Bibliometric Perspective Research Articles

Lean and Industry 4.0: A bibliometric analysis, opportunities for future research directions

Lean is a philosophy that helps organizations develop a continuous improvement culture by eliminating waste and minimizing the use of resources. On the other hand, Industry 4.0 is a complex high-tech model that contributes to flexible organizations using different technologies such as IoT, cloud computing, blockchain, virtual reality, and Artificial Intelligence. The concept of integrating Lean Principles and Industry 4.0 is still very recent and limited, and the literature lacks a bibliometric perspective. The integration is challenging in terms of contentment-wise and is a broad multi-dimensional research area. This study aims to analyze Lean Industry 4.0 or Lean 4.0 and Lean digital transformation literature using bibliometrics, identifying its state of art, benefits, challenges, and scientific gaps. In this study, articles published between 2010 and 2022 from the Scopus database are analyzed to identify significant publications, journals, authors, institutions, and countries based on the number of publications and frequently used keywords and subject areas. This study contributes to developing the state of art of Lean Industry 4.0 and Lean digital transformation and helps researchers and practitioners direct their future studies. The literature performance is measured based on both the number of publications and the number of citations; this bibliometric analysis covers most of the published papers in both research domains.

A bibliometrics and visualization analysis of cannabidiol research from 2004 to 2021.

Cannabidiol, a non-psychoactive component extracted from the plant cannabis sativa, has gained growing focus in recent years since its extensive pharmacology effects have been founded. The purpose of this study intends to reveal the hot spots and frontiers of cannabidiol research using bibliometrics and data visualization methods. A total of 3,555 publications with 106,793 citations from 2004 to 2021 related to cannabidiol were retrieved in the Web of Science database, and the co-authorships, research categories, keyword burst, and reference citations in the cannabidiol field were analyzed and visualized by VOSviewer and Citespace software. Great importance has been attached to the pharmacology or pharmacy values of cannabidiol, especially in the treatment of neuropsychiatric disorders, such as epilepsy, anxiety, and schizophrenia. The mechanisms or targets of the cannabidiol have attracted the extreme interest of the researchers, a variety of receptors including cannabinoids type 1, cannabinoids type 2, 5-hydroxytriptamine1A, and G protein-coupled receptor 55 were involved in the pharmacology effects of cannabidiol. Moreover, the latest developed topic has focused on the positive effects of cannabidiol on substance use disorders. In conclusion, this study reveals the development and transformation of knowledge structures and research hotspots in the cannabidiol field from a bibliometrics perspective, exploring the possible directions of future research.

Environmental entrepreneurship: a bibliometric perspective of the field

Environmental entrepreneurship: a bibliometric perspective of the field

Research trends and frontiers on antiphospholipid syndrome: A 10-year bibliometric analysis (2012–2021)

Objectives: A growing body of studies related to antiphospholipid syndrome (APS) have been published in recent years. Nevertheless, there is a lack of visualized and systematic analysis in the literature on APS. Hence, this study sought to conduct a bibliometric analysis to identify research status and discover frontiers in the field. Methods: Articles and reviews concerning APS were acquired from the Web of Science Core Collection (WoSCC) database. CiteSpace, VOSviewer and a bibliometric online analysis platform were employed to conduct a visualization and knowledge-map analysis. Results: A total of 1,390 publications regarding APS were identified. Globally, Italy contributed the most publications. The University of Padua was the most productive institution. Lupus ranked first in both the most published and most co-cited journals. Savino Sciascia and Spiros Miyakis were the most prolific and most co-cited authors, respectively. "Vitamin K antagonists (VKA)" and "immunoglobulin A (IgA)" were current research foci. Burst analysis of keywords suggested that "neutrophil extracellular trap (NET)," "direct oral anticoagulant (DOAC)," "open label," "outcome," "hydroxychloroquine (HCQ)," and "arterial thrombosis (AT)" were significant future research frontiers. Conclusion: The scientific literature on APS has increased steadily in the past 10years. The clinical studies on the treatment and mechanism research of APS are recognized as promising research hotspots in the domain of APS. The research status and trends of APS publications from the bibliometric perspective can provide a practical guide and important reference for subsequent studies by researchers and physicians in the domain.

