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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 18 citing articles:

Revolutionizing Medicinal Chemistry: The Application of Artificial Intelligence (AI) in Early Drug Discovery
Ri Han, Hongryul Yoon, Gahee Kim, et al.
Pharmaceuticals (2023) Vol. 16, Iss. 9, pp. 1259-1259
Open Access | Times Cited: 70
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
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: 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
Predicting drug and target interaction with dilated reparameterize convolution
Min Deng, Jian Wang, Yiming Zhao, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Protein language models for predicting drug–target interactions: Novel approaches, emerging methods, and future directions
Atabey Ünlü, Erva Ulusoy, Melih Gökay Yiğit, et al.
Current Opinion in Structural Biology (2025) Vol. 91, pp. 103017-103017
Closed Access
A Knowledge‐Guided Graph Learning Approach Bridging Phenotype‐ and Target‐Based Drug Discovery
Qing Ye, Yundian Zeng, Lei Jiang, et al.
Advanced Science (2025)
Open Access
MGMA-DTI: Drug target interaction prediction using multi-order gated convolution and multi-attention fusion
Chang Li, Jia Mi, Han Wang, et al.
Computational Biology and Chemistry (2025), pp. 108449-108449
Closed Access
Pitfalls in Developing Machine Learning Models for Predicting Cardiovascular Diseases: Challenge and Solutions (Preprint)
Yuqing Cai, Da-Xin Gong, Li-Ying Tang, et al.
Journal of Medical Internet Research (2024) Vol. 26, pp. e47645-e47645
Open Access | Times Cited: 3
DeFuseDTI: Interpretable Drug Target Interaction Prediction Model with Dual-branch encoder and Multiview Fusion
Bao-Ming Feng, Yuanyuan Zhang, Niu-Wang-Jie Niu, et al.
Future Generation Computer Systems (2024) Vol. 161, pp. 239-247
Closed Access | Times Cited: 3
Research Progresses and Applications of Knowledge Graph Embedding Technique in Chemistry
C. Joanne Wang, Yunqing Yang, Jinshuai Song, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access | Times Cited: 2
BindingSiteDTI: Differential-scale binding site modelling for Drug-Target interaction prediction
Feng Pan, Chong Yin, Siqi Liu, et al.
Bioinformatics (2024) Vol. 40, Iss. 5
Open Access | Times Cited: 2
RDKG-115: Assisting drug repurposing and discovery for rare diseases by trimodal knowledge graph embedding
Chaoyu Zhu, Xiaoqiong Xia, Nan Li, et al.
Computers in Biology and Medicine (2023) Vol. 164, pp. 107262-107262
Open Access | Times Cited: 5
Drug-target interaction prediction with collaborative contrastive learning and adaptive self-paced sampling strategy
Zhen Tian, Yue Yu, Fengming Ni, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 1
Improving compound-protein interaction prediction by focusing on intra-modality and inter-modality dynamics with a multimodal tensor fusion strategy
Meng Wang, Jianmin Wang, Jianxin Ji, et al.
Computational and Structural Biotechnology Journal (2024) Vol. 23, pp. 3714-3729
Open Access
AI drug discovery tools and analysis technology: New Methods Aids in Studying the Compatibility of Traditional Chinese Medicine
Qiwu Jiang, Su-han Yang, Shan He, et al.
Pharmacological Research - Modern Chinese Medicine (2024), pp. 100566-100566
Open Access
Prediction of Pic50 Bioactive Values Based on Knowledge Priors and Attention Neural Networks
Meng Li, Wenyan Tang, Xin-Fei Wang, et al.
(2023)
Closed Access | Times Cited: 1
Robust and Adaptive Deep Model Ensemble Framework Fine-tuned by Structural Information for Drug-Target Interactions
Jinhang Wei, Linlin Zhuo, Xiangzheng Fu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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