Mapping Knowledge Domain Research Articles

Mapping knowledge domain of acupuncture for Parkinson's disease: a bibliometric and visual analysis.

This study points to probing the inclination and mapping knowledge domain of acupuncture for Parkinson's disease through bibliometrics. A search was conducted on 1 February 2024 using the Web of Science to identify papers published on acupuncture for Parkinson's disease. The analysis included scientific research, countries, organizations, authors/cited authors, keywords, journals, and cited references. Bibliometric data were analyzed using VOSviewer software, CiteSpace, GraphPad Prism, and Scimago Graphica. The studies on acupuncture for Parkinson's disease were visualized as a network map according to the publication year. The cumulative publication trend on acupuncture for Parkinson's disease is increasing year by year. China is the leading contributor in this field. International collaboration is predominantly concentrated in Europe, while institutional collaboration is chiefly limited to Chinese universities specializing in traditional Chinese medicine. Park HJ is the most prolific author, with "Movement Disorders" being the journal with the most publications. "Brain Research" is identified as a key journal, reflecting a focus on neuroscience. Kim SN is the most cited author, while Eisenberg DM is a prominent author in this field. Research topics such as mouse models, systematic reviews, and non-motor symptoms are frequently explored, with messenger RNA of substantia nigra emerging as a notable keyword in this field. Choi YG's 2009 paper, published in the Neuroscience Letters journal, is a critical reference in this field. Key papers include Eisenberg DM's 1998 study on randomized trials of acupuncture for non-motor symptoms of PD, as well as research focusing on the neuroinflammatory regulatory mechanisms of acupuncture for PD. The bibliometric analysis offers an exhaustive generality of the advancement and worldwide trends in acupuncture treatments for Parkinson's disease, shedding light on potential avenues for prospective research.

Research fronts and researchers of World Journal of Psychiatry in 2023: A visualization and analysis of mapping knowledge domains.

In the rapidly evolving landscape of psychiatric research, 2023 marked another year of significant progress globally, with the World Journal of Psychiatry (WJP) experiencing notable expansion and influence. To conduct a comprehensive visualization and analysis of the articles published in the WJP throughout 2023. By delving into these publications, the aim is to determine the valuable insights that can illuminate pathways for future research endeavors in the field of psychiatry. A selection process led to the inclusion of 107 papers from the WJP published in 2023, forming the dataset for the analysis. Employing advanced visualization techniques, this study mapped the knowledge domains represented in these papers. The findings revealed a prevalent focus on key topics such as depression, mental health, anxiety, schizophrenia, and the impact of coronavirus disease 2019. Additionally, through keyword clustering, it became evident that these papers were predominantly focused on exploring mental health disorders, depression, anxiety, schizophrenia, and related factors. Noteworthy contributions hailed authors in regions such as China, the United Kingdom, United States, and Turkey. Particularly, the paper garnered the highest number of citations, while the American Psychiatric Association was the most cited reference. It is recommended that the WJP continue in its efforts to enhance the quality of papers published in the field of psychiatry. Additionally, there is a pressing need to delve into the potential applications of digital interventions and artificial intelligence within the discipline.

Visualization and Analysis of Mapping Knowledge Domain of Fluid Flow Related to Microfluidic Chip.

Microfluidic chips are important tools to study the microscopic flow of fluid. To better understand the research clues and development trends related to microfluidic chips, a bibliometric analysis of microfluidic chips was conducted based on 1115 paper records retrieved from the Web of Science Core Collection database. CiteSpace and VOSviewer software were used to analyze the distribution of annual paper quantity, country/region distribution, subject distribution, institution distribution, major source journals distribution, highly cited papers, coauthor cooperation relationship, research knowledge domain, research focuses, and research frontiers, and a knowledge domain map was drawn. The results show that the number of papers published on microfluidic chips increased from 2010 to 2023, among which China, the United States, Iran, Canada, and Japan were the most active countries in this field. The United States was the most influential country. Nanoscience, energy, and chemical industry and multidisciplinary materials science were the main fields of microfluidic chip research. Lab on a Chip, Microfluidics and Nanofluidics, and Journal of Petroleum Science and Engineering were the main sources of papers published. The fabrication of chips, as well as their applications in porous media flow and multiphase flow, is the main knowledge domain of microfluidic chips. Micromodeling, fluid displacement, wettability, and multiphase flow are the research focuses in this field currently. The research frontiers in this field are enhanced oil recovery, interfacial tension, and stability.