Uncovering the information immunology journals transmitted for COVID-19: A bibliometric and visualization analysis

Since the global epidemic of the coronavirus disease 2019 (COVID-19), a large number of immunological studies related to COVID-19 have been published in various immunology journals. However, the results from these studies were discrete, and no study summarized the important immunological information about COVID-19 released by these immunology journals. This study aimed to comprehensively summarize the knowledge structure and research hotspots of COVID-19 published in major immunology journals through bibliometrics. Publications on COVID-19 in major immunology journals were obtained from the Web of Science Core Collection. CiteSpace, VOSviewer, and R-bibliometrix were comprehensively used for bibliometric and visual analysis. 1,331 and 5,000 publications of 10 journals with high impact factors and 10 journals with the most papers were included, respectively. The USA, China, England, and Italy made the most significant contributions to these papers. University College London, National Institute of Allergy and Infectious Diseases, Harvard Medical School, University California San Diego, and University of Pennsylvania played a central role in international cooperation in the immunology research field of COVID-19. Yuen Kwok Yung was the most important author in terms of the number of publications and citations, and the H-index. CLINICAL INFECTIOUS DISEASES and FRONTIERS IN IMMUNOLOGY were the most essential immunology journals. These immunology journals mostly focused on the following topics: "Delta/Omicron variants", "cytokine storm", "neutralization/neutralizing antibody", "T cell", "BNT162b2", "mRNA vaccine", "vaccine effectiveness/safety", and "long COVID". This study systematically uncovered a holistic picture of the current research on COVID-19 published in major immunology journals from the perspective of bibliometrics, which will provide a reference for future research in this field.

Analysis of multiscale process monitoring in industrial processes from a bibliometric perspective

Process monitoring is required for effective process control and safety. Multiscale classification offers a variety of benefits in monitoring industrial processes that are typically driven by events occurring in distinct time and frequency domains. This study examined 208 publications on multiscale process monitoring in industrial processes through bibliometric analysis based on the Web of Science and Scopus databases. The purpose of this study was to document the publication trend, geographic distribution, prolific authors, countries, and affiliations, as well as the most frequently used publishing sources and most cited publications. In addition, keyword analysis and collaboration analysis based on authors and countries were also presented. The most productive authors and institutions were determined using two relatively new performance measures: the weighted publications and the weighted citations. The top ten most cited publications in this study area are identified based on the total citations and the average citations per year. Finally, the research trends and evaluations were also presented based on the author's keywords. It can be concluded that the findings of this study will help future researchers exploring creativity to concentrate their research better.

Nano-drug delivery system for pancreatic cancer: A visualization and bibliometric analysis.

Background: Nano drug delivery system (NDDS) can significantly improve the delivery and efficacy of drugs against pancreatic cancer (PC) in many ways. The purpose of this study is to explore the related research fields of NDDS for PC from the perspective of bibliometrics. Methods: Articles and reviews on NDDS for PC published between 2003 and 2022 were obtained from the Web of Science Core Collection. CiteSpace, VOSviewer, R-bibliometrix, and Microsoft Excel were comprehensively used for bibliometric and visual analysis. Results: A total of 1329 papers on NDDS for PC were included. The number of papers showed an upward trend over the past 20years. The United States contributed the most papers, followed by China, and India. Also, the United States had the highest number of total citations and H-index. The institution with the most papers was Chinese Acad Sci, which was also the most important in international institutional cooperation. Professors Couvreur P and Kazuoka K made great achievements in this field. JOURNAL OF CONTROLLED RELEASE published the most papers and was cited the most. The topics related to the tumor microenvironment such as "tumor microenvironment", "tumor penetration", "hypoxia", "exosome", and "autophagy", PC treatment-related topics such as "immunotherapy", "combination therapy", "alternating magnetic field/magnetic hyperthermia", and "ultrasound", and gene therapy dominated by "siRNA" and "miRNA" were the research hotspots in the field of NDDS for PC. Conclusion: This study systematically uncovered a holistic picture of the performance of NDDS for PC-related literature over the past 20years. We provided scholars to understand key information in this field with the perspective of bibliometrics, which we believe may greatly facilitate future research in this field.

