A Bibliometric Analysis of Research into Hygiene and Artificial Intelligence in the Web of Science (1996–2024)
Keywords:
Bibliometric analysis, Web of Science, hygiene, artificial intelligence, machine learning, public health, interdisciplinary researchAbstract
This study presents a bibliometric analysis of academic publications addressing the concepts of "hygiene" and "artificial intelligence" in the Web of Science database between 1996 and 2024. The study examined the distribution of publications by year, publication types, author productivity, journal and institutional contributions, publication distribution by country, collaboration networks, and keyword relationships. The findings indicate a significant increase in the number of publications, particularly after 2019, and that this increases accelerated AI-based hygiene and public health research in relation to the COVID-19 pandemic. The analysis revealed that the studies were mostly concentrated on disciplines such as medicine, public health, computer science, and engineering, and were also published in high-impact journals such as Frontiers in Public Health, IEEE Access, and the Journal of Medical Internet Research. The most productive authors were Song T.J., Park J.H., and Huang Z. with the most contributions by country coming from the United States, the United Kingdom, China, and South Korea, respectively. According to the keyword analysis, the concepts of "artificial intelligence," "machine learning," "deep learning," and "oral hygiene" emerged prominently. Overall, the findings reveal that scientific production in the fields of hygiene and artificial intelligence is becoming increasingly interdisciplinary, application-oriented, and globally widespread.
References
Abd-Alrazaq, A., Alajlani, M., Alhuwail, D., Schneider, J., Al-Kuwari, S., Shah, Z., Hamdi, M. & Househ, M. (2020). Artificial Intelligence in the Fight Against COVID-19: Scoping Review Journal of Medical Internet Research. 22(12):e20756 URL https://www.jmir.org/2020/12/e20756
Cabitza, F., Campagner, A. & Balsano, C. (2020). Bridging the “last mile” gap between AI implementation and operation: “data awareness” that matters. Annals of Translational Medicine .8(7):501-501. https://doi.org/10.21037/atm. 2020.03.63
Çobanoğlu A.(2025). Bibliometric Analysis of Oral Health and Oral Care in Nursing by Visual Mapping Method (1981-2023). Mediterranean Nursing and Midwifery. 5(2):123-133. http://doi.org/10.4274/MNM.2024.24269
De Bellis, N. (2009). Bibliometrics and citation analysis: from the science citation index to cybermetrics. Scarecrow Press.
Fitzpatrick, F., Doherty, A. & Lacey, G. (2020). Using Artificial Intelligence in Infection Prevention. Curr Treat Options Infect Dis 12, 135–144. https://doi.org/10.1007/s40506-020-00216-7
Hammad, T.A., Abdel-Wahab, M.F., DeClaris, N., El-Sahly, A., El-Kady, N., Strickland, G.T. (1996). Comparative evaluation of the use of artificial neural networks for modelling the epidemiology of schistosomiasis mansoni, Transactions of The Royal Society of Tropical Medicine and Hygiene, 90 (4): 372–376, https://doi.org/10.1016/S0035-9203(96)90509-X
Haque, A., Milstein, A. & Fei-Fei, L. (2020). Illuminating the dark spaces of healthcare with ambient intelligence. Nature 585, 193–202. https://doi.org/10.1038/s41586-020-2669-y
Huang, Z., Zhang, J., Pan, M., Hao, Y., Hu, R., Xiao, W., Li, G. & Lyu, T., (2022). Valorisation of microalgae residues after lipid extraction: pyrolysis characteristics for biofuel production. Biochemical Engineering Journal. 179, 108330. https://doi.org/10.1016/J. BEJ.2021.108330
