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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:

DeepMPF: deep learning framework for predicting drug–target interactions based on multi-modal representation with meta-path semantic analysis
Zhong-Hao Ren, Zhu‐Hong You, Quan Zou, et al.
Journal of Translational Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

DeepCompoundNet: enhancing compound–protein interaction prediction with multimodal convolutional neural networks
Farnaz Palhamkhani, Milad Alipour, Abbas Dehnad, et al.
Journal of Biomolecular Structure and Dynamics (2023), pp. 1-10
Closed Access | Times Cited: 21
BCMCMI: A Fusion Model for Predicting circRNA-miRNA Interactions Combining Semantic and Meta-path
Meng-Meng Wei, Chang-Qing Yu, Liping Li, et al.
Journal of Chemical Information and Modeling (2023) Vol. 63, Iss. 16, pp. 5384-5394
Closed Access | Times Cited: 18
Deciphering the Lexicon of Protein Targets: A Review on Multifaceted Drug Discovery in the Era of Artificial Intelligence
Suvendu Nandi, Soumyadeep Bhaduri, Debraj Das, et al.
Molecular Pharmaceutics (2024) Vol. 21, Iss. 4, pp. 1563-1590
Closed Access | Times Cited: 8
BEROLECMI: a novel prediction method to infer circRNA-miRNA interaction from the role definition of molecular attributes and biological networks
Xinfei Wang, Chang-Qing Yu, Zhu‐Hong You, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 5
AutoDDI: Drug–Drug Interaction Prediction With Automated Graph Neural Network
Jianliang Gao, Zhenpeng Wu, Raeed Al-Sabri, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 3, pp. 1773-1784
Closed Access | Times Cited: 4
A comparison of embedding aggregation strategies in drug–target interaction prediction
Dimitrios Iliadis, Bernard De Baets, Tapio Pahikkala, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 4
PDE5 inhibitors against cancer via mediating immune cells in tumor microenvironment: AI‐based approach for future drug repurposing exploration
Zhenzhan Zhang, Donghua Huang, Junjie Feng, et al.
Deleted Journal (2024) Vol. 2, Iss. 3
Open Access | Times Cited: 4
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
Machine Learning Approaches in Metabolic Pathway Predictions and Drug-Target Interactions: Advancing Drug Discovery
Mohamed E. Hasan, Ramanjaneyulu Allam, Alaa A. Hemeida, et al.
(2025), pp. 471-496
Closed Access
GiGs: graph-based integrated Gaussian kernel similarity for virus–drug association prediction
Yixuan Jin, Juanjuan Huang, Xu Sun, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
Machine learning and multi-omics integration: advancing cardiovascular translational research and clinical practice
Mingzhi Lin, Jiuqi Guo, Zhilin Gu, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
Prediction of circRNA–miRNA Interaction Using Graph Attention Network Based on Molecular Attributes and Biological Networks
Abdullah Almotilag, Murtada K. Elbashir, Mahmood A. Mahmood, et al.
Processes (2025) Vol. 13, Iss. 5, pp. 1318-1318
Open Access
Negative sampling strategies impact the prediction of scale-free biomolecular network interactions with machine learning
Pengpai Li, Bowen Shao, Guoqing Zhao, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access
Unraveling the artificial intelligence role in drug discovery and pharmaceutical product design: an opportunity and challenges
Bhakti Sudha Pandey, Sumit Durgapal, Sumel Ashique, et al.
Discover Artificial Intelligence (2025) Vol. 5, Iss. 1
Open Access
CLOP-hERG: The Contrastive Learning Optimized Pre-trained Model for Representation Learning in Predicting Drug-Induced hERG Channel Blockers
Shida He, Xiucai Ye, Tetsuya Sakurai
Deleted Journal (2024) Vol. 1, Iss. 3, pp. 103-111
Open Access | Times Cited: 3
Mutual-DTI: A mutual interaction feature-based neural network for drug-target protein interaction prediction
Jiahui Wen, Haitao Gan, Zhi Yong Yang, et al.
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 6, pp. 10610-10625
Open Access | Times Cited: 6
A spatial hierarchical network learning framework for drug repositioning allowing interpretation from macro to micro scale
Zhong-Hao Ren, Xiangxiang Zeng, Yizhen Lao, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Elucidation of the mechanism of action of ailanthone in the treatment of colorectal cancer: integration of network pharmacology, bioinformatics analysis and experimental validation
Shanbo Ma, Xiaodi Guo, Ruisi Han, et al.
Frontiers in Pharmacology (2024) Vol. 15
Open Access | Times Cited: 1
A deep drug prediction framework for viral infectious diseases using an optimizer-based ensemble of convolutional neural network: COVID-19 as a case study
A. S. Aruna, K. R. Remesh Babu, K. Deepthi
Molecular Diversity (2024)
Closed Access | Times Cited: 1
MultiGranDTI: an explainable multi-granularity representation framework for drug-target interaction prediction
Xu Gong, Qun Liu, Jing He, et al.
Applied Intelligence (2024) Vol. 55, Iss. 2
Closed Access | Times Cited: 1
SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph Convolution
Zhong-Hao Ren, Chang-Qing Yu, Liping Li, et al.
Journal of Chemical Information and Modeling (2023) Vol. 64, Iss. 1, pp. 238-249
Closed Access | Times Cited: 3
Drug-Target Interaction Prediction Based on Knowledge Graph and Convolutional Neural Network Integrated with CBAM Module
Zhongyu He
Lecture notes in computer science (2023), pp. 653-665
Closed Access | Times Cited: 2
DeepMHAttGRU-DTI: Prediction of Drug-Target Interactions Based on Knowledge Graph Random Walk Embeddings and GRU Neural Network
Wanjie Yu, Haitao Yu
Lecture notes in computer science (2024), pp. 96-107
Closed Access
Graph Neural Network-Based Structured Scene Graph Generation for Efficient Wildfire Detection
Yanning Ye, Luo Shi-min, Mengmeng Jing, et al.
Lecture notes in computer science (2024), pp. 356-367
Closed Access
A comprehensive survey of drug-target interaction analysis in allopathy and siddha medicine
Uma E, T. Mala, A. Geetha, et al.
Artificial Intelligence in Medicine (2024) Vol. 157, pp. 102986-102986
Closed Access
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