A systematic review of metro and low-carbon city: Bibliometric analysis, metro decarbonization and research prospects

Bibliometric analysis has recently become a popular and rigorous technique used for exploring and analyzing the literature in business and management. Prior studies principally focused on ‘how to do bibliometric analysis’, presenting an overview of the bibliometric methodology along with various techniques and step-by-step guidelines that can be relied on to rigorously conduct bibliometric analysis. However, the current body of evidence is limited in its ability to provide practical knowledge that can enhance the design and performance of bibliometric research. This claim is supported even by the fact that relevant studies refer to their work as ‘bibliometric analysis’ rather than ‘bibliometric research’. Accordingly, we endeavor to offer a more functional framework for researchers who wish to design/conduct bibliometric research on any field of research, especially business and management. To do this, we followed a twofold way. We first outlined the main stages and steps of typical bibliometric research. Then, we proposed a comprehensive framework for specifying how to design/conduct the research and under what headings the relevant stages (step-by-step) will be used and/or presented. Thus, the current paper is expected to be a useful source to gain insights into the available techniques and guide researchers in designing/conducting bibliometric research.

Low-carbon city and its future research trends: A bibliometric analysis and systematic review

Research evolution on low-carbon city measure study: A bibliometric analysis

Digital technologies have been used for a vast amount of bibliometric analysis research. Although these technologies have made scientific investigation more accessible and efficient, scholars now face the daunting task of sifting through an overwhelming number of documents. This study aims to identify bibliometric research analysis's primary topics, categories, and latent topics from a global perspective. This study utilized topic modeling techniques to analyze the abstracts of 16,039 eligible papers published between 1977 and 2023 in the Scopus database. Through the use of Latent Dirichlet Allocation (LDA) topic modeling, the study was able to identify four distinct research topics and observe how they have evolved over time. The research topic has shifted its focus from individual concepts and words to relationships between nodes and conceptual, intellectual, and social structures. The study’s findings have significant implications for bibliometric analysis-related research, providing valuable insights into trends and patterns in bibliometric analysis content within large digital article archives. The LDA has proven to be an efficient tool for analyzing these trends and patterns quickly. This study's novel approach considers factors for word embedding usage and optimal topic numbers. It focuses on a full understanding of the LDA results and combines statistical analysis, domain knowledge, and temporal exploration to better understand how data structures work. Doi: 10.28991/HIJ-2024-05-02-07 Full Text: PDF

Cardiovascular diseases (CVD) pose a significant threat to human health due to their high mortality and morbidity rates. Despite advances in treatments, the prevalence and impact of cardiovascular disease continue to increase. Sodium-glucose transporter 2 inhibitors (SGLT2i), initially approved for the treatment of type 2 diabetes, have important research value and promising applications in reducing CVD risk, especially in heart failure (HF) and atherosclerosis patients with cardiovascular disease (ASCVD). This study aims to comprehensively review the latest progress, research trends, cutting-edge hot spots, and future development directions of SGLT2i in the field of CVD through bibliometric analysis. Articles related to MSCs in cardiovascular diseases were sourced from the Web of Science. The bibliometric analysis was conducted using CiteSpace and VOSviewer, and a knowledge map was created based on the data obtained from the retrieved articles. In this article, we screened 3,476 relevant studies, including 2,293 articles and 1,183 reviews. The analysis found that the number of papers related to the application of SGLT2i in CVD has generally increased, peaking in 2022. The United States and China contributed the largest number of papers, with the United States accounting for 36.97% of the total and also ranking first in terms of the number of citations. However, China's high-quality papers are slightly lacking and need further improvement. Keyword analysis showed that empagliflozin, dapagliflozin, diabetes, and heart failure were the most common terms, reflecting the main research interests in currently published papers in this field. Bibliometric analysis showed a robust and growing interest in the application of SGLT2i for treating CVD. By summarizing the latest progress of SGLT2i in the field of CVD, exploring research hotspots, and looking forward to future research development trends, this article provides valuable insights for thinking about research prospects.

