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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:

Advancing Drug Discovery via Artificial Intelligence
H. C. Stephen Chan, Hanbin Shan, Thamani Dahoun, et al.
Trends in Pharmacological Sciences (2019) Vol. 40, Iss. 8, pp. 592-604
Closed Access | Times Cited: 476

Showing 26-50 of 476 citing articles:

Deep learning tools for advancing drug discovery and development
Sagorika Nag, Anurag T. K. Baidya, Abhimanyu Mandal, et al.
3 Biotech (2022) Vol. 12, Iss. 5
Open Access | Times Cited: 95
Artificial Intelligence in Pharmaceutical and Healthcare Research
Subrat Kumar Bhattamisra, Priyanka Banerjee, Pratibha Gupta, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 1, pp. 10-10
Open Access | Times Cited: 94
Recent progress on vascular endothelial growth factor receptor inhibitors with dual targeting capabilities for tumor therapy
Yun Liu, Yang Li, Yuxi Wang, et al.
Journal of Hematology & Oncology (2022) Vol. 15, Iss. 1
Open Access | Times Cited: 90
STAT3 pathway in cancers: Past, present, and future
Hanqi Wang, Qi‐Wen Man, Fang‐Yi Huo, et al.
MedComm (2022) Vol. 3, Iss. 2
Open Access | Times Cited: 89
Application of novel framework based on ensemble boosted regression trees and Gaussian process regression in modelling thermal performance of small-scale Organic Rankine Cycle (ORC) using hybrid nanofluid
Zafar Said, Prabhakar Sharma, Arun Kumar Tiwari, et al.
Journal of Cleaner Production (2022) Vol. 360, pp. 132194-132194
Closed Access | Times Cited: 80
3D cell cultures toward quantitative high-throughput drug screening
Yichun Wang, Hyunsu Jeon
Trends in Pharmacological Sciences (2022) Vol. 43, Iss. 7, pp. 569-581
Open Access | Times Cited: 70
Guidelines for Artificial Intelligence in Medicine: Literature Review and Content Analysis of Frameworks
Norah L. Crossnohere, Mohamed I. Elsaid, Jonathan Paskett, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 8, pp. e36823-e36823
Open Access | Times Cited: 70
Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective
Muhammad Sufyan, Zeeshan Shokat, Usman Ali Ashfaq
Computers in Biology and Medicine (2023) Vol. 165, pp. 107356-107356
Closed Access | Times Cited: 56
Virtual Screening Algorithms in Drug Discovery: A Review Focused on Machine and Deep Learning Methods
Tiago Alves de Oliveira, Michel Pires da Silva, Eduardo Habib Bechelane Maia, et al.
Drugs and Drug Candidates (2023) Vol. 2, Iss. 2, pp. 311-334
Open Access | Times Cited: 53
AI-enabled organoids: Construction, analysis, and application
Long Bai, Yan Wu, Guangfeng Li, et al.
Bioactive Materials (2023) Vol. 31, pp. 525-548
Open Access | Times Cited: 51
Organ-on-a-chip meets artificial intelligence in drug evaluation
Shiwen Deng, Caifeng Li, Junxian Cao, et al.
Theranostics (2023) Vol. 13, Iss. 13, pp. 4526-4558
Open Access | Times Cited: 44
The Coming of Age of AI/ML in Drug Discovery, Development, Clinical Testing, and Manufacturing: The FDA Perspectives
Sarfaraz K. Niazi
Drug Design Development and Therapy (2023) Vol. Volume 17, pp. 2691-2725
Open Access | Times Cited: 40
Simulation-based approaches for drug delivery systems: Navigating advancements, opportunities, and challenges
Iman Salahshoori, Mahdi Golriz, Marcos A.L. Nobre, et al.
Journal of Molecular Liquids (2023) Vol. 395, pp. 123888-123888
Open Access | Times Cited: 40
Artificial intelligence: Machine learning approach for screening large database and drug discovery
Prachi Parvatikar, Sudha Patil, Kedar Khaparkhuntikar, et al.
Antiviral Research (2023) Vol. 220, pp. 105740-105740
Closed Access | Times Cited: 36
Applications of machine learning in antibody discovery, process development, manufacturing and formulation: Current trends, challenges, and opportunities
Thanh Tung Khuat, Robert Bassett, Ellen Otte, et al.
Computers & Chemical Engineering (2024) Vol. 182, pp. 108585-108585
Open Access | Times Cited: 19
Revolutionizing Drug Discovery: A Comprehensive Review of AI Applications
Rushikesh Dhudum, Ankit Ganeshpurkar, Atmaram Pawar
Drugs and Drug Candidates (2024) Vol. 3, Iss. 1, pp. 148-171
Open Access | Times Cited: 18
admetSAR3.0: a comprehensive platform for exploration, prediction and optimization of chemical ADMET properties
Yaxin Gu, Zhuohang Yu, Yimeng Wang, et al.
Nucleic Acids Research (2024) Vol. 52, Iss. W1, pp. W432-W438
Open Access | Times Cited: 15
Machine Learning Empowering Drug Discovery: Applications, Opportunities and Challenges
Xin Qi, Yuanchun Zhao, Zhuang Qi, et al.
Molecules (2024) Vol. 29, Iss. 4, pp. 903-903
Open Access | Times Cited: 11
Advanced machine-learning techniques in drug discovery
Moe Elbadawi, Simon Gaisford, Abdul W. Basit
Drug Discovery Today (2020) Vol. 26, Iss. 3, pp. 769-777
Open Access | Times Cited: 130
Evolving scenario of big data and Artificial Intelligence (AI) in drug discovery
Manish Tripathi, Abhigyan Nath, T.P. Singh, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1439-1460
Open Access | Times Cited: 90
Allosteric drugs and mutations: chances, challenges, and necessity
Enrico Guarnera, Igor N. Berezovsky
Current Opinion in Structural Biology (2020) Vol. 62, pp. 149-157
Closed Access | Times Cited: 87
The role of artificial intelligence in business transformation: A case of pharmaceutical companies
Ignat Kulkov
Technology in Society (2021) Vol. 66, pp. 101629-101629
Open Access | Times Cited: 87
Artificial intelligence and machine learning assisted drug delivery for effective treatment of infectious diseases
Sheng He, Leon G. Leanse, Yanfang Feng
Advanced Drug Delivery Reviews (2021) Vol. 178, pp. 113922-113922
Closed Access | Times Cited: 72
De novo design of novel protease inhibitor candidates in the treatment of SARS-CoV-2 using deep learning, docking, and molecular dynamic simulations
Amir Hossein Arshia, Shayan Shadravan, Aida Solhjoo, et al.
Computers in Biology and Medicine (2021) Vol. 139, pp. 104967-104967
Open Access | Times Cited: 69
Drug Design—Past, Present, Future
Irini Doytchinova
Molecules (2022) Vol. 27, Iss. 5, pp. 1496-1496
Open Access | Times Cited: 59

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