Bibliometric Analysis Research Articles

The Future of Environmental Engineering Technology: A Disruptive Innovation Perspective

Scientific and technological revolutions and industrial transformations have accelerated the rate of innovation in environmental engineering technologies. However, few researchers have evaluated the current status and future trends of technologies. This paper summarizes the current research status in eight major subfields of environmental engineering—water treatment, air pollution control, soil/solid waste management, environmental biotechnology, environmental engineering equipment, emerging contaminants, synergistic reduction in pollution and carbon emissions, environmental risk, and intelligent management—based on bibliometric analysis and future trends in greenization, low carbonization, and intelligentization. Disruptive technologies are further identified based on discontinuous transformation, and ten such technologies are proposed, covering general and specific fields, technical links, and value sources. Additionally, the background and key innovations in disruptive technologies are elucidated in detail. This study not only provides a scientific basis for strategic decision-making, planning, and implementation in the environmental engineering field but also offers methodological guidance for the research and determination of breakthrough technologies in other areas.

Mapping Dysphagia Research Trends in Community Dwelling Older Adults: A Bibliometric Analysis.

In recent years, research on dysphagia has gained significant traction as one of the key topics of oral health research pertaining to the aged. Numerous academics have studied dysphagia in great detail and have produced numerous excellent scientific research findings. To review the literature regarding dysphagia in community-dwelling older adults and identify the knowledge and trends using bibliometric methods. The literature on dysphagia in older adults in the community was gathered from the Web of Science Core Collection (WoSCC), with inclusion criteria specifying English-language publications. The retrieval deadline was November 28, 2022. We extracted the following data: title, year, abstract, author, keywords, institution, and cited literature, and used CiteSpace (version 6.1.R3) to visualize the data through the knowledge map, burst keyword analysis, cluster analysis, and collaborative network analysis. A total of 979 articles and reviews were retrieved. Regarding productivity, the top 2 countries were the United States (n =239) and Japan (n =236). Hidetaka Wakabayashi (n =26) was one of the most prolific writers. The first paper in the frequency ranking of references cited was a white paper: European Society for Swallowing Disorders and European Union Geriatric Medicine Society white paper: oropharyngeal dysphagia as a geriatric syndrome (n =53). "Prevalence" (n =173), "risk factor" (n =119), and "aspiration pneumonia" (n =108) were the most frequently occurring keywords (excluding defining nouns). The study identified reliability, tongue pressure, home discharge, and swallowing function as research hotspots from 2020 to 2022. Prevalence, risk factors, and pneumonia are significant areas of study. Tongue pressure and sarcopenia are research hotspots and potential targets. In the future, research on dysphagia needs to refine strategies for prevention and control, as well as provide tertiary preventative services.

Global research of artificial intelligence in eyelid diseases: A bibliometric analysis

PurposeTo generate an overview of global research on artificial intelligence (AI) in eyelid diseases using a bibliometric approach. MethodsAll publications related to AI in eyelid diseases from 1900 to 2023 were retrieved from the Web of Science (WoS) Core Collection database. After manual screening, 98 publications published between 2000 and 2023 were finally included. We analyzed the annual trend of publication and citation count, productivity and co-authorship of countries/territories and institutions, research domain, source journal, co-occurrence and evolution of the keywords and co-citation and clustering of the references, using the analytic tool of the WoS, VOSviewer, Wordcloud Python package and CiteSpace. ResultsBy analyzing a total of 98 relevant publications, we detected that this field had continuously developed over the past two decades and had entered a phase of rapid development in the last three years. Among these countries/territories and institutions contributing to this field, China was the most productive country and had the most institutions with high productivity, while USA was the most active in collaborating with others. The most popular research domains was Ophthalmology and the most productive journals were Ocular Surface. The co-occurrence network of keywords could be classified into 3 clusters respectively concerned about blepharoptosis, meibomian gland dysfunction and blepharospasm. The evolution of research hotspots is from clinical features to clinical scenarios and from image processing to deep learning. In the clustering analysis of co-cited reference network, cluster “0# deep learning” was the largest and latest, and cluster “#5 meibomian glands visibility assessment” existed for the longest time. ConclusionsAlthough the research of AI in eyelid diseases has rapidly developed in the last three years, there are still gaps in this area. Our findings provide researchers with a better understanding of the development of the field and a reference for future research directions.