Mapping Knowledge Domains of Digital Labor Research: Current Status, Hotspot and Frontier

With the rapid development of digital technology, the mode of production has been transformed into digitalization, virtualization and technologization. The labor has been changed from the real world to the virtual digital world, and digital labor has become an important part of the labor form in modern society. According to bibliometrics and Mapping Knowledge Domains, this study aims to reveal the research status, hot spots and future development trends in the field of digital labor. Based on this, this study takes the relevant core literature from 1990-2023 includes Web of Science Core Collection and Chinese CNKI as the database, and uses CiteSpace visualization software to conduct comparative analysis. The results of this study show that: the number of publications on digital labor in China is lagging behind that of the international community; the research on digital labor in China started late, and the influence of the literature is weaker than that of the international community; the growth rate of relevant literature in Chinese is faster, and the distribution of disciplines is concentrated, while the literature in English is increasing year by year and is relatively stable, and the distribution of disciplines is wide; there is a partial overlap between Chinese and international digital labor research hotspots, with digital labor being studied under the perspectives of computer science, communication studies, education, and so on; Chinese research still focuses on general theoretical discussions, while international research has been widely conducted in the fields of social media, deep learning, digital labor education, artificial intelligence, computer science and information systems. This study not only provides a theoretical perspective for understanding the interaction between digital technologies and labor, but also offers new perspectives for future research and labor education to address the challenges of digital transformation.

Visualization and Analysis of Mapping Knowledge Domains for Coal Functional Groups

ABSTRACT In this paper, a systematic review of the research on functional groups in coal is presented. In recent years, the research on functional groups in coal has been extended from the macroscopic level to the microscopic layer, and a large number of studies have shown that functional groups have significant effects on various properties of coal, such as gas adsorption and spontaneous combustion. To understand the current status and future trends of research on functional groups in coal, this study analyzed 3956 papers on this topic published in the Web of Science (WOS) core database from 2000 to 2022. The spatial and temporal distribution characteristics of publications, authors, countries, institutions, and major journals were visualized using VOSviewer and CiteSpace. Keyword co-occurrence and burst analysis are used to reveal the research status and hotspots in this field. The results show that the development of research on functional groups in coal goes through three stages: the fluctuating development period, the steady development period, and the results explosion period; China, USA, Australia, Japan, and India are the most active countries in the field of coal functional groups research, and China has a greater advantage in the number of publications and influence. A core group of institutions, mainly research universities, has been formed in this field, and Fuel, Energy and Fuels and Fuel Processing Technology are the main source journals for published results on coal functional groups. At present, the framework of basic theories and research methods is complete, and the study of functional groups for gas adsorption, the analysis of the evolution of functional groups in the process of coal thermodynamic behavior, and the characteristics of functional group categories and distribution in coal are the main knowledge framework basis for the study of functional groups in coal. The research on coal functional groups has been extended to the molecular level, and in the future, quantum chemistry, molecular simulation, and fine characterization research of functional groups will become the frontier of research in the field of coal functional groups.

Visualization and analysis of mapping knowledge domains for optic neuritis: a bibliometric research from 2013 to 2022

PurposeTo explore the global research trends, hotspots and frontiers of optic neuritis (ON) over the past decade through qualitative and quantitative analysis of bibliometrics.MethodsPublications on ON from 2013 to 2022 were retrieved from Web of Science Core Collection (WoSCC). VOSviewer and CiteSpace were mainly used to facilitate bibliometric analysis and visualization.ResultsA total of 3027 papers were retrieved from peer-reviewed publications and the annual research output increased over time. Neurosciences neurology was the most published area. The USA was the most productive and influential country, and in the focus of international cooperation. University College London was the most productive organization and Charite Medical University of Berlin had the largest number of cooperating partners. Paul F contributed the largest number of publications and Wingerchuk DM ranked first among the co-cited authors. Multiple Sclerosis and Related Disorders was the most prolific journal publishing ON research. The most co-cited references mainly focused on the diagnostic criteria for neuromyelitis optica spectrum disorder (NMOSD) and multiple sclerosis (MS). The keywords formed the following four clusters: the pathophysiology of MS-ON; the autoantibody markers and diagnostic criteria of NMOSD-ON and myelin oligodendrocyte glycoprotein associated disorder-ON (MOGAD-ON); the epidemiology and clinical characteristics of ON; and the treatment of ON.ConclusionThis bibliometrics analysis showed a systematic view of the evolutionary process, research hotspots, and future directions of ON research. It can provide insights for ON research and valuable information for neuro-ophthalmologic specialists to evaluate research policies and promote international cooperation.

