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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.

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Showing 26-50 of 304 citing articles:

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: 39
TransDTI: Transformer-Based Language Models for Estimating DTIs and Building a Drug Recommendation Workflow
Yogesh Kalakoti, Shashank Yadav, Durai Sundar
ACS Omega (2022) Vol. 7, Iss. 3, pp. 2706-2717
Open Access | Times Cited: 38
Sequence-based prediction of protein binding regions and drug–target interactions
Ingoo Lee, Hojung Nam
Journal of Cheminformatics (2022) Vol. 14, Iss. 1
Open Access | Times Cited: 38
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: 37
TransformerGO: predicting protein–protein interactions by modelling the attention between sets of gene ontology terms
Ioan Ieremie, Rob M. Ewing, Mahesan Niranjan
Bioinformatics (2022) Vol. 38, Iss. 8, pp. 2269-2277
Open Access | Times Cited: 35
MFR-DTA: a multi-functional and robust model for predicting drug–target binding affinity and region
Hua Yang, Xiaoning Song, Zhenhua Feng, et al.
Bioinformatics (2023) Vol. 39, Iss. 2
Open Access | Times Cited: 35
Auto-Kla: a novel web server to discriminate lysine lactylation sites using automated machine learning
Fei-Liao Lai, Feng Gao
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 29
DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model
Yitian Fang, Yi Jiang, Leyi Wei, et al.
Bioinformatics (2023) Vol. 39, Iss. 12
Open Access | Times Cited: 25
A survey of drug-target interaction and affinity prediction methods via graph neural networks
Yue Zhang, Yuqing Hu, Na Han, et al.
Computers in Biology and Medicine (2023) Vol. 163, pp. 107136-107136
Closed Access | Times Cited: 23
MCANet: shared-weight-based MultiheadCrossAttention network for drug–target interaction prediction
Jilong Bian, Xi Zhang, Xiying Zhang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 22
Machine Learning for Sequence and Structure-Based Protein–Ligand Interaction Prediction
Yunjiang Zhang, Shuyuan Li, Kong Meng, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 5, pp. 1456-1472
Closed Access | Times Cited: 9
Revisiting drug–protein interaction prediction: a novel global–local perspective
Zhecheng Zhou, Qingquan Liao, Jinhang Wei, et al.
Bioinformatics (2024) Vol. 40, Iss. 5
Open Access | Times Cited: 9
Advancing drug discovery with deep attention neural networks
Antonio Lavecchia
Drug Discovery Today (2024) Vol. 29, Iss. 8, pp. 104067-104067
Open Access | Times Cited: 8
Drug–target affinity prediction with extended graph learning-convolutional networks
Haiou Qi, Ting Yu, Wenwen Yu, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
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: 6
TarIKGC: A Target Identification Tool Using Semantics-Enhanced Knowledge Graph Completion with Application to CDK2 Inhibitor Discovery
Shen Xiao-juan, Shijia Yan, Tao Zeng, et al.
Journal of Medicinal Chemistry (2025)
Closed Access
Improving drug–target affinity prediction by adaptive self-supervised learning
Qing Ye, Yaxin Sun
PeerJ Computer Science (2025) Vol. 11, pp. e2622-e2622
Open Access
MCF-DTI: Multi-Scale Convolutional Local–Global Feature Fusion for Drug–Target Interaction Prediction
Jihong Wang, Ruijia He, Xiaodan Wang, et al.
Molecules (2025) Vol. 30, Iss. 2, pp. 274-274
Open Access
MutualDTA: An Interpretable Drug–Target Affinity Prediction Model Leveraging Pretrained Models and Mutual Attention
Yongna Yuan, Siming Chen, Rizhen Hu, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
MultiDTI: drug–target interaction prediction based on multi-modal representation learning to bridge the gap between new chemical entities and known heterogeneous network
Deshan Zhou, Zhijian Xu, Wentao Li, et al.
Bioinformatics (2021) Vol. 37, Iss. 23, pp. 4485-4492
Closed Access | Times Cited: 52
SAG-DTA: Prediction of Drug–Target Affinity Using Self-Attention Graph Network
Shugang Zhang, Mingjian Jiang, Shuang Wang, et al.
International Journal of Molecular Sciences (2021) Vol. 22, Iss. 16, pp. 8993-8993
Open Access | Times Cited: 40
nhKcr: a new bioinformatics tool for predicting crotonylation sites on human nonhistone proteins based on deep learning
Yongzi Chen, Zhuozhi Wang, Yanan Wang, et al.
Briefings in Bioinformatics (2021) Vol. 22, Iss. 6
Open Access | Times Cited: 39
A brief review of protein–ligand interaction prediction
Lingling Zhao, Yan Zhu, Junjie Wang, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 2831-2838
Open Access | Times Cited: 32
Sequence-based drug-target affinity prediction using weighted graph neural networks
Mingjian Jiang, Shuang Wang, Shugang Zhang, et al.
BMC Genomics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 32
IIFDTI: predicting drug–target interactions through interactive and independent features based on attention mechanism
Zhongjian Cheng, Qichang Zhao, Yaohang Li, et al.
Bioinformatics (2022) Vol. 38, Iss. 17, pp. 4153-4161
Closed Access | Times Cited: 32

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