
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Application of Artificial Intelligence in COVID-19 drug repurposing
Sweta Mohanty, Md Harun AI Rashid, Mayank Mridul, et al.
Diabetes & Metabolic Syndrome Clinical Research & Reviews (2020) Vol. 14, Iss. 5, pp. 1027-1031
Open Access | Times Cited: 180
Sweta Mohanty, Md Harun AI Rashid, Mayank Mridul, et al.
Diabetes & Metabolic Syndrome Clinical Research & Reviews (2020) Vol. 14, Iss. 5, pp. 1027-1031
Open Access | Times Cited: 180
Showing 1-25 of 180 citing articles:
Machine Learning Methods in Drug Discovery
Lauv Patel, Tripti Shukla, Xiuzhen Huang, et al.
Molecules (2020) Vol. 25, Iss. 22, pp. 5277-5277
Open Access | Times Cited: 309
Lauv Patel, Tripti Shukla, Xiuzhen Huang, et al.
Molecules (2020) Vol. 25, Iss. 22, pp. 5277-5277
Open Access | Times Cited: 309
Advances in De Novo Drug Design: From Conventional to Machine Learning Methods
Varnavas D. Mouchlis, Antreas Afantitis, Angela Serra, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 4, pp. 1676-1676
Open Access | Times Cited: 234
Varnavas D. Mouchlis, Antreas Afantitis, Angela Serra, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 4, pp. 1676-1676
Open Access | Times Cited: 234
Applications of artificial intelligence in battling against covid-19: A literature review
Mohammad-H. Tayarani N.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110338-110338
Open Access | Times Cited: 194
Mohammad-H. Tayarani N.
Chaos Solitons & Fractals (2020) Vol. 142, pp. 110338-110338
Open Access | Times Cited: 194
Integrating Digital Technologies and Public Health to Fight Covid-19 Pandemic: Key Technologies, Applications, Challenges and Outlook of Digital Healthcare
Qiang Wang, Min Su, Min Zhang, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 6053-6053
Open Access | Times Cited: 178
Qiang Wang, Min Su, Min Zhang, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 11, pp. 6053-6053
Open Access | Times Cited: 178
Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
Muzammil Khan, Muhammad Taqi Mehran, Zeeshan Haq, et al.
Expert Systems with Applications (2021) Vol. 185, pp. 115695-115695
Open Access | Times Cited: 163
Muzammil Khan, Muhammad Taqi Mehran, Zeeshan Haq, et al.
Expert Systems with Applications (2021) Vol. 185, pp. 115695-115695
Open Access | Times Cited: 163
Application of Artificial Intelligence in Medicine: An Overview
Pengran Liu, Lin Lu, Jiayao Zhang, et al.
Current Medical Science (2021) Vol. 41, Iss. 6, pp. 1105-1115
Open Access | Times Cited: 159
Pengran Liu, Lin Lu, Jiayao Zhang, et al.
Current Medical Science (2021) Vol. 41, Iss. 6, pp. 1105-1115
Open Access | Times Cited: 159
Robotics and artificial intelligence in healthcare during COVID-19 pandemic: A systematic review
Sujan Sarker, Lafifa Jamal, Syeda Faiza Ahmed, et al.
Robotics and Autonomous Systems (2021) Vol. 146, pp. 103902-103902
Open Access | Times Cited: 152
Sujan Sarker, Lafifa Jamal, Syeda Faiza Ahmed, et al.
Robotics and Autonomous Systems (2021) Vol. 146, pp. 103902-103902
Open Access | Times Cited: 152
Covid-19 and the digital revolution
Linda Hantrais, Paul Allin, Mihalis Kritikos, et al.
Contemporary Social Science (2020) Vol. 16, Iss. 2, pp. 256-270
Open Access | Times Cited: 145
Linda Hantrais, Paul Allin, Mihalis Kritikos, et al.