Sustainable–smart–resilient–low carbon–eco–knowledge cities; making sense of a multitude of concepts promoting sustainable urbanization

PurposeThis article develops a review of the university social responsibility literature to identify the most influential countries, authors, journals, and institutions, their structure, and research lines.Design/methodology/approachThe review was carried out from a bibliometric and network analysis of documents published in the Web of Science database.FindingsIn total, 192 documents were found that were scientifically mapped in this field. From the network analysis, four research perspectives were identified: strategic impact management policy, user and its stakeholders, service-learning and its contribution to user, and theories, approaches, and strategies of University Social Responsibility (USR). Finally, the agenda for future research are presented.Originality/valueThe present work carries out a bibliometric and network analysis that seeks to contribute to the literature on USR, identifying its current perspectives and future lines of research.

Periodontal disease is a chronic inflammatory condition affecting the supporting structures of the teeth, involving complex interactions between systemic and local immune responses. Autophagy is a tightly regulated cellular process that is responsible for degrading and recycling cellular components, playing a pivotal role in maintaining cellular homeostasis and modulating inflammation in periodontal disease. In recent years, the relationship between these two factors has attracted attention from scholars globally. However, bibliometric analyses in this field are still limited. To analyze the bibliometric trends and research hotspots related to the role of autophagy in periodontal disease. Articles and reviews examining the association between periodontal disease and autophagy were retrieved from the Web of Science Core Collection (WOSCC) on 20 June 2024. Bibliometric and knowledge mapping analyses were performed using CiteSpace [6.3. R1 (64-bit) Advanced]. Through a bibliometric analysis of literature published between 2006 and 2023 on the role of autophagy in periodontal disease, 341 relevant studies were identified. The results indicate a steady annual increase in studies on this topic, with a significant upward trend observed post-2015. Keyword analysis identifies "apoptosis," "Porphyromonas gingivalis," "oxidative stress," "inflammation," "periodontitis," "osteogenic differentiation," "cell death," and "orthodontic tooth movement" as key research hotspots. Collaboration network analysis identifies China as the leading contributor to research in this field. Document co-citation analysis highlights several influential studies examining the "double-edged sword" role of autophagy in periodontal disease, illustrating how autophagy alleviates oxidative stress and inflammation in periodontitis by removing damaged organelles, inhibiting pro-inflammatory mediators, and promoting periodontal tissue repair through the secretion of pro-angiogenic cytokines. However, excessive autophagy may lead to apoptosis when cellular stress surpasses the repair capacity. This study identifies key trends and research hotspots in autophagy and periodontal disease, underscoring the importance of international collaboration and high-impact journals for advancing the field and guiding future research. Recent studies indicate that autophagy has emerged as a critical mediator with dual roles in periodontal disease. Therefore, early control of periodontal inflammation, along with the exploration of how to harness the protective functions of autophagy, may provide future research directions for managing periodontal disease.

Bibliometric research has recently gained much interest from academics seeking to investigate a particular topic. This study aims to explore the interest of marketing specialists in investigating marketing-related topics using bibliometric analysis. The paper includes the following sections: general information about bibliometric analysis, research methodology and how the database of articles was designed, data analysis results, conclusions and other insights. In this study, we considered the Scopus database for selecting the set of scientific papers. The applications used in the data analysis process are VOSviewer and QDA Miner. To achieve the purpose of the research, we analysed the productivity and impact of countries, journals and papers on the topic of bibliometric analysis in marketing. We also tried to identify the marketing-related concepts that generated the most interest from the specialists in their bibliometric analysis. The study aims to highlight the favorite topics related to marketing that specialists are interested in exploring through bibliometric research.

