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:

Application of Machine Learning for Drug–Target Interaction Prediction
Lei Xu, Xiaoqing Ru, Rong Song
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 50

Showing 1-25 of 50 citing articles:

Revolutionizing Medicinal Chemistry: The Application of Artificial Intelligence (AI) in Early Drug Discovery
Ri Han, Hongryul Yoon, Gahee Kim, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 9, pp. 1259-1259
Open Access | Times Cited: 70

A comprehensive review of artificial intelligence and network based approaches to drug repurposing in Covid-19
Faheem Ahmed, Afaque Manzoor Soomro, Abdul Rahim Chethikkattuveli Salih, et al.
Biomedicine & Pharmacotherapy (2022) Vol. 153, pp. 113350-113350
Open Access | Times Cited: 61

DTI-HETA: prediction of drug–target interactions based on GCN and GAT on heterogeneous graph
Kanghao Shao, Yunhao Zhang, Yuqi Wen, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 49

A systematic review of computational approaches to understand cancer biology for informed drug repurposing
Faheem Ahmed, Anupama Samantasinghar, Afaque Manzoor Soomro, et al.
Journal of Biomedical Informatics (2023) Vol. 142, pp. 104373-104373
Open Access | Times Cited: 34

A review of deep learning methods for ligand based drug virtual screening
Hongjie Wu, Junkai Liu, Runhua Zhang, et al.
Fundamental Research (2024) Vol. 4, Iss. 4, pp. 715-737
Open Access | Times Cited: 13

The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges
Chiranjib Chakraborty, Manojit Bhattacharya, Sang‐Soo Lee, et al.
Molecular Therapy — Nucleic Acids (2024) Vol. 35, Iss. 3, pp. 102295-102295
Open Access | Times Cited: 8

Progress of machine learning in the application of small molecule druggability prediction
Junyao Li, Jianmei Zhang, Rui Guo, et al.
European Journal of Medicinal Chemistry (2025) Vol. 285, pp. 117269-117269
Closed Access | Times Cited: 1

Predicting the hub interactome of COVID-19 and oral squamous cell carcinoma: uncovering ALDH-mediated Wnt/β-catenin pathway activation via salivary inflammatory proteins
Pradeep Kumar Yadalam, Deepavalli Arumuganainar, Prabhu Manickam Natarajan, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1

A comprehensive review of the recent advances on predicting drug-target affinity based on deep learning
Xin Zeng, Shujuan Li, Shuang‐Qing Lv, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 5

The role of machine learning in discovering biomarkers and predicting treatment strategies for neurodegenerative diseases: A narrative review
Abdullahi Tunde Aborode, Ogunware Adedayo Emmanuel, Isreal Ayobami Onifade, et al.
NeuroMarkers. (2025) Vol. 2, Iss. 1, pp. 100034-100034
Open Access

Comparative Studies on Resampling Techniques in Machine Learning and Deep Learning Models for Drug-Target Interaction Prediction
Azwaar Khan Azlim Khan, Nurul Hashimah Ahamed Hassain Malim
Molecules (2023) Vol. 28, Iss. 4, pp. 1663-1663
Open Access | Times Cited: 12

Smart science: How artificial intelligence is revolutionizing pharmaceutical medicine
B V Swapna, Shibani Shetty, Manjunath Shetty, et al.
Acta Marisiensis. Seria Medica (2024) Vol. 70, Iss. 1, pp. 8-15
Open Access | Times Cited: 4

Human-Machine Interaction in Biomedical Manufacturing
Wai Yie Leong, Yuan Zhi Leong, W. Leong
(2023), pp. 939-944
Closed Access | Times Cited: 9

Toward generalizable structure‐based deep learning models for protein–ligand interaction prediction: Challenges and strategies
Seokhyun Moon, Wonho Zhung, Woo Youn Kim
Wiley Interdisciplinary Reviews Computational Molecular Science (2024) Vol. 14, Iss. 1
Closed Access | Times Cited: 3

Natural and engineered cyclodipeptides: Biosynthesis, chemical diversity, and engineering strategies for diversification and high-yield bioproduction.
Wahyu Setia Widodo, Sonja Billerbeck
Engineering Microbiology (2022) Vol. 3, Iss. 1, pp. 100067-100067
Open Access | Times Cited: 14

Artificial Intelligence, Machine Learning and Deep Learning in Ion Channel Bioinformatics
Mohammad Ashrafuzzaman
Membranes (2021) Vol. 11, Iss. 9, pp. 672-672
Open Access | Times Cited: 18

Viral informatics: bioinformatics-based solution for managing viral infections
Sanjay Kumar, Geethu S. Kumar, Subhrangsu Sundar Maitra, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 5
Closed Access | Times Cited: 13

Deep Learning and Site‐Specific Drug Delivery
Dhanalekshmi Unnikrishnan Meenakshi, Nandakumar Selvasudha, Arul Prakash Francis, et al.
(2022), pp. 1-38
Closed Access | Times Cited: 13

MvGraphDTA: multi-view-based graph deep model for drug-target affinity prediction by introducing the graphs and line graphs
Xin Zeng, Kai-Yang Zhong, Pei-Yan Meng, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 2

Deep learning in drug discovery: applications and limitations
Yuxuan Tang
Frontiers in Computing and Intelligent Systems (2023) Vol. 3, Iss. 2, pp. 118-123
Open Access | Times Cited: 5

Comprehensive Review on Drug-target Interaction Prediction - Latest Developments and Overview
Ali K. Abdul Raheem, Ban N. Dhannoon
Current Drug Discovery Technologies (2023) Vol. 21, Iss. 2
Closed Access | Times Cited: 5

Eugenol alleviated nonalcoholic fatty liver disease in rat via a gut-brain-liver axis involving glucagon-like Peptide-1
Hongzeng Li, Wen Jie Yuan, Yuxin Tian, et al.
Archives of Biochemistry and Biophysics (2022) Vol. 725, pp. 109269-109269
Closed Access | Times Cited: 8

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