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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:

DeepPurpose: a deep learning library for drug–target interaction prediction
Kexin Huang, Tianfan Fu, Lucas M. Glass, et al.
Bioinformatics (2020) Vol. 36, Iss. 22-23, pp. 5545-5547
Open Access | Times Cited: 327

Showing 1-25 of 327 citing articles:

Artificial intelligence to deep learning: machine intelligence approach for drug discovery
Rohan Gupta, Devesh Srivastava, Mehar Sahu, et al.
Molecular Diversity (2021) Vol. 25, Iss. 3, pp. 1315-1360
Open Access | Times Cited: 889
Geometry-enhanced molecular representation learning for property prediction
Xiaomin Fang, Lihang Liu, Jieqiong Lei, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 2, pp. 127-134
Open Access | Times Cited: 334
A unified drug–target interaction prediction framework based on knowledge graph and recommendation system
Qing Ye, Chang‐Yu Hsieh, Ziyi Yang, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 159
AI in drug discovery and its clinical relevance
Rizwan Qureshi, Muhammad Irfan, Taimoor Muzaffar Gondal, et al.
Heliyon (2023) Vol. 9, Iss. 7, pp. e17575-e17575
Open Access | Times Cited: 144
Machine and Deep Learning towards COVID-19 Diagnosis and Treatment: Survey, Challenges, and Future Directions
Tarik Alafif, Abdul Muneeim Tehame, Saleh Bajaba, et al.
International Journal of Environmental Research and Public Health (2021) Vol. 18, Iss. 3, pp. 1117-1117
Open Access | Times Cited: 125
PIGNet: a physics-informed deep learning model toward generalized drug–target interaction predictions
Seokhyun Moon, Wonho Zhung, Soojung Yang, et al.
Chemical Science (2022) Vol. 13, Iss. 13, pp. 3661-3673
Open Access | Times Cited: 121
Deep learning for drug repurposing: Methods, databases, and applications
Xiaoqin Pan, Xuan Lin, Dongsheng Cao, et al.
Wiley Interdisciplinary Reviews Computational Molecular Science (2022) Vol. 12, Iss. 4
Open Access | Times Cited: 97
Contrastive learning in protein language space predicts interactions between drugs and protein targets
Rohit Singh, Samuel Sledzieski, Bryan D. Bryson, et al.
Proceedings of the National Academy of Sciences (2023) Vol. 120, Iss. 24
Open Access | Times Cited: 86
Improving the generalizability of protein-ligand binding predictions with AI-Bind
Ayan Chatterjee, Robin Walters, Zohair Shafi, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 85
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: 80
Artificial Intelligence in Pharmaceutical Sciences
Mingkun Lu, Jiayi Yin, Qi Zhu, et al.
Engineering (2023) Vol. 27, pp. 37-69
Open Access | Times Cited: 64
ADMET-AI: a machine learning ADMET platform for evaluation of large-scale chemical libraries
Kyle Swanson, Parker Walther, Jeremy Leitz, et al.
Bioinformatics (2024) Vol. 40, Iss. 7
Open Access | Times Cited: 41
CCL-DTI: contributing the contrastive loss in drug–target interaction prediction
Alireza Dehghan, Karim Abbasi, Parvin Razzaghi, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 33
Generative artificial intelligence in drug discovery: basic framework, recent advances, challenges, and opportunities
Amit Gangwal, M. Azim Ansari, Iqrar Ahmad, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 25
Comprehensive Survey of Recent Drug Discovery Using Deep Learning
Jintae Kim, Sera Park, Dongbo Min, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 18, pp. 9983-9983
Open Access | Times Cited: 99
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
BACPI: a bi-directional attention neural network for compound–protein interaction and binding affinity prediction
Min Li, Zhangli Lu, Yifan Wu, et al.
Bioinformatics (2022) Vol. 38, Iss. 7, pp. 1995-2002
Closed Access | Times Cited: 60
DeepMGT-DTI: Transformer network incorporating multilayer graph information for Drug–Target interaction prediction
Peiliang Zhang, Ziqi Wei, Chao Che, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105214-105214
Closed Access | Times Cited: 60
DeepFusion: A deep learning based multi-scale feature fusion method for predicting drug-target interactions
Tao Song, Xudong Zhang, Mao Ding, et al.
Methods (2022) Vol. 204, pp. 269-277
Closed Access | Times Cited: 55
Affinity2Vec: drug-target binding affinity prediction through representation learning, graph mining, and machine learning
Maha A. Thafar, Mona Alshahrani, Somayah Albaradei, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 53
ADMETboost: a web server for accurate ADMET prediction
Hao Tian, Rajas Ketkar, Peng Tao
Journal of Molecular Modeling (2022) Vol. 28, Iss. 12
Open Access | Times Cited: 49
Compound–protein interaction prediction by deep learning: Databases, descriptors and models
Bing-Xue Du, Yuan Qin, Yanfeng Jiang, et al.
Drug Discovery Today (2022) Vol. 27, Iss. 5, pp. 1350-1366
Closed Access | Times Cited: 42
Modality-DTA: Multimodality Fusion Strategy for Drug–Target Affinity Prediction
Xixi Yang, Zhangming Niu, Yuansheng Liu, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 2, pp. 1200-1210
Closed Access | Times Cited: 42
Perceiver CPI: a nested cross-attention network for compound–protein interaction prediction
Ngoc-Quang Nguyen, Gwanghoon Jang, Hajung Kim, et al.
Bioinformatics (2022) Vol. 39, Iss. 1
Open Access | Times Cited: 42
Deep Learning and Structure-Based Virtual Screening for Drug Discovery against NEK7: A Novel Target for the Treatment of Cancer
Mubashir Aziz, Syeda Abida Ejaz, Seema Zargar, et al.
Molecules (2022) Vol. 27, Iss. 13, pp. 4098-4098
Open Access | Times Cited: 41
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