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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:

ML-DTI: Mutual Learning Mechanism for Interpretable Drug–Target Interaction Prediction
Ziduo Yang, Weihe Zhong, Lu Zhao, et al.
The Journal of Physical Chemistry Letters (2021) Vol. 12, Iss. 17, pp. 4247-4261
Closed Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

MGraphDTA: deep multiscale graph neural network for explainable drug–target binding affinity prediction
Ziduo Yang, Weihe Zhong, Lu Zhao, et al.
Chemical Science (2022) Vol. 13, Iss. 3, pp. 816-833
Open Access | Times Cited: 186
Sequence-based drug design as a concept in computational drug design
Lifan Chen, Zisheng Fan, Jie Chang, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 60
Geometric Interaction Graph Neural Network for Predicting Protein–Ligand Binding Affinities from 3D Structures (GIGN)
Ziduo Yang, Weihe Zhong, Qiujie Lv, et al.
The Journal of Physical Chemistry Letters (2023) Vol. 14, Iss. 8, pp. 2020-2033
Closed Access | Times Cited: 54
AttentionMGT-DTA: A multi-modal drug-target affinity prediction using graph transformer and attention mechanism
Hongjie Wu, Junkai Liu, Tengsheng Jiang, et al.
Neural Networks (2023) Vol. 169, pp. 623-636
Open Access | Times Cited: 54
Advances of Artificial Intelligence in Anti-Cancer Drug Design: A Review of the Past Decade
Liuying Wang, Yongzhen Song, Hesong Wang, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 2, pp. 253-253
Open Access | Times Cited: 52
Meta Learning With Graph Attention Networks for Low-Data Drug Discovery
Qiujie Lv, Guanxing Chen, Ziduo Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023) Vol. 35, Iss. 8, pp. 11218-11230
Closed Access | Times Cited: 49
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: 18
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
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
Learning size-adaptive molecular substructures for explainable drug–drug interaction prediction by substructure-aware graph neural network
Ziduo Yang, Weihe Zhong, Qiujie Lv, et al.
Chemical Science (2022) Vol. 13, Iss. 29, pp. 8693-8703
Open Access | Times Cited: 60
NerLTR-DTA: drug–target binding affinity prediction based on neighbor relationship and learning to rank
Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, et al.
Bioinformatics (2022) Vol. 38, Iss. 7, pp. 1964-1971
Closed Access | Times Cited: 42
Drug–target affinity prediction method based on multi-scale information interaction and graph optimization
Zhiqin Zhu, Yao Zheng, Xin Zheng, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107621-107621
Closed Access | Times Cited: 32
Meta-MolNet: A Cross-Domain Benchmark for Few Examples Drug Discovery
Qiujie Lv, Guanxing Chen, Ziduo Yang, et al.
IEEE Transactions on Neural Networks and Learning Systems (2024) Vol. 36, Iss. 3, pp. 4849-4863
Closed Access | Times Cited: 9
iNGNN-DTI: prediction of drug–target interaction with interpretable nested graph neural network and pretrained molecule models
Yan Sun, Yan Yi Li, Carson K. Leung, et al.
Bioinformatics (2024) Vol. 40, Iss. 3
Open Access | Times Cited: 9
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
Predicting Drug–Target Interactions with Deep-Embedding Learning of Graphs and Sequences
Wei Chen, Guanxing Chen, Lu Zhao, et al.
The Journal of Physical Chemistry A (2021) Vol. 125, Iss. 25, pp. 5633-5642
Closed Access | Times Cited: 42
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: 34
A multimodal Transformer Network for protein-small molecule interactions enhances predictions of kinase inhibition and enzyme-substrate relationships
Alexander Kroll, Sahasra Ranjan, Martin J. Lercher
PLoS Computational Biology (2024) Vol. 20, Iss. 5, pp. e1012100-e1012100
Open Access | Times Cited: 6
Prediction of Binding Free Energy of Protein–Ligand Complexes with a Hybrid Molecular Mechanics/Generalized Born Surface Area and Machine Learning Method
Lina Dong, Xiaoyang Qu, Yuan Zhao, et al.
ACS Omega (2021) Vol. 6, Iss. 48, pp. 32938-32947
Open Access | Times Cited: 35
MGPLI: exploring multigranular representations for protein–ligand interaction prediction
Junjie Wang, Jie Hu, Huiting Sun, et al.
Bioinformatics (2022) Vol. 38, Iss. 21, pp. 4859-4867
Open Access | Times Cited: 23
DataDTA: a multi-feature and dual-interaction aggregation framework for drug–target binding affinity prediction
Yan Zhu, Lingling Zhao, Naifeng Wen, et al.
Bioinformatics (2023) Vol. 39, Iss. 9
Open Access | Times Cited: 15
Drug-target binding affinity prediction using message passing neural network and self supervised learning
Leiming Xia, Lei Xu, Shourun Pan, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 15
General Graph Neural Network-Based Model To Accurately Predict Cocrystal Density and Insight from Data Quality and Feature Representation
Jiali Guo, Ming Sun, Xueyan Zhao, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 4, pp. 1143-1156
Closed Access | Times Cited: 13
Efficient Deep Model Ensemble Framework for Drug-Target Interaction Prediction
Jinhang Wei, Yangbin Zhu, Linlin Zhuo, et al.
The Journal of Physical Chemistry Letters (2024) Vol. 15, Iss. 30, pp. 7681-7693
Closed Access | Times Cited: 5
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
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