Contemporary Social Science (2020) Vol. 16, Iss. 2, pp. 256-270
Open Access | Times Cited: 145
Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review
Hafsa Bareen Syeda, Mahanazuddin Syed, Kevin W. Sexton, et al.
JMIR Medical Informatics (2020) Vol. 9, Iss. 1, pp. e23811-e23811
Open Access | Times Cited: 137
Hafsa Bareen Syeda, Mahanazuddin Syed, Kevin W. Sexton, et al.
JMIR Medical Informatics (2020) Vol. 9, Iss. 1, pp. e23811-e23811
Open Access | Times Cited: 137
Machine and Deep Learning towards COVID-19 Diagnosis and Treatment: Survey, Challenges, and Future Directions
Tarik Alafif, Abdul Muneeim Tehame, Saleh Bajaba, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 3, pp. 1117-1117
Open Access | Times Cited: 125
Tarik Alafif, Abdul Muneeim Tehame, Saleh Bajaba, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 3, pp. 1117-1117
Open Access | Times Cited: 125
Artificial intelligence, machine learning, and drug repurposing in cancer
Ziaurrehman Tanoli, Markus Vähä‐Koskela, Tero Aittokallio
Expert Opinion on Drug Discovery (2021) Vol. 16, Iss. 9, pp. 977-989
Open Access | Times Cited: 115
Ziaurrehman Tanoli, Markus Vähä‐Koskela, Tero Aittokallio
Expert Opinion on Drug Discovery (2021) Vol. 16, Iss. 9, pp. 977-989
Open Access | Times Cited: 115
Clinical Applications of Artificial Intelligence—An Updated Overview
Ștefan Busnatu, Adelina-Gabriela Niculescu, Alexandra Bolocan, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 8, pp. 2265-2265
Open Access | Times Cited: 98
Ștefan Busnatu, Adelina-Gabriela Niculescu, Alexandra Bolocan, et al.
Journal of Clinical Medicine (2022) Vol. 11, Iss. 8, pp. 2265-2265
Open Access | Times Cited: 98
Digital technologies, healthcare and Covid-19: insights from developing and emerging nations
Mukesh Chandra, Kunal Kumar, Prabhat Thakur, et al.
Health and Technology (2022) Vol. 12, Iss. 2, pp. 547-568
Open Access | Times Cited: 82
Mukesh Chandra, Kunal Kumar, Prabhat Thakur, et al.
Health and Technology (2022) Vol. 12, Iss. 2, pp. 547-568
Open Access | Times Cited: 82
Artificial intelligence in health care
A. Chu, Liza Rachel Mathews, Kun‐Hsing Yu
Elsevier eBooks (2023), pp. 3-17
Closed Access | Times Cited: 76
A. Chu, Liza Rachel Mathews, Kun‐Hsing Yu
Elsevier eBooks (2023), pp. 3-17
Closed Access | Times Cited: 76
Exploring the Intersection of Artificial Intelligence and Clinical Healthcare: A Multidisciplinary Review
Celina Silvia Stafie, Irina-Georgeta Șufaru, Cristina Mihaela Ghiciuc, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 1995-1995
Open Access | Times Cited: 48
Celina Silvia Stafie, Irina-Georgeta Șufaru, Cristina Mihaela Ghiciuc, et al.
Diagnostics (2023) Vol. 13, Iss. 12, pp. 1995-1995
Open Access | Times Cited: 48
Shaping the future of AI in healthcare through ethics and governance
Rabaï Bouderhem
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 22
Rabaï Bouderhem
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 22
A Systematic Review on the Use of AI and ML for Fighting the COVID-19 Pandemic
Muhammad Nazrul Islam, Toki Tahmid Inan, S. Rafi, et al.
IEEE Transactions on Artificial Intelligence (2020) Vol. 1, Iss. 3, pp. 258-270
Open Access | Times Cited: 80
Muhammad Nazrul Islam, Toki Tahmid Inan, S. Rafi, et al.
