained to mitigate postpartum disease by integrating emerging technologies into their practices. The knowledge provided here has the potential to serve as a foundation for future advancements in obstetric psychology, both presently and in the future.

Designing a Competency-Focused Course on Applied AI Based on Advanced System Research on Business Requirements

The consortium of “The Future is in Applied Artificial Intelligence” Project designed the first competency-based applied artificial intelligence curriculum at the higher-education institution level. The development was based on advanced system research on existing artificial intelligence-related resources and surveying target groups of teachers, information technology students, and employers, which should enhance the performance of implementing artificial intelligence education. A review of applied artificial intelligence was prepared in the form of keyword clustering. The initial data were collected with the help of surveying by identifying job offers, existing artificial intelligence training courses, scientific projects, and real cases. A synthetic analysis of the textual information from the studies was conducted using the word clouds technique. A tensor-based approach was used for the presentation of the competency-based course. The specific numerical requirements for the course in the form of priorities followed from the solution to decision-making problems using the analytic hierarchy process technique. Based on a comprehensive study of surveys, educational experience, scientific projects, and business requirements, and a meta-analysis of the recent references, we specified the criteria for a training course in the form of a tensor-based representation of competencies in relation to content and educational modules.

A Bibliometric Analysis of the Outdoor Thermal Environment Based on CiteSpace

The outdoor thermal environment (OTE) is closely related to sustainable urban development and human living, and related research has attracted widespread attention. The research hotspots and research frontiers were obtained using CiteSpace to analyze 4473 relevant studies published in English from the Web of Science (WOS) core database from 1998 to 2023. The results show that (1) Hong Kong Polytechnic University, National University of Singapore, Chinese Academy of Sciences, Tsinghua University, and Harbin Institute of Technology are important in OTE research. China has the largest number of publications in the field of OTE, but the United States has the greatest centrality and significant influence. (2) The focus of OTE keyword clustering research is divided into four main categories: thermal environment perception, the thermal environment index, thermal environment quality, and thermal environment optimization. (3) The frontiers of OTE research have changed from focusing on environmental quality, thermal perception, numerical simulation, urban space, and thermal adaptation to thermal mitigation, energy conservation, energy consumption, and optimization strategies. Visualization research in the field of OTE helps to provide references for the direction of future research on improving climate change, human thermal comfort, urban planning, and pre-planning.

Bibliometric analysis of single cell sequencing in Parkinson’s disease

Objective To provide a comprehensive understanding of the current research on Parkinson’s disease (PD) with the application of single cell sequencing (SCS) through bibliometric analysis. Methods With the keywords of “Parkinson’s disease” and “single cell sequencing”, all relevant literature were screened from the Web of Science. Research trends in related field were analyzed by using VOSviewer, Pajek, and PS software, to explore research hotspots, development trends, and future directions for PD based on SCS. Results The annual publication of SCS and PD increased. The United States had the most contribution to this field, followed by China. Among the top 10 institutions with the largest number of publications, Karolinska Institute, Institutions Lund University and University of Luxembourg have the strongest presence. In terms of influential authors, Parmar Malin stood out as the most prolific author while Marsden, Cd and Obeso Ja are the most influential investigators. During this period, the majority of publications and citations were found in Journal of Frontiers in Immunology and Scientific Reports. Keyword clustering analysis highlighted the increasing focus on the such pivotal pathological factor as alpah-synuclein. Conclusion Over the past 30 years, the growing number of high-quality publications has significantly contributed to the advancement of PD based on SCS, indicating a promising prospect for investigations on PD with the usage of SCS.

Research Atlas Analysis on the Application of Huoxue Lishui Method (Promoting Blood Circulation and Diuresis) in Ophthalmology Based on VOSviewer’s and CiteSpace’s Methods

