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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:

Deep learning in drug discovery: an integrative review and future challenges
Heba Askr, Enas Elgeldawi, Heba Aboul Ella, et al.
Artificial Intelligence Review (2022) Vol. 56, Iss. 7, pp. 5975-6037
Open Access | Times Cited: 160

Showing 1-25 of 160 citing articles:

History of Artificial Intelligence
Alberto Guizzi, Patrick J. Denard, Philippe Collin, et al.
(2024), pp. 1-9
Closed Access | Times Cited: 29
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: 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
Artificial intelligence streamlines scientific discovery of drug–target interactions
Yuxin Yang, Feixiong Cheng
British Journal of Pharmacology (2025)
Open Access | Times Cited: 1
Artificial Intelligence in Drug Discovery and Development
Kit‐Kay Mak, Yi-Hang Wong, Mallikarjuna Rao Pichika
Springer eBooks (2023), pp. 1-38
Closed Access | Times Cited: 26
Explainable artificial intelligence: A survey of needs, techniques, applications, and future direction
Melkamu Mersha, Khang Nhứt Lâm, Joseph Wood, et al.
Neurocomputing (2024) Vol. 599, pp. 128111-128111
Closed Access | Times Cited: 11
Artificial Intelligence (AI) Applications in Drug Discovery and Drug Delivery: Revolutionizing Personalized Medicine
Dolores R. Serrano, Francis C. Luciano, Brayan J. Anaya, et al.
Pharmaceutics (2024) Vol. 16, Iss. 10, pp. 1328-1328
Open Access | Times Cited: 10
Artificial intelligence in Immuno-genetics
Raed Farzan
Bioinformation (2024) Vol. 20, Iss. 1, pp. 29-35
Open Access | Times Cited: 9
Protein subcellular localization prediction tools
Maryam Gillani, Gianluca Pollastri
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 1796-1807
Open Access | Times Cited: 9
Artificial intelligence in metabolomics: a current review
Jinhua Chi, Jingmin Shu, Ming Li, et al.
TrAC Trends in Analytical Chemistry (2024) Vol. 178, pp. 117852-117852
Closed Access | Times Cited: 9
Anesthetic drug discovery with computer-aided drug design and machine learning
Xianggen Liu, Zhe Xue, Mingmin Luo, et al.
Anesthesiology and Perioperative Science (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 6
Advancing paleontology: a survey on deep learning methodologies in fossil image analysis
Mohammed Yaqoob Ansari, Mohammed Ishaq Mohammed, Mohammed Yusuf Ansari, et al.
Artificial Intelligence Review (2025) Vol. 58, Iss. 3
Open Access
Emerging trends in the optimization of organic synthesis through high-throughput tools and machine learning
Pablo Quijano Velasco, Kedar Hippalgaonkar, Balamurugan Ramalingam
Beilstein Journal of Organic Chemistry (2025) Vol. 21, pp. 10-38
Open Access
A novel approach to unlocking the synergy of large language models and chemical knowledge in biomedical signal applications
Zilong Yin, Haoyu Wang, Bin Chen, et al.
Biomedical Signal Processing and Control (2025) Vol. 103, pp. 107388-107388
Closed Access
Overview and Prospects of DNA Sequence Visualization
Wu Yan, Xiaojun Xie, Jihong Zhu, et al.
International Journal of Molecular Sciences (2025) Vol. 26, Iss. 2, pp. 477-477
Open Access
Researching public health datasets in the era of deep learning: a systematic literature review
Rand Obeidat, Izzat Alsmadi, Qanita Bani Baker, et al.
Health Informatics Journal (2025) Vol. 31, Iss. 1
Open Access
Unveiling the ghost: machine learning’s impact on the landscape of virology
Sebastian Bowyer, David J. Allen, Nicholas Furnham
Journal of General Virology (2025) Vol. 106, Iss. 1
Closed Access
Exploring the anticancer activities of Sulfur and magnesium oxide through integration of deep learning and fuzzy rough set analyses based on the features of Vidarabine alkaloid
Heba Askr, Marwa A. A. Fayed, Heba Mamdouh Farghaly, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
A Study of Machine Learning Dynamics: Algorithms, Applications, and Fundamental Frameworks
Shainky, Asha Ambhaikar
Lecture notes in networks and systems (2025), pp. 43-52
Closed Access
DO-GMA: An End-to-End Drug–Target Interaction Identification Framework with a Depthwise Overparameterized Convolutional Network and the Gated Multihead Attention Mechanism
Lihong Peng, Jiangyang Mao, Guohua Huang, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
ABIET: An explainable transformer for identifying functional groups in biological active molecules
Tiago Pereira, Maryam Abbasi, Joel P. Arrais
Computers in Biology and Medicine (2025) Vol. 187, pp. 109740-109740
Open Access
Deep learning: A game changer in drug design and development
Sushanta Kumar Das, Rahul Mishra, Amit Samanta, et al.
Advances in pharmacology (2025)
Closed Access
New drug discovery and Hedonic Q: A new interpretation
Ömer Tuğsal Doruk
Computers in Biology and Medicine (2025) Vol. 187, pp. 109738-109738
Closed Access
A Systematic Review of Deep Learning Methodologies Used in the Drug Discovery Process with Emphasis on In Vivo Validation
Nikoletta-Maria Koutroumpa, Konstantinos D. Papavasileiou, Anastasios G. Papadiamantis, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 7, pp. 6573-6573
Open Access | Times Cited: 18
Quinolines and isoquinolines as HIV-1 inhibitors: Chemical structures, action targets, and biological activities
Sha Hu, Jiong Chen, Jin-Xu Cao, et al.
Bioorganic Chemistry (2023) Vol. 136, pp. 106549-106549
Closed Access | Times Cited: 18
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