Trends and hot spots in research related to aqueous humor from 2014 to 2023: A bibliometric analysis

PurposeTo analyze publication trends and investigate research hotspots of aqueous humor (AH) studies. MethodsA bibliometric study was conducted based on the Web of Science Core Collection (WOSCC). VOSviewer v. 1.6.18 was utilized to create a knowledge map visualizing the number of annual publications, the distribution of countries, international collaborations, author productivity, source journals and keywords in the field. ResultsA grand total of 4020 peer-reviewed papers concerning AH were retrieved from 2014 to 2023. The United States of America secured the top position among the most published countries and Duke University emerged as the most active institution. Stamer, WD contributed the most papers in this area. Investigative Ophthalmology & Visual Science was the most prolific journal in AH research. Retrieved publications mainly concentrated on the correlation between AH as a biomarker carrier and different ocular disorders. Six clusters were formed based on the keywords: (1) the diagnosis of endophthalmitis and AH pharmacokinetics; (2) the association of AH with pathogenesis and prognosis of glaucoma; (3) diagnosis and treatment of AH associated with uveitis; (4) the relationship between AH and refractive diseases of the eye; (5) the association of AH with mechanism and biomarkers of ocular tumorigenesis; (6) the indicators of AH associated with fundus disease. ConclusionsThis study unveiled present patterns of global collaboration, emerging frontiers, fundamental knowledge, research hotspots and current trends in AH.

Risk factors associated with early childhood caries: A bibliometric analysis

Context: Early childhood caries (ECC) is a significant oral health problem affecting children worldwide. Its consequences can range from pain and infection to impact on children's quality of life. Research on risk factors associated with ECC is evolving but shows gaps and inconsistencies. Aims: To examine research trends on risk factors associated with early childhood caries in the Scopus and Web of Science databases. Methods: A methodology based on the PRISMA 2020 declaration was used, focusing on a systematic bibliometric review. Results: The results showed a significant increase in scientific interest in ECC, especially in 2021 and 2022, with a 98.87% increase in publications. Countries such as India and the United States were leading the research, and current thematic trends lean towards oral hygiene practices and survival analysis. Conclusions: The evolution of the field suggests a focus on emerging areas and adaptability to the changing needs of affected populations.

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Background: Microbial resistance to various drugs is a significant challenge in treating infectious diseases, necessitating the development of new drugs. Pyrimidine, with diverse biological effects, is an effective component in antimicrobial drugs. Despite significant progress over the last decade in studying pyrimidine as an antimicrobial agent, a bibliometric analysis in this area is lacking. This analysis aims to fill that gap and provide insights into the field's evolution. Methods: A comprehensive examination of the available literature published between 2015 and 2023 on pyrimidine derivatives as antimicrobial agents was done across the Scopus database. Microsoft Excel 365 was employed to analyze the quantitative variables, such as publications and citation counts, for the authors, institutions, countries, and journals. Furthermore, the network visualization and analysis of co-authorship, co-occurrence, and co-citation among countries, institutions, authors, and keywords were facilitated by VOSviewer. Results: A total of 934 articles were selected for the study. The years 2019 and 2022 exhibited the highest volume of published papers on pyrimidine derivatives as antimicrobial agents between 2015 and 2023, with 125 publications each. A total of 53 countries contributed to the topic, with India leading in publications, followed by Egypt, China, Saudi Arabia, and the United States. Among journals, the Journal of Heterocyclic Chemistry had the highest number of publications (n = 50), followed by the European Journal of Medicinal Chemistry with 37 publications. Conclusion: The findings offer crucial insights for researchers in choosing specific compounds for future studies, highlighting the importance of bibliometric analysis in advancing pyrimidine antimicrobial research.

Publications and ranking in orthopaedics and sports medicine of European countries during the last three decades: A bibliometric analysis

