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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:

Drug–target binding affinity prediction model based on multi-scale diffusion and interactive learning
Zhiqin Zhu, Xin Zheng, Guanqiu Qi, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124647-124647
Closed Access | Times Cited: 18

Showing 18 citing articles:

The future of pharmaceuticals: Artificial intelligence in drug discovery and development
Chen Fu, Qi Chen
Journal of Pharmaceutical Analysis (2025), pp. 101248-101248
Open Access | Times Cited: 1
ReduMixDTI: Prediction of Drug–Target Interaction with Feature Redundancy Reduction and Interpretable Attention Mechanism
Mingqing Liu, Xuechun Meng, Yiyang Mao, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access | Times Cited: 4
MMSG-DTA: A Multimodal, Multiscale Model Based on Sequence and Graph Modalities for Drug-Target Affinity Prediction
Jiahao Xu, Lei Ci, Bo Zhu, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Deep Drug–Target Binding Affinity Prediction Base on Multiple Feature Extraction and Fusion
Zepeng Li, Yuni Zeng, Mingfeng Jiang, et al.
ACS Omega (2025) Vol. 10, Iss. 2, pp. 2020-2032
Open Access
MMPD-DTA: Integrating Multi-Modal Deep Learning with Pocket-Drug Graphs for Drug-Target Binding Affinity Prediction
Guishen Wang, H. Zhang, Mengting Shao, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Hybrid approach for drug-target interaction predictions in ischemic stroke models
Jing-Jie Peng, Yiyue Zhang, Ruifeng Li, et al.
Artificial Intelligence in Medicine (2025) Vol. 161, pp. 103067-103067
Closed 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
GAINET: Enhancing drug-drug interaction predictions through graph neural networks and attention mechanisms
Bihter Daş, Huseyin Alperen Dagdogen, Muhammed Onur Kaya, et al.
Chemometrics and Intelligent Laboratory Systems (2025), pp. 105337-105337
Closed Access
Drug target affinity prediction based on multi-scale gated power graph and multi-head linear attention mechanism
Shao-Zhen Hu, Jing Hu, Xiaolong Zhang, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0315718-e0315718
Open Access
Drug–target affinity prediction using rotary encoding and information retention mechanisms
Zhiqin Zhu, Yan Ding, Guanqiu Qi, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 147, pp. 110239-110239
Closed Access
Protein-ligand interaction prediction based on heterogeneity maps and data enhancement
Weimin Li, Xiaoyang Li, Mengying Wang, et al.
Journal of Biomolecular Structure and Dynamics (2025), pp. 1-13
Closed Access
MDNN-DTA: a multimodal deep neural network for drug-target affinity prediction
Xu Gao, Mengfan Yan, Chengwei Zhang, et al.
Frontiers in Genetics (2025) Vol. 16
Open Access
Elucidating the role of artificial intelligence in drug development from the perspective of drug-target interactions
Boyang Wang, Tingyu Zhang, Qingyuan Liu, et al.
Journal of Pharmaceutical Analysis (2024) Vol. 15, Iss. 3, pp. 101144-101144
Open Access | Times Cited: 2
Acoustic emission and electromagnetic radiation precursor signal identification and early warning of coal and gas outburst based on diffusion-semi-supervised classification method
Binglong Liu, Zhonghui Li, Zesheng Zang, et al.
Physics of Fluids (2024) Vol. 36, Iss. 12
Closed Access | Times Cited: 2
SSR-DTA: Substructure-aware multi-layer graph neural networks for drug-target binding affinity prediction
Yuansheng Liu, Xinyan Xia, Yongshun Gong, et al.
Artificial Intelligence in Medicine (2024) Vol. 157, pp. 102983-102983
Closed Access | Times Cited: 1
Designing an adaptive learning framework for predicting drug-target affinity using reinforcement learning and graph neural networks
Jun Ma, Zhili Zhao, Yunwu Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109472-109472
Closed Access
Multimodal Fusion-Based Lightweight Model for Enhanced Generalization in Drug–Target Interaction Prediction
Jonghyun Lee, Dokyoon Kim, Dae Won Jun, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access
Residue-Level Multiview Deep Learning for ATP Binding Site Prediction and Applications in Kinase Inhibitors
Jae-Chan Lee, Dongmin Bang, Sun Kim
Journal of Chemical Information and Modeling (2024) Vol. 65, Iss. 1, pp. 50-61
Closed Access
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