Bibliometric Analysis on Medical Education During Covid-19 Pandemic

Medical education encompasses vast topics related to teaching-learning, among medical students. Bibliometric analysis is a scientific method to review properties of academic publications using quantitative statistical techniques. Aim of this study is to provide a bibliometric analysis of scholarly publications specifically on medical education related topics during the COVID-19 pandemic. The relevant documents on medical education were obtained from the Scopus database. Database search performed on 20th March 2022 and analysed using Microsoft Excel 365, VOSviewer and Harzing’s Publish or Perish. A total of 1436 documents were retrieved from Scopus database, left with 782 documents after filtering. For the past 2 years, the total citations received are 4974, while 44% of the documents were never cited. The most productive journal is BMC Medical Education. Most cited article is entitled: Medical Student Education in the Time of COVID-19 published in 2020. Most frequently used author keyword is covid-19. Visualisation on citation analysis among countries reveal the strongest link by United States of America with other countries. The current study provides a bibliometric perspective on the available medical education related publications in addressing issues related to covid-19 that is useful to guide them in considering possible future studies.

Telling Our Own Story: A Bibliometrics Analysis of Mainland China’s Influence on Chinese Politics Research, 2001–2020

ABSTRACTThis study conducted a bibliometric analysis of Chinese politics research from 2001 to 2020 (N = 11,285) using Social Sciences Citation Index data. The number of publications in the field by scholars from Mainland China surged in the past 20 years; however, their influence on academia remained limited. Chinese institutions serve as the major hubs of collaborative networks. Using structural topic models, we identified 25 research topics that can be categorized in three clusters. In the past 20 years, scholars from Mainland China steered the focus of Chinese politics by causing a reduction in the proportion of international relation topics and an increase in the proportion of political economy topics. Domestic politics topics had the most citations. Scholars from Mainland China have made contributions to better research methods in the field. This article is a comprehensive view of Chinese politics research using a tool that is rarely used by political scientists. It depicts how studies of Chinese politics influence academia from a bibliometrics perspective.

Analysis of the structure and time-series evolution of knowledge label network from a complex perspective

PurposeThe research on social media-based academic communication has made great progress with the development of the mobile Internet era, and while a large number of research results have emerged, clarifying the topology of the knowledge label network (KLN) in this field and showing the development of its knowledge labels and related concepts is one of the issues that must be faced. This study aims to discuss the aforementioned issue.Design/methodology/approachFrom a bibliometric perspective, 5,217 research papers in this field from CNKI from 2011 to 2021 are selected, and the title and abstract of each paper are subjected to subword processing and topic model analysis, and the extended labels are obtained by taking the merged set with the original keywords, so as to construct a conceptually expanded KLN. At the same time, appropriate time window slicing is performed to observe the temporal evolution of the network topology. Specifically, the basic network topological parameters and the complex modal structure are analyzed empirically to explore the evolution pattern and inner mechanism of the KLN in this domain. In addition, the ARIMA time series prediction model is used to further predict and compare the changing trend of network structure among different disciplines, so as to compare the differences among different disciplines.FindingsThe results show that the degree sequence distribution of the KLN is power-law distributed during the growth process, and it performs better in the mature stage of network development, and the network shows more stable scale-free characteristics. At the same time, the network has the characteristics of “short path and high clustering” throughout the time series, which is a typical small-world network. The KLN consists of a small number of hub nodes occupying the core position of the network, while a large number of label nodes are distributed at the periphery of the network and formed around these hub nodes, and its knowledge expansion pattern has a certain retrospective nature. More knowledge label nodes expand from the center to the periphery and have a gradual and stable trend. In addition, there are certain differences between different disciplines, and the research direction or topic of library and information science (LIS) is more refined and deeper than that of journalism and media and computer science. The LIS discipline has shown better development momentum in this field.Originality/valueKLN is constructed by using extended labels and empirically analyzed by using network frontier conceptual motifs, which reflects the innovation of the study to a certain extent. In future research, the influence of larger-scale network motifs on the structural features and evolutionary mechanisms of KLNs will be further explored.