Abstract Objective: The objective of this study was to summarize the research context, hotspots, and the development trend of Huoxue lishui method in ophthalmology in the past decade by reviewing the relevant publications. Materials and Methods: Relevant publications on the application of Huoxue lishui method in ophthalmology from January 1, 2011, to December 31, 2021, in databases such as CNKI, VIP, and Wanfang were retrieved. The analysis of coauthorship, keyword co-occurrence, keyword clustering, keyword emergence, and keyword timeline map of the publications was done with bibliometrics tools CiteSpace and VOSviewer. Results: A total of 100 publications were included in the analysis. The year 2020 saw the publication of most papers concerning the application of Huoxue lishui method in ophthalmology. High-frequency words are macular edema, Huoxue lishui, diabetic macular edema, Huoxue lishui method, Huoxue lishui formula, and promoting Qi and nourishing Yin. Three research hotspots were identified through keyword clustering analysis. Keyword emergence analysis and keyword timeline map indicated that a combined treatment of Huoxue lishui method and promoting Qi and nourishing Yin and diabetic ophthalmology is predicted to be research frontiers. Conclusions: Through the use of knowledge maps, this article reveals the research status in this field in the past decade and highlights the major directions, research hotspots, and development trends, providing references for further research in this field.

Physiology education and research in the European Higher Education System — a case study from Portugal

The “Future of Physiology” has become a recurring theme worldwide in discussions amongst Physiology organizations. The Bologna Process fostered a proper higher education environment within Europe, comparable with the USA and UK. This paper presents a current view of Physiology teaching within Portugal, an EU member state and part of the European High Education Area (EHEA). Data was sourced from the governmental agency DGES (from September to November 2022) to identify institutions and curricula featuring disciplines (CU/D) aligned with human Physiology. The teaching modalities, hours, and credits for Human Physiology disciplines were obtained from the institutions’ websites, yielding a database with 365 courses/degrees and 764 distinct Physiology CU/D. In the second stage, a bibliometric analysis of the lecturers’ scientific production from 2017-2022 was conducted using the VOSviewer v 1.6.19 to construct and visualize the key word co-occurrence networks and clusters. A thematic analysis of words in each cluster was then performed to identify common themes. Important divergences appeared, particularly between universities and technical colleges. In technical colleges, Physiology is prevalent in the first year, while in universities, Physiology-related CU/Ds are sequentially present from the first year until late in the course, indicating a progression in advanced knowledge and its application. These differences might be related to the different structural organization of these institutions and likely reflect the differences between facilities, available teaching-learning instruments, and staff preparation. The bibliometric analysis revealed considerable asymmetries in the scientific profile of the teaching staff. revealed Significant differences between university and technical colleges’ scientific production are clear: staff with relevant production were affliated with reference university centers or research units. A pronounced concentration of research interests in two primary domains, classified in the thematic analysis as Medical Physiology and Lifestyle Physiology, was found, with researchers' preferences focusing on biomedical research and innovation, cardiovascular function, sport performance, and well-being. These findings might be common within the EHEA, and do not raise any immediate concerns regarding Physiology as a discipline at present. On the contrary, they suggest that Physiology is clearly recognized as important in health education. Physiology teaching and learning must not lose sight of its primary role as an an integrated science of life required to shape the approach and rationale applied to problems requiring our understanding of health and disease, Physiology teaching and learning continue to be critical in human health education and research. This work is financed by national funds through FCT - Foundation for Science and Technology, I.P., under the UIDB/04567/2020 and UIDP/ 04567/2020 projects. João Gregório is funded by Foundation for Science and Technology (FCT) Scientific Employment Stimulus contract with the reference number CEEC/CBIOS/EPH/2018. This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Visual Analysis of Sanyinjiao(SP6) Studies Based on CiteSpace

Objective To conduct a visual analysis of literature around the Sanyinjiao (SP6), and to explore the research process, hot spots and future development trend of the Sanyinjiao (SP6) in the past 20 years. Methods CNKI was used as the data source, and the basic and clinical research literature collected from January 2000 to December 2022 were visually analyzed by using citespace software, and the relevant maps of keywords, authors and institutions were drawn. Results In the basic study, 287 articles were included, and 9 keywords were clustered, with the highest acupuncture centrality (0.46), the author with the highest number of publications was Zhu Jiang (33 articles), and the institution with the largest number of publications was the School of Acupuncture and Tuina of Beijing University of Chinese Medicine (42 articles). The clinical study included 1794 articles, and 9 keyword clusters were obtained, Yinlingquan had the highest centrality (0.46), the authors with the most publications were Zhu Jiang, Wang Pei, Hu Shangqing, Ma Yuxia (7 articles), and the institution with the largest number of publications was Guangzhou University of Chinese Medicine (59 articles). Conclusion The dynamics and trends of the number of literature changes in basic and clinical research are revealed, and the research content and research hotspots of Sanyinjiao(SP6) in basic and clinical applications are analyzed.