IntroductionThe present investigation examined the trend of publications and ranking in Orthopaedics and Sports Medicine of European countries during the years 1996 to 2022 and compared these with all the regions globally. MethodsIn September 2023, the SCOPUS data of publications in Orthopaedics and Sports Medicine from the SCImago Journal & Country Rank website were retrieved. All the data from Western and Eastern Europe were extracted from the overall data of the global countries and merged into Excel files, for each of the years 1996–2022 and 2022. ResultsWestern European countries contributed significantly to the global share of publications in Orthopaedics and Sports Medicine with nearly 1/3rd of the total publications. Eastern European countries’ contribution was minimal to the global publications and was almost 10 times less than the Western European countries. The total number of publications in the area of Orthopaedics and Sports Medicine from 1996 to 2022 at the European scale was led by the United Kingdom (N = 51510) and has maintained its supremacy until recently, in 2022. Amongst Western European countries, during the cumulative period of 1996–2022, the maximum contributions were made by the United Kingdom (N = 51510), and also in 2022, the United Kingdom contributed maximally (N = 3339). In the cumulative period of 1996–2022, Poland contributed maximally (N = 4049) among the Eastern European countries. In 2022, the maximum contribution from the Eastern European countries came from the Russian Federation (N = 462). ConclusionThe European continent is the major contributor to Orthopaedics and Sports Medicine research and publications, with almost 1/3rd of the global share of publications. Western European countries are far ahead in their contributions than Eastern European countries.

Bibliometric analysis of T-cells immunity in pulmonary hypertension from 1992 to 2022.

Adaptive immunity is an important disease mediator of pulmonary vascular remodeling during pulmonary hypertension (PH) development, especially T-cells lymphocytes. However, data for bibliometric analysis of T cell immunity in PH is currently vacant. This aimed to provide a comprehensive and visualized view of T-cells research in PH pathogenesis and to lay a solid foundation for further studies. The data was acquired from the Web of Science Core Collection database. Web of Science analytic tool was used to analysis the publication years, authors, journals, countries, and organizations. CiteSpace 6.2.R3, VOSviewer 1.6.16, and Scimago Graphica 1.0.35.0 were applied to conduct a visualization bibliometric analysis about authors, countries, institutions, journals, references, and keywords. Nine hundred and eight publications from 1992 to 2022 were included in the analysis. The results showed that Humbert Marc was the most prolific author. American Journal of Physiology Lung Cellular and Molecular Physiology had the most related articles. The institution with the most articles was Udice French Research University. The United States was far ahead in the article output. Keywords analysis showed that "Pulmonary hypertension" was the most usually appeared keyword in the relevant literature, and included "T-cells", "Regulatory T cells", and "Activated T cell." "miRNA" of reference co-citation clustering analysis demonstrated the possible T-cell immunity activation mechanisms in PH. The most cited literature was published in the European Heart Journal by Galie N in 2016. The strongest citation burst of keyword is "gene expression" and terms such as "vascular remodeling," "growth," "proliferation," and "fibrosis" are among the list, indicating that T-cells interact with stromal vascular cells to induce pulmonary vascular remodeling. The strongest burst of cited reference is "Galie N, 2016." T-cell immunity is an important pathogenesis mechanism for PH development, which may have interaction with miRNAs and stromal vascular cells, but the possible T-cell immunity activation mechanisms in PH need to be investigated further.

Research into super-resolution in medical imaging from 2000 to 2023: bibliometric analysis and visualization.

Super-resolution (SR) refers to the use of hardware or software methods to enhance the resolution of low-resolution (LR) images and produce high-resolution (HR) images. SR is applied frequently across a variety of medical imaging contexts, particularly in the enhancement of neuroimaging, with specific techniques including SR microscopy-used for diagnostic biomarkers-and functional magnetic resonance imaging (fMRI)-a neuroimaging method for the measurement and mapping of brain activity. This bibliometric analysis of the literature related to SR in medical imaging was conducted to identify the global trends in this field, and visualization via graphs was completed to offer insights into future research prospects. In order to perform a bibliometric analysis of the SR literature, this study sourced all publications from the Web of Science Core Collection (WoSCC) database published from January 1, 2000, to October 11, 2023. A total of 3,262 articles on SR in medical imaging were evaluated. VOSviewer was used to perform co-occurrence and co-authorship analysis, and network visualization of the literature data, including author, journal, publication year, institution, and keywords, was completed. From 2000 to 2023, the annual publication volume surged from 13 to 366. The top three journals in this field in terms of publication volume were as follows: (I) Scientific Reports (86 publications), (II) IEEE Transactions on Medical Imaging (74 publications), and (III) IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control (56 publications). The most prolific country, institution, and author were the United States (1,017 publications; 31,301 citations), the Chinese Academy of Sciences (124 publications; 2,758 citations), and Dinggang Shen (20 publications; 671 citations), respectively. A cluster analysis of the top 100 keywords was conducted, which revealed the presence of five co-occurrence clusters: (I) SR and artificial intelligence (AI) for medical image enhancement, (II) SR and inverse problem processing concepts for positron emission tomography (PET) image processing, (III) SR ultrasound through microbubbles, (IV) SR microscopy for Alzheimer and Parkinson diseases, and (V) SR in brain fMRI: rapid acquisition and precise imaging. The most recent high-frequency keywords were deep learning (DL), magnetic resonance imaging (MRI), and convolutional neural networks (CNNs). Over the past two decades, the output of publications by countries, institutions, and authors in the field of SR in medical imaging has steadily increased. Based on bibliometric analysis of international trends, the resurgence of SR in medical imaging has been facilitated by advancements in AI. The increasing need for multi-center and multi-modal medical images has further incentivized global collaboration, leading to the diverse research paths in SR medical imaging among prominent scientists.