The evolution and development of ecotranslatology studies based on the analysis of CiteSpace mapping knowledge domains

The present study endeavors to unveil the progression of research subjects within the realm of China’s ecotranslatology studies through the examination of journal papers in the databases of China National Knowledge Infrastructure (CNKI) and Web of Science (WOS) from 2001 to 2022, utilizing CiteSpace software for mapping and analyzing cooccurrences among authors, institutions, and keywords. The findings indicate that within ecotranslatology studies, a prominent theory-founding research group represented by Hu Gengshen has been established, yet no comparable clusters have been identified among scholars engaged in debate or applied studies. Additionally, a lack of effective cooperation and diversity among research entities as well as inadequate responses to questions and concerns have been observed. Furthermore, research focuses have undergone a shift, progressing from theory founding studies (2001–2008) to confirmation and verification studies (2009–2014) and finally to revision and applied studies (since 2015). Additionally, research topics have transitioned from grand, abstract theoretical foundations to subtle, specific theory revisions and applied translation studies, yet a dearth of quantitative research, comparative studies, or field studies have been conducted. In conclusion, it is suggested that future ecotranslatology studies should be more responsive to doubts and questions, cultivate diverse research entities, and place greater emphasis on field investigation within qualitative research.

A comparative study of international and Chinese digitization from the perspective of mapping knowledge domains

As a powerful tool to promote sustainable development, digitization profoundly impacts economic and social development. Systematically reviewing and performing econometric analyses of the literature in the digitization field can provide reference for the next stage of research. Based on the theory of bibliometric citation analysis and the knowledge domain mapping method, this study takes Web of Science United States (WOS) and Chinese Social Science Citation Index (CSSCI) as data sources and uses CiteSpace analysis tools to carry out data mining and visual comparative analysis on Chinese and international research hotspots, knowledge structure, and scientific research co-operation in the digitization field. The results show that (1) Chinese research hotspots and frontiers focus on digitization practice, while international research hotspots and frontiers focus on digitization theory, (2) that there is an ageing fault in the classic Chinese digitization literature, and the classic international digitization literature constantly changes with research hotspots, (3) and that the United States, Germany, and the United Kingdom are at the centre of the international digitization scientific research cooperation network. There is close cooperation among international institutions and authors. There are few contacts between Chinese institutions. Chinese authors have less cooperation with authors from other countries in the world.

基于 Citespace 的英语语音习得研究知识图谱可视化分析

采用可视化知识图谱探究我国英语语音习得领域研究热点及发展趋势 , 论文选取CSSCI 来源期刊自 1998 年以来收录的、研究主题为英语语音习得的共 670 篇核心文献为数据来源，检索范围为 1998 年 1 月 1 日 -2022 年 2 月 28 日。通过CiteSpace 5.8.R3 （64-bit） 和 Excel 软件绘制出英语语音习得研究热点知识图谱。研究发现 , 我国英语语音习得研究聚焦于语音意识、外语教学、中介语与同化、双元音、二语习得等主题 , 未来英语语音习得 发展需重点关注英语语音训练不足、实践经验匮乏的现状，同时将更加重视运用跨学科视 角关注英语语音习得过程中心理问题与思想政治教学的融合。 Visual mapping knowledge domain was used to explore the research hotspots and trend in English phonological acquisition in China. A total of 670 core articles on English phonological acquisition collected in CSSCI journals since 1998 were selected as data sources from January 1, 1998 to February 28, 2022. Using CiteSpace 5.8.R3 (64-bit) and Excel software, the mapping knowledge domain of hot topics in English phonological acquisition is drawn. It is found that the research on English phonological acquisition in China focuses on such topics as phonological awareness, foreign language teaching, interlanguage and assimilation, diphthong, and second language acquisition. In the future, the development of English phonological acquisition should focus on the current situation of insufficient English phonological training and lack of practical experience. At the same time, more attention will be paid to the integration of psychological problems and ideological and political teaching in the process of English phonological acquisition from an interdisciplinary perspective.

