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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:

Fusing Higher and Lower-Order Biological Information for Drug Repositioning via Graph Representation Learning
Bo-Wei Zhao, Lei Wang, Pengwei Hu, et al.
IEEE Transactions on Emerging Topics in Computing (2023) Vol. 12, Iss. 1, pp. 163-176
Closed Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Motif-Aware miRNA-Disease Association Prediction via Hierarchical Attention Network
Bo-Wei Zhao, Yi-Zhou He, Xiaorui Su, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 7, pp. 4281-4294
Closed Access | Times Cited: 20
Leveraging pre-trained language models for mining microbiome-disease relationships
Nikitha Karkera, Sathwik Acharya, Sucheendra K. Palaniappan
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 27
Dual-channel hypergraph convolutional network for predicting herb–disease associations
Lun Hu, Menglong Zhang, Pengwei Hu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 14
DrugReAlign: a multisource prompt framework for drug repurposing based on large language models
Jinhang Wei, Linlin Zhuo, Xiangzheng Fu, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 13
AMDGT: Attention aware multi-modal fusion using a dual graph transformer for drug–disease associations prediction
Junkai Liu, Shixuan Guan, Quan Zou, et al.
Knowledge-Based Systems (2023) Vol. 284, pp. 111329-111329
Open Access | Times Cited: 21
SubMDTA: drug target affinity prediction based on substructure extraction and multi-scale features
Shourun Pan, Leiming Xia, Lei Xu, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 20
AMDECDA: Attention Mechanism Combined With Data Ensemble Strategy for Predicting CircRNA-Disease Association
Lei Wang, Leon Wong, Zhu‐Hong You, et al.
IEEE Transactions on Big Data (2023) Vol. 10, Iss. 4, pp. 320-329
Closed Access | Times Cited: 20
Artificial intelligence accelerates multi-modal biomedical process: A Survey
Jiajia Li, Xue Han, Yiming Qin, et al.
Neurocomputing (2023) Vol. 558, pp. 126720-126720
Closed Access | Times Cited: 19
Interpretable deep learning methods for multiview learning
Hengkang Wang, Lu Han, Ju Sun, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 8
MCL-DTI: using drug multimodal information and bi-directional cross-attention learning method for predicting drug–target interaction
Ying Qian, Xinyi Li, Jian Wu, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 14
NCH-DDA: Neighborhood contrastive learning heterogeneous network for drug–disease association prediction
Peiliang Zhang, Chao Che, Bo Jin, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121855-121855
Closed Access | Times Cited: 14
Automatic disease prediction from human gut metagenomic data using boosting GraphSAGE
K. Syama, J. Angel Arul Jothi, Namita Khanna
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 13
MUSCLE: multi-view and multi-scale attentional feature fusion for microRNA–disease associations prediction
Boya Ji, Haitao Zou, Li‐Wen Xu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 5
SubGE-DDI: A new prediction model for drug-drug interaction established through biomedical texts and drug-pairs knowledge subgraph enhancement
Yiyang Shi, Mingxiu He, Junheng Chen, et al.
PLoS Computational Biology (2024) Vol. 20, Iss. 4, pp. e1011989-e1011989
Open Access | Times Cited: 5
A deep convolutional neural network approach using medical image classification
Mohammad Mousavi, Soodeh Hosseini
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Capturing short-range and long-range dependencies of nucleotides for identifying RNA N6-methyladenosine modification sites
Guodong Li, Bo-Wei Zhao, Xiaorui Su, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109625-109625
Closed Access
MVCL-DTI: Predicting Drug–Target Interactions Using a Multiview Contrastive Learning Model on a Heterogeneous Graph
B. X. Zhang, Lijun Quan, Zhijun Zhang, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Adaptive multi-view learning method for enhanced drug repurposing using chemical-induced transcriptional profiles, knowledge graphs, and large language models
Yudong Yan, Yinqi Yang, Zhuohao Tong, et al.
Journal of Pharmaceutical Analysis (2025), pp. 101275-101275
Open Access
Advancement of artificial intelligence based treatment strategy in type 2 diabetes: A critical update
Aniruddha Sen, P. Mohanraj, Vijaya Laxmi, et al.
Journal of Pharmaceutical Analysis (2025), pp. 101305-101305
Open Access
Boosting Drug-Disease Association Prediction for Drug Repositioning via Dual-Feature Extraction and Cross-Dual-Domain Decoding
Enqiang Zhu, Xiang Li, Chanjuan Liu, et al.
Journal of Chemical Information and Modeling (2025)
Open Access
Connecting the dots: Computational network analysis for disease insight and drug repurposing
Nicoleta Siminea, Eugen Czeizler, Victor Popescu, et al.
Current Opinion in Structural Biology (2024) Vol. 88, pp. 102881-102881
Open Access | Times Cited: 3
Drug target affinity prediction based on multi-scale gated power graph and multi-head linear attention mechanism
Shuo Hu, Jing Hu, Xiaolong Zhang, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0315718-e0315718
Open Access
Prediction of drug target interaction based on under sampling strategy and random forest algorithm
Chen Feng, Zhigang Zhao, Zheng Yi Ren, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0318420-e0318420
Open Access
Application of Machine Learning (ML) approach in discovery of novel drug targets against Leishmania: A computational based approach
Hayat Ali Shah, Sabina Yasmin, Mohammad Yousuf Ansari
Computational Biology and Chemistry (2025) Vol. 117, pp. 108423-108423
Closed Access
Drug-drug interaction prediction based on graph contrastive learning and dual-view fusion
S. Ding, Dongjiang Niu, Mingxuan Li, et al.
Computational Biology and Chemistry (2025), pp. 108426-108426
Closed Access
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