Research Hotspots and Trends of Interventions for Sarcopenic Obesity: A Bibliometric Analysis.

Sarcopenic obesity, characterized by both obesity and sarcopenia, significantly impacts health and independence of affected individuals. There is an urgent need to explore effective strategies for addressing or preventing sarcopenic obesity. An initial critical step is to promptly assess the impact of academic research in this field, considering factors such as geographical regions, authors, journals, and institutions. It is also essential to analyze current trends and identify potential areas that may inspire future researchers to conduct further studies, ultimately improving public health outcomes for individuals with sarcopenic obesity. To achieve this, bibliometric research was conducted using the Web of Science Core Collection database to identify English language articles and reviews focusing on sarcopenic obesity interventions published between January 1, 2004, and June 15, 2024, followed by a literature review. A total of 929 English-language articles were collected, consisting of 645 research articles and 284 reviews. Research output in the field has shown significant growth since 2017, reaching a peak of 139 papers in 2022. The United States leads in publication output with 234 papers and a total of 13,971 citations, highlighting substantial international collaboration. Both the United States and Europe are recognized as key academic hubs for sarcopenic obesity intervention research, characterized by robust academic interactions. Moreover, there has been a notable increase in publication volume from China, South Korea, and Japan. Noteworthy authors in this field include Boirie Y from Université Clermont Auvergne in France, Prado CM from the University of Alberta in Canada, Cruz-Jentoft AJ from Hospital Universitario Ramon y Cajal in Spain, and Prado CM from the University of Alberta, known for their high citation count. The University of Alberta leads in the number of publications, while the University of Verona in Italy leads in citation frequency. Journals with higher publication volumes in sarcopenic obesity intervention include Nutrients, Clinical Nutrition, and Journal of Cachexia Sarcopenia and Muscle. Among the top 20 keywords, the most relevant interventions for sarcopenic obesity are exercise, nutrition, resistance training, physical activity, and muscle strength.The primary evidence currently available suggests that resistance training is the most effective method for enhancing muscle strength in sarcopenic obesity patients. Additionally, combining protein supplementation with resistance exercise has shown encouraging results in reducing fat mass in these individuals. To progress in this field, it is crucial to foster collaboration among countries, regions, and academic institutions, promoting multidisciplinary partnerships.

Global research trends on the links between NfL and neurological disorders: a bibliometric analysis and review

BackgroundThe global incidence of neurological diseases has been on the rise, creating an urgent need for a validated marker. Neurofilament Light Chain (NfL) holds promise as such a marker and has garnered significant attention in the field of neurological diseases over the past decades. MethodsCorresponding articles from 2013 to 2023 were collected from the Web of Science database, and data were analyzed by CiteSpace and VOSviewer software. ResultsA total of 1350 articles were collected from 296 countries/regions, involving 7246 research organizations. Since 2013, among the top ten institutions and authors with the highest number of published papers, the most are from the US and the UK. The United States leads in the number of published papers, but England holds a more momentous position, because it has higher IF. Henrik Zetterberg is the most influential scholar in the field. ConclusionsThe output of papers mainly relies on researchers from developed countries, and scholars from the United States and England have contributed the largest number of papers. Until now, the importance of NfL in neurological diseases has attracted global attention. In addition, NfL contributes to the potential diagnosis of various neurological disorders and can be used to improve the accuracy of differential diagnosis and prognostic assessment as well as predict the response to treatments. More and more in-depth studies are highly needed in the future.