A systematic exploration of mapping knowledge domains for free radical research related to coal

In order to better grasp the development and trends of free radical research related to coal. Based on 820 publications collected from the core collection database of Web of Science (WoS), this paper systematically analyzed the free radicals research related to coal through the method of bibliometrics, and used VOSviewer and CiteSpace to plot knowledge domain maps. The results indicate that this research topic has gone through four stages of budding, slow development, accelerated development, and rapid development, the current number of papers is increasing exponentially. The better development and utilization of coal resources is the driving force for the development of this research field, and the exploration of coal structure and reactivity is a key first step. Coal spontaneous combustion and prevention, co conversion and utilization of coal-biomass, coal pyrolysis, environmental hazard and coal geochemistry are the five main research branches in this field, which have expanded from the macro level to the micro level. The first three research branches among them are the most popular and will continue to receive more attention in the future. In addition, we further revealed the emergence and evolution of various research branches and identified their research frontiers.

Bibliometric Analysis of Ambiguity Tolerance: Unearthing Its Role in Sustainable Language Education

Against the backdrop of the COVID-19 post-pandemic era, ambiguity tolerance has been the subject of extensive research and scholarship. While ambiguity tolerance has long been a hot topic across multiple disciplines, scant attention has been given to its role in language education via bibliometric analysis. Two authors adopt an integrative study on ambiguity tolerance in sustainable language education to fill this void. Through a general review and visualization analysis, this study seeks to explore the various influential factors that are associated with ambiguity tolerance in language education. Author co-citation analysis (ACA) and the mapping knowledge domain (MKD) are the underlying theoretical frameworks for bibliographic visualization. VOSviewer and CitNetExplorer are two analytical software utilized to visualize bibliographic data. It is concluded that multilingualism, motivation, self-efficacy, and engagement are positively correlated with ambiguity tolerance and collectively contribute to improving language learning outcomes. Future research could further discuss ambiguity tolerance in the application of emerging technologies in the new decade.

Textile waste water treatment: analysis of mapping knowledge domains.

Textile waste water contains dyes and chemicals that produce harmful vapors and exhaust gases, which is hazardous to the environment and public health. Therefore, it must be carefully treated before discharged. To understand the research evolution in the research area of textile waste water treatment, based on bibliometrics, an in-depth analysis of the publications and hotspots in this area was presented in this paper. For the analysis, totally 6774 papers related to the research area that are published between the year 1964 and 2023 were collected from the Web of Science Core Collection. Using CiteSpace and VOSviewer as bibliometric analysis tools, the collaboration of countries, regions, and organizations was investigated. Besides, an analysis for citation and co-citation of journals, authors, references, and co-occurrence of keywords was performed. The evolution of research hotspots in the three major research directions related to degradation, oxidation, and adsorption is also analyzed in this paper. The analysis results show that researches related to oxidation and adsorption are active in recent years, while nanocomposite adsorbents and graphene oxide are the current research hotspots.

Mapping Knowledge Domain to Analyze the Building Information Modeling on Building Energy Saving Based on Visualized Analysis Method

Building information modeling (BIM), as a novel knowledge field of modern engineering management, is bringing different degrees of changes to the construction industry from engineering practice to management concept. In order to analyze the research status of BIM in the field of energy-saving transformation, find its research hotspots, and reveal its future development trend to guide the practice and application of building information model better, the mapping knowledge domain is constructed via the literature visualization analysis method based on the theory of cocitation analysis and the pathfinder algorithm This is to analyze the hot spots and reveal the frontier of building information modeling on building energy saving. This article lists journal articles and review articles included in the web of science database between 2012 and 2022, using the literature visualization analysis software Citespace to establish the knowledge graph of the collected literature, the scholars’ collaboration analysis, the research institutions’ collaboration analysis, the national collaboration analysis, the keyword co-occurrence analysis, the keyword cluster analysis, the time zone analysis, the keywords timeline analysis, and the literature cocitation analysis have been carried out and discussed. According to the analysis results, the research hotspots and future development trends are interpreted and discussed.