A systematic literature review of crisis management in online public opinion: evolutionary path and implications for China

PurposeThis study aims to explore the dissemination and evolutionary path of online public opinion from a crisis management perspective. By clarifying the influencing factors and dynamic mechanisms of online public opinion dissemination, this study provides insights into attenuating the negative impact of online public opinion and creating a favorable ecological space for online public opinion.Design/methodology/approachThis research employs bibliometric analysis and CiteSpace software to analyze 302 Chinese articles published from 2006 to 2023 in the China National Knowledge Infrastructure (CNKI) database and 276 English articles published from 1994 to 2023 in the Web of Science core set database. Through literature keyword clustering, co-citation analysis and burst terms analysis, this paper summarizes the core scientific research institutions, scholars, hot topics and evolutionary paths of online public opinion crisis management research from both Chinese and international academic communities.FindingsThe results show that the study of online public opinion crisis management in China and internationally is centered on the life cycle theory, which integrates knowledge from information, computer and system sciences. Although there are differences in political interaction and stage evolution, the overall evolutionary path is similar, and it develops dynamically in the “benign conflict” between the expansion of the research perspective and the gradual refinement of research granularity.Originality/valueThis study summarizes the research results of online public opinion crisis management from China and the international academic community and identifies current research hotspots and theoretical evolution paths. Future research can focus on deepening the basic theories of public opinion crisis management under the influence of frontier technologies, exploring the subjectivity and emotionality of web users using fine algorithms and promoting the international development of network public opinion crisis management theory through transnational comparison and international cooperation.

Applications of artificial intelligence in the AEC industry: a review and future outlook

ABSTRACT In the context of “Industry 4.0,” the construction industry is undergoing a continuous process of digital transformation. In recent years, with the rapid development of artificial intelligence (AI) technology, AI has been successfully applied across various domains within the construction sector. This paper conducts a comprehensive review based on scientific bibliometric analysis and systematic evaluation to provide an overview of AI applications and developments in the architecture, engineering, and construction (AEC) industry, as well as to discuss future research trends. Firstly, a bibliometric analysis was carried out on 3,410 journal articles published between 2003 and 2022. This analysis examined characteristics such as annual publication trends, key researchers and their affiliations, countries of origin, collaborative relationships, prominent journals, and keyword clustering. Subsequently, through systematic review, three critical themes in the field were identified and analyzed: performance prediction, intelligent optimization, and engineering safety and risk. To gain a deeper understanding of cutting-edge AI technologies and their potential applications in the AEC sector, potential future research directions were discussed, including digital twins, blockchain, augmented reality, and virtual reality, all aimed at driving the intelligent and digital transformation of the AEC industry.

Research Hotspot and Trend of Digital Clothing Based on Bibliometric Map

Objective: To explore the research status of digital technology in the field of clothing, analyze research hotspots and frontier trends, and provide ideas and references for subsequent research topics. Methods: CNKI database was used as the data source of Chinese literature, Web of Science core database as the data source of English literature, and CiteSpace 6.2.R5 visual tool software was used. This paper visually analyzes the research status of digital technology in the field of clothing from the aspects of cooperation between authors and institutions, keyword co-occurrence, keyword clustering and emergence analysis, and draws correlation maps for comparative study. Results: A total of 118 Chinese literatures and 1418 English literatures were included. The analysis shows that the total number of papers published by Chinese and foreign institutions is on the rise, but there are great differences in research hotspots. The data sources of Chinese literature are mainly digital technology, intelligent clothing, intelligent manufacturing, etc. The data sources of English literature are mainly reflected in the continuous research of social media, clothing industry and purchase intention. Conclusion: Researchers and institutions should grasp the hot spots and trends in the field of digital clothing, strengthen exchanges and cooperation between China and foreign countries, provide theoretical support and practical guidance for academia and industry, promote the effective integration of digital technology and clothing industry, and inject new vitality and innovation.

