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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:

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

Showing 13 citing articles:

MSI-DTI: predicting drug-target interaction based on multi-source information and multi-head self-attention
Wenchuan Zhao, Yufeng Yu, Guosheng Liu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
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
Hierarchical multimodal self-attention-based graph neural network for DTI prediction
Jilong Bian, Hao Lu, Guanghui Dong, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 4
Open Access | Times Cited: 5
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
Application of Artificial Intelligence In Drug-target Interactions Prediction: A Review
Qian Liao, Yu Zhang, Ying Chu, et al.
npj Biomedical Innovations. (2025) Vol. 2, Iss. 1
Open 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
MFA-DTI: Drug-target interaction prediction based on multi-feature fusion adopted framework
Siqi Chen, Minghui Li, Ivan Semenov
Methods (2024) Vol. 224, pp. 79-92
Closed Access | Times Cited: 1
Mixture-of-Experts Approach for Enhanced Drug-Target Interaction Prediction and Confidence Assessment
Yijingxiu Lu, Sangseon Lee, Soosung Kang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1
Enhancing drug discovery in schizophrenia: a deep learning approach for accurate drug-target interaction prediction – DrugSchizoNet
S. J., P. Durgadevi, P. Ezhumalai
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-18
Closed Access
A New Paradigm in Tumor Therapy: Molecularly Targeted-Adoptive Cell Immunotherapy
Yunhao Lei
Transactions on Cancer (2024) Vol. 5, Iss. 1
Open Access
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
A Review of Drug-related Associations Prediction Based on Artificial Intelligence Methods
Mei Ma, Xiujuan Lei, Yuchen Zhang
Current Bioinformatics (2023) Vol. 19, Iss. 6, pp. 530-550
Closed Access
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