As of 2024, nearly three decades have passed since Bonny Norton introduced the investment model. This bibliometric review analyses research on this model using metadata from 424 publications indexed in the Web of Science database. Employing bibliometric techniques, the study identifies and visually presents significant sources, countries, institutions, and leading authors. It also examines influential works through h-classics publications. The findings reveal (a) a consistent increase in research related to the investment model over the past decade; (b) a broad range of dissemination sources across disciplines like linguistics, sociolinguistics, education, psychology, cultural studies, and sociology; (c) the prominent role of Norton in research and collaborations; and (d) a strong focus on language learners and teachers’ identity construction and agency, multilingual education, language learning and teaching investment, and cultural and ideological factors, with significant attention to technology and power dynamics. Additionally, the review of the h-classics suggests future research directions, including the (dis)investments of international students, immigrants, and asylum seekers in learning languages other than English (LOTEs), investments in teaching LOTEs in Asia and exploration of language teacher identities and their challenges related to race, sexual orientation, and legitimacy. This research is essential for advancing inclusive language education in multilingual contexts.

This study aimed to investigate the global research status, hot topics, and prospects in the field of sinonasal inverted papilloma (SNIP) through bibliometric analysis. The literature on SNIP was retrieved and downloaded from the Web of Science Core Collection from 2002 to 2021. The bibliometric and visualisation networks of SNIP were constructed using VOSviewer 1.6.18, CiteSpace 6.1. R2, and a bibliometric online analysis platform. A total of 560 original articles about SNIP research were included, involving 2,457 authors from 610 institutions in 45 countries. The number of SNIP publications showed an overall rising trend, with an average annual output of 28 articles and almost 3 times as many articles published in 2020 as in 2002. The analysis of keyword burst detection indicated that EGFR mutation, malignant transformation and infection are emerging research hotspots. Moreover, EGFR mutation, KRAS mutation, malignant tumour, metallothionein 2a gene, pre-operative diagnosis, HPV-negative tumour, and expression were among the 11 key clusters of co-cited references. This study provided a comprehensive, systematic, and objective analysis and visualised knowledge map of SNIP over the past 2 decades. In particular, current hotspots and prospective trends in the field of SNIP have been identified. These results highlight the future direction of SNIP research for rhinologists.

Background Previous studies have shown that valvular heart disease (VHD) is closely related to the development of heart-related disease (HRD). However, the current research for the relationship between VHD and HRD is complex and poorly targeted. Meanwhile, these studies lack the support of bibliometric analysis results. Objective Our study focused on a bibliometric analysis of published papers on the relationship between VHD and HRDs. The study also attempted to identify the primary authors, institutions and countries to analyse the status and trends of research on VHD and HRDs. Methods The PubMed database was searched for publications on VHD and HRD between 2000 and 2023. Python v3.10.8, R v4.2.2 and VOSviewer v1.6.18 software tools were utilised to perform this bibliometric analysis and visualisation. Results There were 4,235 qualified publications found in total, with the annual number of publications increasing. According to the analysis of the co-occurrence of keywords, we found that the main research directions are for age, gender, disease diagnosis and treatment. Newly emerging research mainly focuses on heart failure, which is relatively related to VHD. Conclusion These results provided a useful perspective on current research and future prospects for the research on the link between VHD and HRD, which could help researchers to select partners and facilitate their research to elucidate the underlying molecular mechanisms of VHD and HRD, including the causes, prevention, and treatment.