Mapping Knowledge Domain Analysis in Deep Learning Research of Global Education

With the rapid development of the global digital knowledge economy, educational activities are facing more challenges. Sustainable development education aims to cultivate students’ thinking ability to better integrate with the contemporary world view, so classroom practice should involve innovative teaching and learning. The goal of sustainable development education is to cultivate talents with high-level thinking and sustainable development abilities. The concept of deep learning emphasizes mobilizing students’ internal motivation, focusing on problem-solving ability, improving students’ critical thinking level, and developing students’ lifelong learning ability. The concept of deep learning has evolved with the times. The introduction of the concept of deep learning in teaching can enhance students’ understanding of the nature of knowledge, cultivate students’ high-level thinking, and enable students to achieve better learning results. Integrating the concept of deep learning into teaching has extremely important significance and value for sustainable development education. It has become a hot topic in the world to comprehensively analyze the research status of deep learning and explore how deep learning can help education achieve sustainable development. In this study, CiteSpace (6.1.R2) visualization analysis software was used to visualize and quantitatively analyze the literature on deep learning in the Social Science Citation Index (SSCI). The visualized analysis is conducted on the annual publication amount, authors, institutions, countries, keywords, and high-frequency cited words of deep learning, to obtain the basic information, development status, hot spots, and evolution trends of deep learning research. The results show that the annual publication volume of deep learning is on the rise; deep learning research has entered a rapid growth stage since 2007; the United States has published the most papers and is the center of the global deep learning research collaboration network; the countries involved in the study were often interconnected, but the institutions and authors were relatively dispersed; research in the field of deep learning mainly focuses on concept exploration, influencing factors, implementation strategies and effectiveness of deep learning; learning method, learning strategy, curriculum design, interactive learning environment are the high-frequency keywords of deep learning research. It can be seen that deep learning research has the characteristics of transnationality, multidisciplinary nature and multi-perspective. In addition, this paper systematically analyzes the latest progress in global deep learning research and objectively predicts that using intelligent technology to design appropriate teaching and learning scenarios and evaluation methods may become the future development trend of deep learning. The research results of this paper will help readers to have a comprehensive understanding of deep learning research, provide deeper and more targeted resources for integrating deep learning concepts into teaching, and promote better sustainable development of education.

Global research productivity in the field of discectomy on lumbar disc herniation: A systematic bibliometric analysis.

To evaluate the global research productivity in the field of discectomy for lumbar disc herniation (LDH) through bibliometric analysis and mapping knowledge domains. A systematic literature search was performed on the Web of Science (WoS), including the Science Citation Index Expanded (SCIE) database and PubMed. The number of publications, countries of publications, journals of publications, total citation frequency, impact factors of journals, and Institutional sources were analyzed by Microsoft Excel 2019, the Online Analysis Platform of Bibliometrics, and VOSviewer. Hotspots were also analyzed and visualized based on VOSviewer. A total of 2,066 papers were identified. The United States ranked first in the number of total citations (7,970). China ranked first in the number of publications (556, 26.9%), which has surpassed the United States in terms of the number of publications published annually since 2016. Wooridul Spine Hospital published the most papers (43). For journals, Spine has published the largest number of papers (289) in this field with the most citation frequencies (6,607). Hotspots could be divided into three clusters: surgery, lumbar disc herniation, and diagnoses. The most recent topic that appeared was symptomatic re-herniation. The United States is the most significant contributor to the development of discectomy for LDH. The current research focus of discectomy on LDH was the comparison between surgical approaches and evaluation of current minimally invasive discectomy. At present, minimally invasive techniques, such as endoscopic discectomy, cannot completely replace non-endoscopic discectomy (open discectomy and microdiscectomy) through bibliometric analysis and mapping knowledge domains.

Mapping Knowledge Domains in Second Language Writing Research: A Citation Network Analysis

This study conducted citation network analysis to illuminate knowledge domains in second language (L2) writing research, as reflected in literature citation patterns. The data comprised 2,316 research articles during the period 1990-2021. CitNetExplorer software was employed to calculate citation interconnectivity and visualize the citation network. Cluster analysis of the citation network identified 14 research topics and 25 subtopics. The results indicated that the most frequently researched topics included feedback, linguistic features as a predictor of L2 writing proficiency, collaboration, individual differences in writing behavior, and voice construction and metadiscourse. The least frequently researched topics reflected research interests that are emerging or underrepresented in L2 writing research. Topics such as multimodal composing and machine translation demonstrated growing research interest in multimodality and new digital literacies. The results also raised the question of whether L2 writing research lacked focus on young learners, real-life writing tasks, and L2 writing concerns in specific cultural contexts. Limitations and suggestions for further research are discussed.