Correction: Core-periphery nexus in the EU social sciences: bibliometric perspective

Correction: Core-periphery nexus in the EU social sciences: bibliometric perspective

A Bibliometric Perspective on AI Research for Job-Résumé Matching.

The search for the right person for the right job, or in other words the selection of the candidate who best reflects the skills demanded by employers to perform a specific set of duties in a job appointment, is a key premise of the personnel selection pipeline of recruitment departments. This task is usually performed by human experts who examine the résumé or curriculum vitae of candidates in search of the right skills necessary to fit the vacant position. Recent advances in AI, specifically in the fields of text analytics and natural language processing, have sparked the interest of research on the application of these technologies to help recruiters accomplish this task or part of it automatically, applying algorithms for information extraction, parsing, representation, and matching of résumés and job descriptions, or sections within. In this study, we aim to better understand how the research landscape in this field has evolved. To do this, we follow a multifaceted bibliometric approach aimed at identifying trends, dynamics, structures, and visual mapping of the most relevant topics, highly cited or influential papers, authors, and universities working on these topics, based on a publication record retrieved from Scopus and Google Scholar bibliographic databases. We conclude that, unlike a traditional literature review, the bibliometric-guided approach allowed us to discover a more comprehensive picture of the evolution of research in this subject and to clearly identify paradigm shifts from the earliest stages to the most recent efforts proposed to address this problem.

Global Trends in Research on Cell-Free Nucleic Acids in Obstetrics and Gynecology during 2017-2021.

Objectives. The objectives of this study were to identify global trends in research on cell-free deoxyribonucleic acid (cfDNA) from a bibliometric perspective and provide researchers with new research hotspots. Methods. In all, we extracted 5038 pieces of literature from PubMed and 527 articles from the Web of Science Core Collection (WoSCC) database related to cfDNA published from 1 January 2017 to 31 December 2021. For PubMed literature, we employed co-word, biclustering, and strategic diagram analysis to describe the trends in research on cfDNA in the said five years. Then, we used VOSviewer analysis for the WoSCC database to display the trends in research on cfDNA in obstetrics and gynecology during 2017–2021. Results. Strategy diagram analysis of 95 major Medical Subject Headings terms extracted from 5038 pieces of literature indicated that cfDNA sequence analysis for non-invasive prenatal and genetic testing and its application in the fields of neoplasm genetics and diagnosis is a newly emerging immature theme of cfDNA. VOSviewer analysis of 527 articles showed the global trends in research on cfDNA in obstetrics and gynecology, for example, in terms of most influential authors, institutions, countries, journals, and five research hotspots: (1) cfDNA application in prenatal screening and prenatal diagnosis, (2) cfDNA application in assisted reproductive technology, (3) cfDNA application in pre-eclampsia, DNA methylation, etc., (4) cfDNA application in placental dysfunction and fetal growth restriction, and (5) cfDNA application in fetal chromosomal abnormalities (fetal aneuploidy). Conclusions. Comprehensive visual analysis provides information regarding authors, organizations, countries/regions, journals, research hotspots, and emerging topics in the field of cfDNA for obstetrics and gynecology research. This comprehensive study could make it easier to find a partner for project development and build a network of knowledge on this emerging topic.