A comprehensive bibliometric review and analysis on the evolution of nanotube-based hydrogen storage materials via DFT simulations

Abstract Hydrogen’s promise as a clean energy carrier is tempered by the challenges of efficient storage and safety concerns. While it offers an alternative to finite fossil fuel resources, current hydrogen storage methods, like cryo-compression and liquefaction, are often economically impractical. To tackle these issues, researchers are turning to nanotube materials (NTMs), crystalline substances with unique attributes ideal for hydrogen storage. Structural adaptability - NTMs can be precisely engineered for optimized hydrogen adsorption. These materials boast significant porosity, providing ample room for hydrogen molecules. NTMs offer a large surface area, enhancing their hydrogen adsorption capacity. NTMs employ weak van der Waals forces for hydrogen adsorption, enabling easy release via heat or pressure. Efforts are underway to enhance NTMs’ surface area and hydrogen uptake capabilities, along with a focus on mechanisms like the hydrogen spill-over for achieving high-density storage. NTMs go beyond storage; they can act as proton exchange membranes and fuel cell electrodes, making them versatile components in hydrogen-based energy systems. One strategy for improving NTM hydrogen storage involves introducing dopants or defects. Transition metals, due to their ability to attract and store hydrogen molecules in NTMs, are commonly explored. However, this addition may reduce the material’s gravimetric density, a critical practical consideration. In summary, research into NTMs and their potential for hydrogen storage via density functional theory is ongoing. This work explores strategies to enhance hydrogen storage, especially through transition metal doped NTMs. While these metals can improve hydrogen adsorption, the trade- offs in gravimetric density must be carefully weighed. Overall, this research contributes to the broader goal of harnessing hydrogen’s potential as a clean energy carrier, addressing the world’s growing energy needs.

From building energy modeling to urban building energy modeling: A review of recent research trend and simulation tools

Initiatives aimed at retrofitting the existing buildings stock and constructing Zero Carbon Community (ZCC) have been recognized as highly effective measures for reaching the zero emission carbon goals set by the EU Commission by 2050. The Building Energy Modeling approach focuses only on typical individual building and it is hardly suitable for assessing the performance and the mutual interaction of a group of interconnected buildings In this case the application of Urban Building Energy Modeling (UBEM) is required. Research on UBEM constitutes the foundation for reducing the energy needs of the built environment; however, there is currently a lack of knowledge on UBEM concept, workflow and related simulation tools. This paper has twofold objectives; first presents an in-depth bibliometric analysis, through CiteSpace, to analyze the developmental trajectory of emerging simulation UBEM method. The analysis encompasses the distribution of authors collaborations, geographic and institutional cooperation in publications and research hotspots. Based on this, the paper summarizes the development trends and potential directions for research in the UBEM field. Furthermore, as a second objective, the paper provides a comprehensive analysis of the main UBEM tools with focus on the input and output data, simulation engine and data workflow. The final scope of this study is to offer to urban planners and policymakers a comprehensive framework as a starting point for approaching zero-carbon communities’ from both the concepts and the simulations analysis point of view.

QUANTUM COMPUTING FOR MARKET RESEARCH

QUANTUM COMPUTING FOR MARKET RESEARCH

Influence and Progress of Tea Pigment Research: A Comprehensive Analysis of Application of Bibliometrics

Tea pigment, as a natural pigment component in tea, has attracted much attention because of its unique health benefits. In recent years, with the deepening of scientific research, the research on biological activity, extraction technology and application of tea pigment has made remarkable progress. Through systematic bibliometrics analysis, this paper comprehensively combs and evaluates the research status of tea pigment. The propose is to provide valuable reference for future research and application. In this paper, the chemical structure of tea pigment is firstly summarized, and then its diverse biological activities, such as antioxidant, anti-inflammatory and anti-tumor, are deeply discussed, especially its potential application in the treatment of cardiovascular diseases and diabetes. In addition, the application prospect of tea pigment in food coloring, textile dyeing and other industrial fields is also discussed in detail. Through the collection and arrangement of a large number of research literatures, this paper analyzes the development trend, research methods and main achievements of tea pigment research, and pays special attention to the dosage and effect of tea pigment in practical application. These analyses not only contribute to a more comprehensive understanding of the characteristics and functions of tea pigments, but also provide scientific basis for the further development and application of tea pigments.