Clinical Application of MRI in Coronavirus Disease 2019: A Bibliometric Analysis.

Currently, coronavirus disease 2019 (COVID-19) continues to remain in the pandemic stage, leading to severe challenges in the global public healthcare system. Magnetic resonance imaging (MRI) methods have played an important role in the diagnosis of COVID-19 and the structural evaluation of the affected organs. Reviewing and summarizing the application of MRI has significant clinical implications for COVID-19. The study aimed to analyze literature related to the application of MRI in COVID-19 using bibliometric tools, to explore the research status, hotspots, and developmental trends in this field, and to provide a reference for the application of MRI in the clinical diagnosis and evaluation of COVID-19. We used the Web of Science Core Collection database to search and collect relevant literature on the use of MRI in COVID-19. The authors, institutes, countries, journals, and keyword modules of the bibliometric analysis software CiteSpace and VOSviewer were used to analyze and plot the network map. A total of 1506 relevant articles were shortlisted through the search; the earliest study was published in 2019, showing an overall upward trend every year. The research was mainly presented as published articles. Clinical neurology was found to be the primary discipline. The United States had the highest publication volume and influence in this field. Countries around the world cooperated more closely. The Cureus Journal of Medical Science was the main periodical to publish articles. Institutes, such as Harvard Medical School, Mayo Clinic, and Massachusetts General Hospital, have published a large number of papers. Some of the high-frequency keywords were "COVID-19", "SARS-CoV-2", "magnetic resonance", "myocarditis", and "cardiac magnetic resonance imaging". The keyword clustering study showed that the current research mainly focuses on five "hot" directions. There is a need to strengthen cross-teamwork and multidisciplinary collaboration in the future to completely explore the positive role of MRI in COVID-19 and to discover breakthroughs for the challenges in the clinical diagnosis and treatment of COVID-19.

Understanding Research Dynamics in Job Stress

The objective of this analysis is to conduct a bibliometric analysis to map the research on work stress. This will be done by employing quantitative methods such as network, overlay, and density cluster models to analyze the research on work stress over a span of 11 years. Data are extracted from the scientific literature in the Science Direct database using the keyword "job stress," in which a total of 180 relevant articles were identified. These articles were analyzed using algorithms in Vosviewer to identify common topics in stress research. The analysis revealed that work-related stress studies frequently discuss 39 key topics, as determined by researchers. Through bibliometric analysis utilizing a network visualization model, it has been determined that there are six recurring clusters of keywords. The initial cluster, highlighted in red, comprises a total of 11 keywords. The terms "job stress" and "job satisfaction" have been the primary focus of research in the field of job stress analysis from 2013 to 2023. In response to the analysis of overlay visualization, the keyword "job stress" has been frequently examined from the past to the present. According to the density visualization analysis, the keywords "job stress" and "job satisfaction" exhibit the most intense and prominent colors, suggesting that numerous researchers have conducted studies on job stress.

Visual analysis on the study status and trends of acupuncture and moxibustion for Alzheimer's disease.

The research history, hot spots and frontier trends of acupuncture and moxibustion for Alzheimer's disease (AD) were explored using knowledge graph technology. The articles on acupuncture and moxibustion for AD were searched from 6 databases, i.e. CNKI, VIP, Wanfang, SinoMed, Pubmed and Web of Science, from January 1st, 1993 to January 1st, 2023. Using CiteSpace6.2.R2 Advance and VOSviewer V1.6.19 softwares, the knowledge map was graphed and the visual analysis was performed. A total of 1 228 Chinese and 309 English articles were included. The high-frequency keywords were generally divided into the keywords of clinical diseases (AD, dementia), those of therapeutic methods (electroacupuncture, acupuncture-moxibustion and acupuncture) and those of mechanism study (β-amyloid, mice). Thirteen keyword clusters were formed among the articles of Chinese version, e.g. acupuncture-moxibustion, dementia, acupuncture and electroacupuncture; and 8 clusters were obtained among English articles, e.g. electroacupuncture, drug therapy and hippocampus. The high-frequency keywords of acupoints included Baihui (GV 20), Dazhui (GV 14), Yintang (GV 24+), Zusanli (ST 36), Fenglong (ST 40), etc. Six clusters of "acupuncture techniques → acupoints" were obtained for the treatment of AD with acupuncture and moxibustion. The therapeutic methods and modes of AD with acupuncture and moxibustion are constantly progressed, the development of clinical research tends to the evaluation of novel therapeutic mode and clinical effect, and the mechanism of acupuncture and moxibustion for the effect on AD are more deeply explored. Among the various therapeutic methods, acupuncture-moxibustion, acupuncture and electroacupuncture have been early predominant; while, many novel methods are gradually displayed later, such as music electroacupuncture and hydro-acupuncture. In recent 30 years, among Chinese and English articles for the studies of AD treated with acupuncture and moxibustion, the theme of them focuses on the two aspects, the observation of clinical effect and the mechanism research. It is found that the clinical therapeutic methods have been gradually improved and the mechanism exploration been deepened.

