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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:

Biomedical Data and Deep Learning Computational Models for Predicting Compound-Protein Relations
Qichang Zhao, Mengyun Yang, Zhongjian Cheng, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2021) Vol. 19, Iss. 4, pp. 2092-2110
Closed Access | Times Cited: 25

Showing 25 citing articles:

HyperAttentionDTI: improving drug–protein interaction prediction by sequence-based deep learning with attention mechanism
Qichang Zhao, Haochen Zhao, Kai Zheng, et al.
Bioinformatics (2021) Vol. 38, Iss. 3, pp. 655-662
Closed Access | Times Cited: 126
DeepCompoundNet: enhancing compound–protein interaction prediction with multimodal convolutional neural networks
Farnaz Palhamkhani, Milad Alipour, Abbas Dehnad, et al.
Journal of Biomolecular Structure and Dynamics (2023), pp. 1-10
Closed Access | Times Cited: 21
CAT-DTI: cross-attention and Transformer network with domain adaptation for drug-target interaction prediction
Xiaoting Zeng, Weilin Chen, Baiying Lei
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 6
Molecular Joint Representation Learning via Multi-Modal Information of SMILES and Graphs
Tianyu Wu, Yang Tang, Qiyu Sun, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 5, pp. 3044-3055
Closed Access | Times Cited: 15
Bridging chemical structure and conceptual knowledge enables accurate prediction of compound-protein interaction
Tao Wen, Xuan Lin, Yuansheng Liu, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 5
Artificial intelligence (AI) meets biomaterials and biomedicine
Shuyan Han, Jun Wu
Smart Materials in Medicine (2024) Vol. 5, Iss. 2, pp. 251-255
Open Access | Times Cited: 4
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
Enhanced inhibitor–kinase affinity prediction via integrated multimodal analysis of drug molecule and protein sequence features
Zhenxing Li, Kaitai Han, Zijun Wang, et al.
International Journal of Biological Macromolecules (2025), pp. 142871-142871
Closed Access
Small dataset solves big problem: An outlier-insensitive binary classifier for inhibitory potency prediction
Teng Zhou, Haowen Dou, Jie Tan, et al.
Knowledge-Based Systems (2022) Vol. 251, pp. 109242-109242
Closed Access | Times Cited: 18
GIFDTI: Prediction of Drug-Target Interactions Based on Global Molecular and Intermolecular Interaction Representation Learning
Qichang Zhao, Guihua Duan, Haochen Zhao, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 3, pp. 1943-1952
Closed Access | Times Cited: 13
GTAMP-DTA: Graph transformer combined with attention mechanism for drug-target binding affinity prediction
Chuangchuang Tian, Luping Wang, Zhiming Cui, et al.
Computational Biology and Chemistry (2023) Vol. 108, pp. 107982-107982
Closed Access | Times Cited: 6
Artificial intelligence in systems biology
Abhijit Dasgupta, Rajat K. De
Handbook of statistics (2023), pp. 153-201
Closed Access | Times Cited: 4
Thermal proteome profiling and machine learning modeling for dissecting chemical-protein interactions in environmental toxicology: A mini-review and perspectives
Zimeng Wu, Zhiqiang Fu, Xiaomei Yu, et al.
Critical Reviews in Environmental Science and Technology (2024) Vol. 54, Iss. 20, pp. 1478-1500
Closed Access | Times Cited: 1
TEST-Net: transformer-enhanced Spatio-temporal network for infectious disease prediction
Kai Chen, Yao Liu, Tianjiao Ji, et al.
Multimedia Systems (2024) Vol. 30, Iss. 6
Closed Access | Times Cited: 1
ET-PROTACs: modeling ternary complex interactions using cross-modal learning and ternary attention for accurate PROTAC-induced degradation prediction
Lijun Cai, Guanghui Yue, Yifan Chen, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 1
DeepBLI: A Transferable Multichannel Model for Detecting β-Lactamase-Inhibitor Interaction
Ruihan Dong, Hongpeng Yang, Chengwei Ai, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 22, pp. 5830-5840
Closed Access | Times Cited: 7
Synthesis, DFT study, molecular docking and larvicidal activity of Chitin inhibitor alanine derived compounds
Misbah Shahid, Preeti Jain, Anindita De, et al.
Polyhedron (2023) Vol. 245, pp. 116629-116629
Closed Access | Times Cited: 3
IMAEN: An interpretable molecular augmentation model for drug–target interaction prediction
Jing Zhang, Zhi Liu, Yaohua Pan, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121882-121882
Closed Access | Times Cited: 2
LLMDTA: Improving Cold-Start Prediction in Drug-Target Affinity with Biological LLM
Wuguo Tang, Qichang Zhao, Jianxin Wang
Lecture notes in computer science (2024), pp. 152-163
Closed Access
HiGraphDTI: Hierarchical Graph Representation Learning for Drug-Target Interaction Prediction
Bin Liu, Siqi Wu, Jin Wang, et al.
Lecture notes in computer science (2024), pp. 354-370
Closed Access
ASAP-DTA: Predicting Drug-Target Binding Affinity with Adaptive Structure Aware Networks
Weibin Ding, Shaohua Jiang, Ting Xu, et al.
Journal of Bioinformatics and Computational Biology (2024) Vol. 22, Iss. 06
Closed Access
Classification of cold and hot medicinal properties of Chinese herbal medicines based on graph convolutional network
Mengling Yang, Wei Liu
Digital Chinese Medicine (2024) Vol. 7, Iss. 4, pp. 356-364
Open Access
SAGDTI: self-attention and graph neural network with multiple information representations for the prediction of drug–target interactions
Xiaokun Li, Qiang Yang, Gongning Luo, et al.
Bioinformatics Advances (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 1
TEST-Net: Transformer-Enhanced Spatio-Temporal Network for infectious disease prediction
Kai Chen, Yao Liu, Tianjiao Ji, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
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