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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 14 citing articles:

Attention is all you need: utilizing attention in AI-enabled drug discovery
Yang Zhang, Caiqi Liu, Mujiexin Liu, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 127
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: 34
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: 10
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
MGNDTI: A Drug-Target Interaction Prediction Framework Based on Multimodal Representation Learning and the Gating Mechanism
Lihong Peng, Xin Liu, Min Chen, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 16, pp. 6684-6698
Closed Access | Times Cited: 6
Flexible drug-target interaction prediction with interactive information extraction and trade-off
Yunfei He, Chenyuan Sun, Li Meng, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123821-123821
Closed Access | Times Cited: 4
MFCADTI: improving drug-target interaction prediction by integrating multiple feature through cross attention mechanism
Quan Na, Shicheng Ma, Kai Zhao, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
Dynamic Prediction of Drug–Target Interactions via Cross-Modal Feature Mapping with Learnable Association Information
Zhi Qiang Wei, Zhenyu Wang, Chang Tang
Journal of Chemical Information and Modeling (2025)
Closed Access
Memol: Mixture of Experts for Multimodal Learning Through Multi-Head Attention to Predict Drug Toxicity
Jae-Woo Chu, Jong-Hoon Park, Young‐Rae Cho
(2025)
Closed Access
Relational similarity-based graph contrastive learning for DTI prediction
Jilong Bian, Hao Lu, Limin Wei, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Applications of Transformers in Computational Chemistry: Recent Progress and Prospects
Rui Wang, Yujin Ji, Youyong Li, et al.
The Journal of Physical Chemistry Letters (2024), pp. 421-434
Closed Access | Times Cited: 2
GeNNius: an ultrafast drug–target interaction inference method based on graph neural networks
Uxía Veleiro, Jesús de la Fuente, Guillermo Serrano, et al.
Bioinformatics (2023) Vol. 40, Iss. 1
Open Access | Times Cited: 6
BN-DTI: A deep learning based sequence feature incorporating method for predicting drug-target interaction
Wenhui Zhang, Xin Wen, Kewei Zhang, et al.
(2024), pp. 1-9
Closed Access
A Novel Evolutionary Constrained Multi-Objective Optimization Method for Identifying Personalized Drug Targets Combining with Structural Network Control Principles
Jing Liang, Zhuo Hu, Zongwei Li, et al.
(2023), pp. 1-7
Closed Access | Times Cited: 1
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