The Role of Botulinum Toxin Type-A in Spasticity: Research Trends from a Bibliometric Analysis.

Botulinum toxin type-A (BoNT-A) has emerged as a key therapeutic agent for the management of spasticity. This paper presents a comprehensive bibliometric and visual analysis of research concerning BoNT-A treatment of spasticity to elucidate current trends and future directions in this research area. A search was conducted in the Web of Science database for articles focused on the use of BoNT-A in spasticity published between 2000 and 2022. We extracted various metrics, including counts of publications and contributions from different countries, institutions, authors, and journals. Analytical methods in CiteSpace were employed for the examination of co-citations, collaborations, and the co-occurrence of keywords. Our search yielded 1489 publications. Analysis revealed a consistent annual increase in research output. The United States, United Kingdom, and Italy were the leading contributors. The top institution in this research was Assistance Publique Hopitaux, Paris. The journal containing the highest number of relevant publications was Toxins. Key frequently occurring keywords were 'stroke', 'cerebral palsy', 'adult spasticity', and 'upper extremity'. This study identified 12 clusters of keywords and 15 clusters of co-cited references, indicating the main focus areas and emerging themes in this field. This study comprehensively analyzed and summarized trends in BoNT-A research in the field of spasticity over the past 22 years.

Research progress and hotspot evolution analysis of wildfire disasters in national park communities

In recent years, wildfire disasters have had an essential impact on national park communities' social, economic, and ecological structure, which has gradually become the forefront of academic attention. Therefore, to review the research history of wildfire disasters in national park communities, this paper used CiteSpace and Bibliometric R analysis tools to conduct a detailed analysis of 328 kinds of literature in the Web of Science database from 2002 to 2023. The data showed that the number of papers published was rising, and the subjects involved included ecology, botany and zoology. However, there is still a need for increased collaboration among the collaborating groups of authors, institutions, and countries. From the perspective of the research content, it mainly focused on the mathematical model and established a comprehensive database to simulate and predict wildfire disasters. Finally, we predict a future research direction using keyword clustering and burst detection -the management framework for wildfire disaster risk prevention. The key points include improving the governance mode of the country, community and enterprise and improving the simulation and prediction ability of mathematical models. This study provided a reference for promoting wildfire hazard risk identification and management in national park communities.

An academic achievements visualization research since the 21st century: research on salvage surgery for head and neck cancer.

Head and neck cancer is the 6th most common malignancy worldwide, and its incidence is still on the rise. The salvage surgery has been considered as an important treatment strategy for persistent or recurrent head and neck cancer. Therefore, we conducted a bibliometric analysis of salvage surgery for head and neck cancer since the 21st century. The literature about salvage surgery of head and neck cancer in Web of Science was searched. CiteSpace and VOSviewer were used to analyze main countries, institutions, authors, journals, subject hotspots, trends, frontiers, etc. A total of 987 papers have been published since the 21st century. These publications were written by 705 authors from 425 institutions in 54 countries. The United States published 311 papers in this field and ranked first. Head & Neck was the most widely published journal. The main keyword clustering included terms such as #0 stereotactic radiotherapy (2012); #1 randomized multicenter (2007); #2 salvage surgery (2004); #3 functional outcomes (2014); #4 transoral robotic surgery (2013); #5 neck high-resolution computed tomography (2010); #6 complications (2008); #7 image guidance (2019). The current research frontiers that have been sustained are "recurrent", "risk factors", and "reirradiation". The current situation of the salvage surgery for head and neck cancer in clinical treatments and basic scientific research were summarized, providing new perspectives for the development of salvage surgery for head and neck cancer in the future.