Jiang, Y. & Wen, J. (2020). "Effects of COVID-19 on hotel marketing and management: a perspective article". International Journal of Contemporary Hospitality Management, Vol. 32 No. 8 pp. 2563–2573, doi: https://doi.org/10.1108/IJCHM-03-2020-0237
Kaswan, M.S., Rathi, R., Antony, J., Cross, J., Garza-Reyes, J.A., Singh, M., Preet Singh, I., & Sony, M.(2024), "Integrated Green Lean Six Sigma-Industry 4.0 approach to combat COVID-19: from literature review to framework development". International Journal of Lean Six Sigma, Vol. 15 No. 1 pp. 50–79, doi: https://doi.org/10.1108/IJLSS-11-2022-0227
Li, G., Hu, R., Wang, N., Yang, T., Xu, F., Li, J., Wu, J., Huang, Z., Pan, M. & Lyu, T., 2022. Cultivation of microalgae in adjusted wastewater to enhance biofuel production and reduce environmental impact: pyrolysis performances and life cycle assessment. J. Clean. Prod. 355, 131768. https://doi.org/10.1016/j.jclepro.2022.131768
Manigandan, S., Wu, M.T., Ponnusamy, V.K., Raghavendra, V.B., Pugazhendhi, A. & Brindhadevi, K. (2020). A systematic review on recent trends in transmission, diagnosis, prevention and imaging features of COVID-19. Process Biochemistry. 98, 233–240. https://doi.org/10.1016/j.procbio.2020.08.016
Nathavitharana RR, Garcia-Basteiro AL, Ruhwald M, Cobelens F, Theron G. (2022). Reimagining the status quo: how close are we to rapid sputum-free tuberculosis diagnostics for all? EBioMedicine. 78: 103939. https://doi.org/10.1016/j.ebiom.2022.103939
Olawade, D. B., Wada, O. Z., Ige, A. O., Egbewole, B. I., Olojo, A., & Oladapo, B. I. (2024). Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions. Hygiene and Environmental Health Advances, 12, Article 100114. https://doi.org/10.1016/j.heha.2024.100114
Pillai, S.G., Haldorai, K., Seo, W.S. & Kim, W.G. (2021). COVID-19 and hospitality 5.0: Redefining hospitality operations. International Journal of Hospitality Management. 94:102869. https://doi.org/10.1016/j.ijhm.2021.102869
Pritchard, A. (1969). Statistical bibliography or bibliometrics. Journal of Documentation, 25(4), 348-349.
Shuja, J., Alanazi, E., Alasmary, W. & Alashaikh, A. (2021). COVID-19 open source data sets: a comprehensive survey. Applied Intelligence 51, 1296–1325. https://doi.org/10.1007/s10489-020-01862-6
Thurzo, A., Veronika, K., & Ivan, V. (2021). "Artificial Intelligence in Orthodontic Smart Application for Treatment Coaching and Its Impact on Clinical Performance of Patients Monitored with AI-TeleHealth System" Healthcare 9, no. 12: 1695. https://doi.org/10.3390/healthcare9121695
Valk, S.L., Xu, T., Paquola, C. et al. (2022). Genetic and phylogenetic uncoupling of structure and function in human transmodal cortex. Nature Communication 13, 2341. https://doi.org/10.1038/s41467-022-29886-1
Vassilopoulou, J., Kyriakidou, O., Ozbilgin, M. F., & Groutsis, D. (2024). Scientism as illusio in HR algorithms: Towards a framework for algorithmic hygiene for bias proofing. Human Resource Management Journal, 34(2), 311–325. https://doi.org/ 10.1111/1748-8583.12430
Vinothkanna, A., Dar, O. I., Liu, Z., & Jia, A.-Q. (2024). Advanced detection tools in food fraud: A systematic review for holistic and rational detection method based on research and patents. Food Chemistry, 446, Article 138893. https://doi.org/10.1016/ j.foodchem.2024.138893
Wang, H., Li, S., Zhu, Z.M., Yin, X.Z., Wang, L.X., Weng, Y.X. & Wang, X.Y. (2021) A novel DOPO-based flame retardant containing benzimidazolone structure with high charring ability towards low flammability and smoke epoxy resins. Polymer Degradation Stability. 183:109426. https://doi.org/10.1016/j.polymdegradstab. 2020.109426
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Hamdi Aydın, Arzu Morkoyunlu
This work is licensed under a Creative Commons Attribution 4.0 International License.