Mitigating airborne infection risks in public transportation: A systematic review

Airborne infections pose significant challenges to public transportation systems which can result in significant decline in ridership levels and financial stress for operators. This systematic review presents a comprehensive overview of measures and strategies employed by ground public transportation agencies to protect passengers and staff while ensuring the uninterrupted operation. This study also conducted a bibliometric analysis to provide insights into key topics, publication patterns, and major contributors in the field of airborne transmission research in public transportation. We have included studies published from January 2003 to June 2024, which reported measures and recommendations for managing public transportation to reduce virus transmission. Of the 2,848 initially identified studies, 69 met our eligibility criteria. Our review identified four key strategies to prevent virus transmission in public transportation, including air quality improvement, cleaning, mask-wearing, and social distancing in vehicles and stations. While social distancing poses a significant challenge to public transportation, the integration of crowd management techniques and technology-driven information dissemination can provide effective strategies for managing capacity. The adoption of technology-driven solutions, such as efficient filtration systems, automated mask detection mechanisms, ultraviolet disinfection devices, and real-time passenger information, is required to implement these strategies effectively. Transportation agencies can utilize an airborne infection risk calculator during pandemics and beyond to assess and mitigate the risk of airborne transmission in various modes of transportation. Lessons from the Covid-19 pandemic underscored the need for developing advanced technologies to enhance passenger and staff safety in public transportation vehicles and stations.

Works on family business history, 1949-2023

The history of the family business is a well-established field of study within business history. However, there is a lack of bibliometric studies on this topic. This requires, first of all, identifying publications on the subject. This has been precisely the object of our research. To do this, a systematic search has been conducted in three data sources - Web of Science, Scopus, and Google Scholar -, using specific keywords to filter relevant publications, as well as applying inclusion and exclusion criteria to select appropriate works. The result has been the identification of 513 publications on the history of the family business between 1949 and 2023. 62% correspond to articles in academic journals, 23% to book chapters, and 15% to books. This compilation of works will serve as the basis for future bibliometric analyses on the history of the family business and a valuable resource for researchers interested in this field.

A commentary on "Mapping the landscape of immunonutrition and cancer research: a comprehensive bibliometric analysis on behalf of NutriOnc research group".

A commentary on "Mapping the landscape of immunonutrition and cancer research: a comprehensive bibliometric analysis on behalf of NutriOnc research group".

Systems dynamics research in management and organization studies: Overview and research agenda

This paper presents a bibliometric analysis of the systems dynamics (SD) research landscape, drawing on 2,091 documents from Scopus and Web of Science. This research employs bibliometric techniques to explore the evolution of the scientific community over the past 50 years and assess research productivity and impact. Through network analysis, the study further reveals the field's social and conceptual structures. This approach revealed four pivotal thematic clusters, which were discussed based on content analysis: (1) operations research and strategy formulation, (2) behavioral studies and collaborative approaches, (3) dynamic performance management, and (4) systems thinking for sustainable development. The findings reveal a diverse and interdisciplinary trajectory of SD research, reflecting its integration into a broad array of fields and its potential to inform both theoretical and practical applications. The paper concludes by providing targeted recommendations for future SD research, with a particular emphasis on enhancing management and organizational studies through the incorporation of SD methodologies. This includes the potential for SD to influence the design of adaptive strategies, the use of SD in participatory policymaking, and the application of SD tools in promoting organizational learning and sustainability.

Mitigating airborne infection risks in public transportation: A systematic review

Airborne infections pose significant challenges to public transportation systems which can result in significant decline in ridership levels and financial stress for operators. This systematic review presents a comprehensive overview of measures and strategies employed by ground public transportation agencies to protect passengers and staff while ensuring the uninterrupted operation. This study also conducted a bibliometric analysis to provide insights into key topics, publication patterns, and major contributors in the field of airborne transmission research in public transportation. We have included studies published from January 2003 to June 2024, which reported measures and recommendations for managing public transportation to reduce virus transmission. Of the 2,848 initially identified studies, 69 met our eligibility criteria. Our review identified four key strategies to prevent virus transmission in public transportation, including air quality improvement, cleaning, mask-wearing, and social distancing in vehicles and stations. While social distancing poses a significant challenge to public transportation, the integration of crowd management techniques and technology-driven information dissemination can provide effective strategies for managing capacity. The adoption of technology-driven solutions, such as efficient filtration systems, automated mask detection mechanisms, ultraviolet disinfection devices, and real-time passenger information, is required to implement these strategies effectively. Transportation agencies can utilize an airborne infection risk calculator during pandemics and beyond to assess and mitigate the risk of airborne transmission in various modes of transportation. Lessons from the Covid-19 pandemic underscored the need for developing advanced technologies to enhance passenger and staff safety in public transportation vehicles and stations.