Comparing semantic representation methods for keyword analysis in bibliometric research

Semantic representation methods play a crucial role in text mining tasks. Although numerous approaches have been proposed and compared in text mining research, the comparison of semantic representation methods specifically for publication keywords in bibliometric studies has received limited attention. This lack of practical evidence makes it challenging for researchers to select suitable methods to obtain keyword vectors for downstream bibliometric tasks, potentially hindering the achievement of optimal results. To address this gap, this study conducts an experimental comparison of various typical semantic representation methods for keywords, aiming to provide quantitative evidence for bibliometric studies. The experiment focuses on keyword clustering as the fundamental task and evaluates 22 variations of five typical methods across four scientific domains. The methods compared are co-word matrix, co-word network, word embedding, network embedding, and “semantic + structure” integration. The comparison is based on fitting the clustering results of these methods with the “evaluation standard” specific to each domain. The empirical findings demonstrate that the co-word matrix exhibits subpar performance, whereas the co-word network and word embedding techniques display satisfactory performance. Among the five network embedding algorithms, LINE and Node2Vec outperform DeepWalk, Struc2Vec, and SDNE. Remarkably, both the “pre-training and fine-tuning” model and the “semantic + structure” model yield unsatisfactory results in terms of performance. Nevertheless, even with variations in the performance of these methods, no singular approach stands out as universally superior. When selecting methods in practical applications, comprehensive consideration of factors such as corpus size and semantic cohesion of domain keywords is crucial. This study advances our understanding of semantic representation methods for keyword analysis and contributes to the advancement of bibliometric analysis by providing valuable recommendations for researchers in selecting appropriate methods.

Patient engagement in designing and publishing research in prostate cancer: a scoping review.

Patients with cancer have the unique ability of being able to offer valuable insights into how cancer therapeutics may impact the overall patient experience and improve clinical outcomes. Patient engagement could therefore contribute to tailoring treatment strategies and research design according to patient needs. This study evaluated patient engagement in prostate cancer research by identifying patient input in the prostate cancer literature. We performed a keyword cluster analysis of articles from multiple databases and congresses in which patients provided input on disease management or were involved in study design, manuscript authorship or presentation of results (patient voice). In total, 112 studies were included. Patients were involved in the design of 11studies and were credited as authors in four studies. This review suggests a lack of meaningful patient involvement in prostate cancer research and publications.

The development and evolution of the research topic on the mental health of college students: A bibliometric review based on CiteSpace and VOSviewer

BackgroundWith the advances in society and in response to changing times, college students have had to face multiple challenges. These challenges frequently affect the mental health of college students, leading to significant consequences for their social lives, personal well-being, and academic achievements, thereby attracting extensive societal attention. Therefore, examining the current status of research topics related to the mental health of college students can assist academia in dissecting the influencing factors and seeking solutions at their source or through early intervention. This can contribute to a better understanding of and effectively address this challenge. MethodCiteSpace and VOSviewer were used to conduct a bibliometric analysis of 1609 journal articles indexed in the Web of Science (WoS) database over the past two decades (2000–2022), which helped identify the current state of research and hot topics in the field based on development trends. Furthermore, this study analyzes and discusses the core authors, high-productivity countries and organizations, key journals, and keyword clustering in this field. This study clarifies the current research landscape, analyzes evolving trends based on developmental trajectories, and identifies forefront research hotspots. This study provides scholars with reference research directions and ideas for conducting subsequent studies. ResultsSince the beginning of the 21st century, research on college students’ mental health has increased, especially in the past three years, and due to the impact of the COVID-19 pandemic and online distance learning, the number of publications has increased rapidly. With the increase in attention and publication volume, the countries and organizations contributing papers as well as core journals have all started to take shape. Cluster and evolution analyses found that several stable research topics have been formed in this research field, and many new and diverse topics are continuously emerging with time. Conclusionand prospect: The findings prove that the field of college students’ mental health has begun to take shape, gradually shifting from conceptual research to the implementation of specific interventions. However, whether specific interventions are effective and how effective they are require further investigation.