Over the past decade, acupuncture in the perioperative period has attracted great interest, and a growing number of related literature has been published. To analyze the general information and identify the research hotspots and trends of acupuncture in perioperative medicine in the last 10 years by bibliometric analysis. We searched the Web of Science Core Collection for publications on acupuncture in perioperative medicine from 2013 to 2023. The articles and reviews were collected with no language restriction. CiteSpace and VOSviewer software were used for bibliometric and visual analysis of relevant literature. A total of 814 bibliographic records were retrieved. Overall, the annual number of publications showed an increasing trend. China and its institutions were in a leading position regarding the publication number. With comparatively more scientific collaboration with China, the USA ranked second. Shanghai University of Traditional Chinese Medicine was the most prolific institution. Ha, In-Hyuk had the most publications, and Han JS and Lee A were the most cited authors. Medicine was the most popular journal and Journal of Clinical Oncology had the highest impact factor. "Acupuncture", "electroacupuncture" and "postoperative pain" were the top three keywords. The most popular topics were postoperative pain, postoperative ileus, and postoperative nausea and vomiting according to the keywords and references. And the clusters of postoperative cognitive dysfunction, anxiety, and breast cancer attracted relatively more attention recently. This study summarized the research status, hotspots, and trends of acupuncture in perioperative medicine in the past decade, which may aid researchers in better understanding this field. The research hotspots primarily focused on postoperative pain management and postoperative gastrointestinal function. The research of acupuncture for postoperative cognitive dysfunction, cancer-related surgery, and psychological states were the main frontiers topics and may be the focus in the future.

Seborrheic dermatitis (SD) is a common chronic inflammatory skin disease. In recent years, significant progress has been made in the field of SD, but there has been no bibliometric research yet. This study aims to use bibliometric methods to analyze the current research status and hot topics of SD, to understand further the research trends and future development prospects in this field. Retrieve core literature on SD from the Web of Science database and conduct a detailed analysis using CiteSpace and VOSviewer software based on factors such as publication volume, countries (regions), research institutions, journals, authors, highly-cited papers, and keywords. From 1996 to 2024, a total of 1436 publications were included in the bibliometric analysis. The number of publications has shown an increasing trend year by year. The USA is the leading country in this field of research. The University of California System is the primary research institution. The International Journal of Dermatology is the journal with the highest number of publications. The author Yang Won Lee has the highest number of publications, while the article "Seborrheic Dermatitis" (2004) by Gupta, A.K. has been cited the most. "Seborrheic dermatitis" is the most frequently occurring keyword. The main research hotspots and frontiers in SD are as follows: (1) The relationship between SD and other skin diseases is a popular research topic; (2) Malassezia and inflammation are current research hotspots in SD; and (3) Focusing on antifungal and anti-inflammatory treatments for SD is the current frontier direction in this field. This study is a summary of the current status and hot trends of SD research, which helps clinical doctors and researchers quickly understand the insights and valuable information of SD research and provides reference for clinical decision-making and finding future research directions.

The concept of bibliometric analysis, in addition to seeing the developments in any scientific field over a certain period of time, also provides information about where the scientific field in question will evolve in the future by offering a different perspective to understand the evolution of the field related to the concept. Bibliometric analysis method, which is used as an element or content in socio-economic fields such as communication, public relations, advertising, marketing, health, business, economy, finance and banking, technology, education, politics, etc., is the subject of many academic researches and numerous studies in the literature. The concept of bibliometric analysis is intricate and complex, and performing a bibliometric analysis of bibliometric analysis research will be able to provide a panoramic perspective to researchers and organizations in different disciplines. The research aims to evaluate the status of the concept of bibliometric analysis in the international literature within the framework of descriptive analysis with the document review method. For this purpose, after searching the Web of Science database and the necessary limitation procedures, a total of 18.432 published scientific studies published between 1980 and 2023 that include the concept of bibliometric analysis in all research, titles or keywords or have bibliometric analysis content were accessed. A total of 18.432 scientific studies accessed constitute the sample of the study. A total of 18.432 scientific studies with bibliometric analysis content were analyzed with the VOS viewer program to determine the scientific categories and interest orientation in which the interest in bibliometric analysis is concentrated, and the prominent country, organization, author and keyword concept units were reached with the publication-citation mapping technique. As a result of the research, besides the fact that the studies on bibliometric analysis are generally co-authored and that there is a high level of collaborative index in the fields of study, no common concept association related to bibliometric analysis or any common word concept or keyword association related to the expression bibliometric analysis was found.