Explorations and Analysis on Innovative Education's Hot Spots and Frontier Issues

After exploring innovative education research's current situation and frontier issues, the work utilized bibliometrics and scientific knowledge mapping methods to reveal research hotspots and development trends and study the literature published in the China Social Science Citation Index database from 2000 to 2020. The authors, research institutions, and keywords were analyzed by bibliometrics to draw the mapping knowledge domains. Results showed that there were only a few core authors in the innovative education field, with less papers published. Furthermore, a research institution group formed, including Nanjing Normal University, Zhejiang University, Huazhong University of science and technology, South China Normal University, and Beijing Normal University as the centers and other normal schools as the main bodies. In the past twenty years, innovation education research's hot spots in China mainly focused on innovation education ideas, innovation education mechanisms, innovation personnel training, teaching reforms, educates and other aspects. However, the frontier issue in the innovation education research in China refers to college and university students nowadays.

Mapping knowledge domains for mine heat hazard: a bibliometric analysis of research trends and future needs.

As the shallow mineral resources are nearly depleted, the mining of deep resources has become an urgent problem to be studied. The increase in mine depth can lead to the increase of mine heat hazard, which is a critical concern for mining safety/occupational health and safety. However, there are limited review articles available regarding the prevention of mine heat hazard. To fill in this gap, a bibliometric analysis and knowledge mapping of the field of mine heat hazard prevention are presented in this paper. A total of 314 papers from the Web of Science (WOS) core collection database that published between January 1998 and July 2022 were analyzed using VOSviewer and CiteSpace. China, South Africa, Poland, USA, and Australia are the top five countries in this field. The important journals are Applied Thermal Engineering, Applied Energy, Energies, and International Journal of Mining Science and Technology. In addition, the research focal points and two research fronts were identified and discussed. The knowledge base of mine heat hazard research focuses on mine cooling technology, energy efficiency optimization of cooling systems, thermodynamic theory, and occupational health. There are two research fronts. One is to use the numerical simulation method to study various problems such as simulate the performance of refrigeration systems and thermal comfort in mines. The second is to study the occupational health impact of climate change on miners. Therefore, this paper provides readers and academics with an overview of the intellectual structure and knowledge body that have been developed on the subject of mine heat hazard.

Bibliometric analysis for research trends and hotspots in heat and mass transfer and its management of proton exchange membrane fuel cells

Heat and mass transfer and its management is an important part of proton exchange membrane fuel cells (PEMFCs), which has a decisive impact on the performance and durability of PEMFCs. In order to comprehend the research progress and hotspots in heat and mass transfer and its management of PEMFC, 3977 literatures related to this field (up to 26th July 2022) were obtained from the Web of Science Core Collection database. Based on the mapping knowledge domain (MKD) and the VOSviewer visualization software, the number of publications, citation frequency, keyword co-occurrence, and clustering were counted and analyzed. The research progress, hotspots, and trends in the field of heat and mass transfer and its management of PEMFC were then summarized. The results show that since 2000, the annual quantity of publications in this field has experienced a period of increasing, decreasing, and then increasing, while in recent years, it is in a period of rapid growth. This field has received extensive attention in China, the United States and Canada, with many researchers, among which the quality of publications from Canada is relatively high. Related studies have been published in energy and electrochemistry journals such as the International Journal of Hydrogen Energy and the Journal of the Electrochemical Society. The Journal of Power Sources is the authoritative journal in this field with the largest total number of publications and total citation frequency. According to the keyword co-occurrence network map, there are four clusters in this field, and each cluster has a different research focus. Among them, cluster 4 has only one keyword, humidification. This field can be roughly divided into three research stages, namely, the exploration of gas–liquid two-phase flow characteristics in PEMFC, the development of PEMFC heat and mass transfer and its management, and the water and heat management and performance optimization of PEMFC. In order to achieve the development goals of high-power density, high reliability and long-life of PEMFC, the research of the third stage should be further deepened in future work. This paper will provide reference for scholars engaged in the field of PEMFC heat and mass transfer and its management.

Retracted: Visualization and Analysis of Mapping Knowledge Domain of Heterogeneous Traffic Flow.

[This retracts the article DOI: 10.1155/2022/7754961.].