TY - GEN
T1 - A Bibliometric Analysis of Leveraging Artificial Intelligence Technology for Global Pandemics
AU - Lin, Lianghong
AU - Weng, Heng
AU - Yan, Enliang
AU - Zhan, Choujun
AU - Wang, Fu Lee
AU - Hao, Tianyong
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - Utilizing artificial intelligence technology in global pandemic, especially COVID-19 epidemic after 2020, has produced a wealth of studies. To investigate the role and impact of artificial intelligence in global pandemics, 4,708 relevant publications are retrieved from PubMed and subjected to a bibliometric analysis. To be specific, the analysis encompasses the number of articles, prolific journals, institutions, countries/regions, authors and their collaborative relations, as well as research hotspots. More importantly, the findings of this study, in addition to enriching the current literature review associated with the application of artificial intelligence in global pandemics, attempt to provide valuable lessons for the future face of pandemics.
AB - Utilizing artificial intelligence technology in global pandemic, especially COVID-19 epidemic after 2020, has produced a wealth of studies. To investigate the role and impact of artificial intelligence in global pandemics, 4,708 relevant publications are retrieved from PubMed and subjected to a bibliometric analysis. To be specific, the analysis encompasses the number of articles, prolific journals, institutions, countries/regions, authors and their collaborative relations, as well as research hotspots. More importantly, the findings of this study, in addition to enriching the current literature review associated with the application of artificial intelligence in global pandemics, attempt to provide valuable lessons for the future face of pandemics.
KW - Artificial intelligence
KW - Bibliometric analysis
KW - Global Pandemic
KW - Latent Dirichlet Allocation
KW - Research topic
UR - https://www.scopus.com/pages/publications/85215521775
U2 - 10.1109/BESC64747.2024.10780715
DO - 10.1109/BESC64747.2024.10780715
M3 - Conference contribution
AN - SCOPUS:85215521775
T3 - Proceedings of the 2024 11th IEEE International Conference on Behavioural and Social Computing, BESC 2024
BT - Proceedings of the 2024 11th IEEE International Conference on Behavioural and Social Computing, BESC 2024
T2 - 11th IEEE International Conference on Behavioural and Social Computing, BESC 2024
Y2 - 16 August 2024 through 18 August 2024
ER -