Review on Eco-Environment Research in the Yellow River Basin: A Bibliometric Perspective.

The Yellow River Basin (YRB) is an important economic zone and ecological barrier in China. The analysis of its research characteristics and hotspots has been helpful to grasping the future research direction. This work carried out text mining and analysis on scientific papers related to eco-environment research in the YRB from English and Chinese publications. It showed that: there was a fluctuating upward trend over the past 30 years, which was closely related to major events in the YRB during the same period. Chinese research institutions have a closer cooperation with the USA, Australia and other developed countries. More articles were from high-quality journals in ecology, the environment, and others. Interestingly, research institutions with more Chinese articles were mainly located around Beijing or the YRB. Additionally, from a research object perspective, both the English and Chinese articles have mainly focused on large areas such as the lower Yellow River, the middle reaches of the Yellow River, and the upper reaches of the Yellow River, then turning to small areas such as the Yellow River estuary and the source area of the Yellow River. Eco-environment research in the YRB has involved multiple disciplines, and “water–soil–vegetation–ecological protection” has been widely concerned. From the evolution law of hot topics, it has shown a transformation from quantity to quality, from utilization to management, from macro to micro, from construction to high-quality development. It suggests that future research should focus on water, soil, the ecological environment and local high-quality development in small regions and small watersheds.

Scientometric Analysis on Rice Research under Drought, Waterlogging or Abrupt Drought-Flood Alternation Stress

Many studies have shown that abiotic stresses could severely impact crop growth and yield, but a comprehensive review from a bibliometric perspective is lacking. This study explores how the research direction of rice under drought, waterlogging or both stresses has evolved over the past three decades, based on bibliometric analysis using Vosviewer 1.6.15 and HistCite Pro. Data were collected from the academic database of Web of Science. The results showed that 12 journals had a high number of publications and highly local citations. Meanwhile, the three journals of Field Crops Research, Journal of Experimental Botany and Plant Physiology could be the most influential leaders in this field. The author Arvind Kumar had the highest contribution to the output of articles, and Lizhong Xiong had a greater impact on the field. China, and Chinese institutions, were dominant in terms of the number of articles, but Japan, Germany, UK and institutions in USA and Japan had a higher quality of publications on average. Scholars are concerned with using transgenic methods for improving rice productivity with increasing abiotic stress tolerance; the research topics of rice cultivars, irrigation, water-use efficiency and soil fertility may be gradually shifting from a single theme to intertwining with the themes of genomics and abiotic/biotic resistance with climate change in the future.

Chinese Research Article Introductions: Move Analysis and Linguistic Features

Research on academic genre has received widespread attention from linguists around the world. In the big data era, the demand of knowledge mining promotes the emergence and development of bibliometrics, and formal description of scientific knowledge is also put on the agenda. The application of RA move analysis to the field of knowledge mining is a new perspective of bibliometrics. At present, there are few studies on move analysis of Chinese RA introductions, and fewer studies are oriented to discourse computing. This study analyzes the move structures of Chinese RA introductions and finds out some linguistic features corresponding to each move. It is found that nearly half of the Chinese RA introductions follow the CARS model, but there are also unconventional structures. The linguistic features, including citation, negation, connectives and sentence subjects, are helpful for the automatic identification of move structures of Chinese RA introductions.

Future trends and patterns in leachate biological treatment research from a bibliometric perspective.

