OpenAlex Citation Counts

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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:

Artificial intelligence in drug discovery: recent advances and future perspectives
José Jiménez-Luna, Francesca Grisoni, Nils Weskamp, et al.
Expert Opinion on Drug Discovery (2021) Vol. 16, Iss. 9, pp. 949-959
Open Access | Times Cited: 274

Showing 1-25 of 274 citing articles:

A critical overview of computational approaches employed for COVID-19 drug discovery
Eugene Muratov, Rommie E. Amaro, Carolina Horta Andrade, et al.
Chemical Society Reviews (2021) Vol. 50, Iss. 16, pp. 9121-9151
Open Access | Times Cited: 169

Artificial intelligence in the prediction of protein–ligand interactions: recent advances and future directions
Ashwin Dhakal, Cole McKay, John J. Tanner, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 143

Intelligent Computing: The Latest Advances, Challenges, and Future
Shiqiang Zhu, Ting Yu, Tao Xu, et al.
Intelligent Computing (2023) Vol. 2
Open Access | Times Cited: 104

Artificial intelligence in drug discovery: applications and techniques
Jianyuan Deng, Zhibo Yang, Iwao Ojima, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 98

The Role of AI in Hospitals and Clinics: Transforming Healthcare in the 21st Century
Shiva Maleki Varnosfaderani, Mohamad Forouzanfar
Bioengineering (2024) Vol. 11, Iss. 4, pp. 337-337
Open Access | Times Cited: 95

Smart Health
Yin Yang, Keng Siau, Wen Xie, et al.
Journal of Organizational and End User Computing (2022) Vol. 34, Iss. 1, pp. 1-14
Open Access | Times Cited: 78

Machine learning for synergistic network pharmacology: a comprehensive overview
Fatima Noor, Muhammad Asif, Usman Ali Ashfaq, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 72

Scoring Functions for Protein-Ligand Binding Affinity Prediction Using Structure-based Deep Learning: A Review
Rocco Meli, Garrett M. Morris, Philip C. Biggin
Frontiers in Bioinformatics (2022) Vol. 2
Open Access | Times Cited: 70

Artificial Intelligence in Regenerative Medicine: Applications and Implications
Hamed Nosrati, Masoud Nosrati
Biomimetics (2023) Vol. 8, Iss. 5, pp. 442-442
Open Access | Times Cited: 50

Recent Advances in Machine-Learning-Based Chemoinformatics: A Comprehensive Review
Sarfaraz K. Niazi, Zamara Mariam
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 14, pp. 11488-11488
Open Access | Times Cited: 39

Drug design on quantum computers
Raffaele Santagati, Alán Aspuru‐Guzik, Ryan Babbush, et al.
Nature Physics (2024) Vol. 20, Iss. 4, pp. 549-557
Closed Access | Times Cited: 29

Antimicrobial resistance crisis: could artificial intelligence be the solution?
Guangyu Liu, Dan Yu, Mei-Mei Fan, et al.
Military Medical Research (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 27

Advances in artificial intelligence for drug delivery and development: A comprehensive review
Amol D. Gholap, Md Jasim Uddin, Md. Faiyazuddin, et al.
Computers in Biology and Medicine (2024) Vol. 178, pp. 108702-108702
Closed Access | Times Cited: 17

Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review
Enyu Zhou, Qin Shen, Yang Hou
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 12

Drug Design—Past, Present, Future
Irini Doytchinova
Molecules (2022) Vol. 27, Iss. 5, pp. 1496-1496
Open Access | Times Cited: 59

De Novo Drug Design Using Reinforcement Learning with Graph-Based Deep Generative Models
Sara Romeo Atance, Juan Viguera Diez, Ola Engkvist, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 20, pp. 4863-4872
Closed Access | Times Cited: 57

Improving de novo molecular design with curriculum learning
Jeff Guo, Vendy Fialková, Juan Diego Arango, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 6, pp. 555-563
Open Access | Times Cited: 36

Structure‐Based Drug Discovery with Deep Learning**
Rıza Özçelik, Derek van Tilborg, José Jiménez-Luna, et al.
ChemBioChem (2023) Vol. 24, Iss. 13
Open Access | Times Cited: 33

Artificial intelligence revolutionizing drug development: Exploring opportunities and challenges
Prafulla Tiwari, Rishi Pal, Manju J. Chaudhary, et al.
Drug Development Research (2023) Vol. 84, Iss. 8, pp. 1652-1663
Closed Access | Times Cited: 32

Advances in Artificial Intelligence (AI)-assisted approaches in drug screening
Samvedna Singh, Himanshi Gupta, Priyanshu Sharma, et al.
Artificial Intelligence Chemistry (2023) Vol. 2, Iss. 1, pp. 100039-100039
Open Access | Times Cited: 26

Neural multi-task learning in drug design
Stephan Allenspach, Jan A. Hiss, Gisbert Schneider
Nature Machine Intelligence (2024) Vol. 6, Iss. 2, pp. 124-137
Closed Access | Times Cited: 9

Integrating Artificial Intelligence in Pediatric Healthcare: Parental Perceptions and Ethical Implications
Camelia Elena Berghea, Marcela Daniela Ionescu, Radu Marian Gheorghiu, et al.
Children (2024) Vol. 11, Iss. 2, pp. 240-240
Open Access | Times Cited: 7

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