IEEE Transactions on Artificial Intelligence (2020) Vol. 1, Iss. 3, pp. 258-270
Open Access | Times Cited: 80
Artificial Intelligence in Surveillance, Diagnosis, Drug Discovery and Vaccine Development against COVID-19
Gunjan Arora, Jayadev Joshi, Rahul Shubhra Mandal, et al.
Pathogens (2021) Vol. 10, Iss. 8, pp. 1048-1048
Open Access | Times Cited: 73
Gunjan Arora, Jayadev Joshi, Rahul Shubhra Mandal, et al.
Pathogens (2021) Vol. 10, Iss. 8, pp. 1048-1048
Open Access | Times Cited: 73
Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: A comprehensive review and outlook
Omar M. Abdeldayem, Areeg M. Dabbish, Mahmoud M. Habashy, et al.
The Science of The Total Environment (2021) Vol. 803, pp. 149834-149834
Open Access | Times Cited: 67
Omar M. Abdeldayem, Areeg M. Dabbish, Mahmoud M. Habashy, et al.
The Science of The Total Environment (2021) Vol. 803, pp. 149834-149834
Open Access | Times Cited: 67
Application of Machine Learning in Translational Medicine: Current Status and Future Opportunities
Nadia Terranova, Karthik Venkatakrishnan, Lisa J. Benincosa
The AAPS Journal (2021) Vol. 23, Iss. 4
Open Access | Times Cited: 56
Nadia Terranova, Karthik Venkatakrishnan, Lisa J. Benincosa
The AAPS Journal (2021) Vol. 23, Iss. 4
Open Access | Times Cited: 56
Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic
Nora El-Rashidy, Samir Abdelrazik, Tamer Abuhmed, et al.
Diagnostics (2021) Vol. 11, Iss. 7, pp. 1155-1155
Open Access | Times Cited: 56
Nora El-Rashidy, Samir Abdelrazik, Tamer Abuhmed, et al.
Diagnostics (2021) Vol. 11, Iss. 7, pp. 1155-1155
Open Access | Times Cited: 56
COVID-19 Diagnosis: A Review of Rapid Antigen, RT-PCR and Artificial Intelligence Methods
Raphael Taiwo Aruleba, Tayo Alex Adekiya, Nimibofa Ayawei, et al.
Bioengineering (2022) Vol. 9, Iss. 4, pp. 153-153
Open Access | Times Cited: 40
Raphael Taiwo Aruleba, Tayo Alex Adekiya, Nimibofa Ayawei, et al.
Bioengineering (2022) Vol. 9, Iss. 4, pp. 153-153
Open Access | Times Cited: 40
Navigating with chemometrics and machine learning in chemistry
Payal B. Joshi
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 9089-9114
Open Access | Times Cited: 22
Payal B. Joshi
Artificial Intelligence Review (2023) Vol. 56, Iss. 9, pp. 9089-9114
Open Access | Times Cited: 22
Innovative applications of artificial intelligence during the COVID-19 pandemic
Chenrui Lv, Wenqiang Guo, Xinyi Yin, et al.
Infectious Medicine (2024) Vol. 3, Iss. 1, pp. 100095-100095
Open Access | Times Cited: 12
Chenrui Lv, Wenqiang Guo, Xinyi Yin, et al.
Infectious Medicine (2024) Vol. 3, Iss. 1, pp. 100095-100095
Open Access | Times Cited: 12
AI-Driven Innovations in Alzheimer's Disease: Integrating Early Diagnosis, Personalized Treatment, and Prognostic Modelling
Mayur B. Kale, Nitu L. Wankhede, Rupali S. Pawar, et al.
Ageing Research Reviews (2024), pp. 102497-102497
Closed Access | Times Cited: 11
Mayur B. Kale, Nitu L. Wankhede, Rupali S. Pawar, et al.
Ageing Research Reviews (2024), pp. 102497-102497
Closed Access | Times Cited: 11