Leachate has become a great deal of concern due to its complex properties which are primarily caused by the high concentrations of organics and ammonia. Thus, proper leachate treatment is required prior to its discharge. Leachate can be treated in various ways, and biological treatment is one of the approaches. This treatment has been shown to be both effective and cost-efficient while offering the possibility of resource recovery in the form of bioenergy. In this study, the underlying patterns in publications related to leachate biological treatment were uncovered through bibliometric analysis. This study also lays the groundwork for a deeper understanding of the past, current, and future trends of the leachate biological treatment. Research publications from 1974 to 2021 were retrieved from the Scopus database, and it was identified that 2013 articles were published in the span of 47 years. From the analyzed publications, China played a leading role in publishing leachate biological treatment research articles as well as having the most productive institutions and authors. Meanwhile, the USA was found to be the most active country in initiating international collaborations with 33 countries. The research hotspots were also successfully identified using keyword co-occurrences analysis. Anaerobic digestion and constructed wetland were revealed to be the research hotspots. The critical role of biological treatment in removing nitrogen from leachate was also highlighted. Besides, numerous research gaps were identified in the application of aerobic granular sludge (AGS) for leachate treatment. This can be a potential area for research in the future. Finally, future research should be encouraged to focus on the use of sustainable treatment systems in which energy recovery in the form of biogases is promoted.

Health risk analysis of microplastics in soil in the 21st century: A scientometrics review

Microplastics (MPs) in soil cause severe damage to the ecological environment and organisms, and research on their health risks has received extensive attention, but there is no comprehensive review of this research. From the perspective of bibliometrics, this paper systematically and comprehensively describes the progress, trends, and hotspots of health risks of MPs in soil based on the Web of Science Core Collection, Pubmed, and Scopus databases. Since 2016, people’s research on the health risks of MPs in soil has increased yearly; MPs in soil mainly come from Plastic mulch, Plastic waste, Sludge and sewage, and Organic fertilizer. China has the most publications on the health risks of MPs on soil, and more than half of the top 10 institutions with active publications in this field are from China. This paper systematically expounds on the health risks of MPs to organisms (plants, humans, and microorganisms) and control measures. Cooperation between different countries/institutions and fields/disciplines on the health risk analysis of MPs in soil and research on more efficient, green, and environmentally friendly methods and technologies for reducing soil MPs content will become the frontier trends of future development which provide valuable reference and help for future researchers.

Bibliometric and visual analysis of intestinal ischemia reperfusion from 2004 to 2022.

BackgroundIntestinal ischemia/reperfusion (I/R) injury is a common tissue-organ damage occurring in surgical practice. This study aims to comprehensively review the collaboration and impact of countries, institutions, authors, subject areas, journals, keywords, and critical literature on intestinal I/R injury from a bibliometric perspective, and to assess the evolution of clustering of knowledge structures and identify hot trends and emerging topics.MethodsArticles and reviews related to intestinal I/R were retrieved through subject search from Web of Science Core Collection. Bibliometric analyses were conducted on Excel 365, CiteSpace, VOSviewer, and Bibliometrix (R-Tool of R-Studio).ResultsA total of 1069 articles and reviews were included from 2004 to 2022. The number of articles on intestinal I/R injury gradually plateaued, but the number of citations increased. These publications were mainly from 985 institutions in 46 countries, led by China and the United States. Liu Kx published the most papers, while Chiu Cj had the largest number of co-citations. Analysis of the journals with the most outputs showed that most journals focused on surgical sciences, cell biology, and immunology. Macroscopic sketch and microscopic characterization of the entire knowledge domain were achieved through co-citation analysis. The roles of cell death, exosomes, intestinal flora, and anesthetics in intestinal I/R injury are the current and developing research focuses. The keywords “dexmedetomidine”, “proliferation”, and “ferroptosis” may also become new trends and focus of future research.ConclusionThis study comprehensively reviews the research on intestinal I/R injury using bibliometric and visualization methods, and will help scholars better understand the dynamic evolution of intestinal I/R injury and provide directions for future research.

Systematic Analysis of Research in Educational Management from the Perspective of Bibliometrics and Scientometrics

Systematic Analysis of Research in Educational Management from the Perspective of Bibliometrics and Scientometrics