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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:

A comprehensive review on recent approaches for cancer drug discovery associated with artificial intelligence
Sanjeevi Pandiyan, Li Wang
Computers in Biology and Medicine (2022) Vol. 150, pp. 106140-106140
Closed Access | Times Cited: 25

Showing 25 citing articles:

Advances of Artificial Intelligence in Anti-Cancer Drug Design: A Review of the Past Decade
Liuying Wang, Yongzhen Song, Hesong Wang, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 2, pp. 253-253
Open Access | Times Cited: 52
A comprehensive evaluation of large Language models on benchmark biomedical text processing tasks
Israt Jahan, Md Tahmid Rahman Laskar, Chun Peng, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108189-108189
Open Access | Times Cited: 30
Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey
Roohallah Alizadehsani, Solomon Sunday Oyelere, Sadiq Hussain, et al.
IEEE Access (2024) Vol. 12, pp. 35796-35812
Open Access | Times Cited: 23
Breast tumor localization and segmentation using machine learning techniques: Overview of datasets, findings, and methods
Ramin Ranjbarzadeh, Shadi Dorosti, Saeid Jafarzadeh Ghoushchi, et al.
Computers in Biology and Medicine (2022) Vol. 152, pp. 106443-106443
Open Access | Times Cited: 59
Must-have Qualities of Clinical Research on Artificial Intelligence and Machine Learning
Burak Koçak, Renato Cuocolo, Daniel Santos, et al.
Balkan Medical Journal (2022) Vol. 40, Iss. 1, pp. 3-12
Open Access | Times Cited: 44
Exploring the role of artificial intelligence in chemotherapy development, cancer diagnosis, and treatment: present achievements and future outlook
Bassam Abdul Rasool Hassan, Ali Haider Mohammed, Souheil Hallit, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access | Times Cited: 1
New Drug Discovery
Bancha Yingngam
Advances in medical diagnosis, treatment, and care (AMDTC) book series (2023), pp. 134-184
Closed Access | Times Cited: 19
Discovery of novel SOS1 inhibitors using machine learning
Lihui Duo, Yi Chen, Qiupei Liu, et al.
RSC Medicinal Chemistry (2024) Vol. 15, Iss. 4, pp. 1392-1403
Open Access | Times Cited: 4
Artificial intelligence for small molecule anticancer drug discovery
Lihui Duo, Yu Liu, Jianfeng Ren, et al.
Expert Opinion on Drug Discovery (2024) Vol. 19, Iss. 8, pp. 933-948
Closed Access | Times Cited: 4
The role of artificial intelligence in drug screening, drug design, and clinical trials
Yaojiong Wu, Li Ma, Xinyi Li, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 4
Recent Advancement in Bioinformatics
Yogesh Kumar Sharma, Leena Arya, Smitha, et al.
(2025), pp. 227-246
Closed Access
Modeling 3D structures of PIK3CA and PIK3R1 genes based on homology modeling, molecular docking, molecular dynamics and MM-GBSA study against breast cancer: Insights from an in-silico approach
Sanjeevi Pandiyan, Tao Ruan, Zhuheng Zhong, et al.
Journal of Molecular Structure (2025), pp. 141580-141580
Closed Access
PayloadGenX, a multi-stage hybrid virtual screening approach for payload design: A microtubule inhibitor case study
Faheem Ahmed, Anupama Samantasinghar, Naina Sunildutt, et al.
Computational Biology and Chemistry (2025), pp. 108439-108439
Closed Access
Application of machine learning on understanding biomolecule interactions in cellular machinery
Rewati Dixit, Khushal Khambhati, Kolli Venkata Supraja, et al.
Bioresource Technology (2022) Vol. 370, pp. 128522-128522
Closed Access | Times Cited: 16
Applications of Deep Learning for Drug Discovery Systems with BigData
Yasunari Matsuzaka, Ryu Yashiro
BioMedInformatics (2022) Vol. 2, Iss. 4, pp. 603-624
Open Access | Times Cited: 11
Machine learning‐assisted search for novel coagulants: When machine learning can be efficient even if data availability is low
Andrij Rovenchak, Maksym Druchok
Journal of Computational Chemistry (2024) Vol. 45, Iss. 13, pp. 937-952
Open Access | Times Cited: 2
In-silico design of novel potential HDAC inhibitors from indazole derivatives targeting breast cancer through QSAR, molecular docking and pharmacokinetics studies
S. Sundara Pandiyan, Li Wang
Computational Biology and Chemistry (2024) Vol. 110, pp. 108035-108035
Closed Access | Times Cited: 2
Cancer drug response prediction with surrogate modeling-based graph neural architecture search
Babatounde Moctard Oloulade, Jianliang Gao, Jiamin Chen, et al.
Bioinformatics (2023) Vol. 39, Iss. 8
Open Access | Times Cited: 5
A Comprehensive and Intricate Dynamics of Aspergillus: Implications, Therapeutic Challenges, and Drug Resistance
Nabajit Kumar Borah, Yukti Tripathi, Aditi Parashar, et al.
(2024), pp. 427-455
Closed Access | Times Cited: 1
A comparative study of Bazedoxifene, Exemestane, Fulvestrant, Raloxifene, Tryprostatin A, and Vorinostat compounds as potential inhibitors against breast cancer through molecular docking, and molecular dynamics simulation
Sanjeevi Pandiyan, Li Wang
CHINESE JOURNAL OF ANALYTICAL CHEMISTRY (CHINESE VERSION) (2023) Vol. 51, Iss. 10, pp. 100315-100315
Open Access | Times Cited: 3
AI's role in pharmaceuticals: Assisting drug design from protein interactions to drug development
Solene Bechelli, Jérôme Delhommelle
Artificial Intelligence Chemistry (2023) Vol. 2, Iss. 1, pp. 100038-100038
Open Access | Times Cited: 2
Cancer pharmacoinformatics: Databases and analytical tools
Pradnya Kamble, Prinsa R. Nagar, Kaushikkumar A. Bhakhar, et al.
Functional & Integrative Genomics (2024) Vol. 24, Iss. 5
Closed Access
Rational Design of Anticancer Therapeutics
Debarupa Dutta Chakraborty, Prithviraj Chakraborty
(2024), pp. 445-456
Closed Access
Artificial Intelligence in Oncology
Krzysztof Jeziorski, Robert Olszewski
Applied Sciences (2024) Vol. 15, Iss. 1, pp. 269-269
Open Access
Robotic Stirring Mechanism with Novel Actuator for an Automated Drug Discovery Workcell
Yunqi Huang, Pyei-Phyo Aung, Chin-Boon Chng, et al.
(2023), pp. 667-672
Closed Access
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