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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:

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: 17

Showing 17 citing articles:

Exploring the role of topological descriptors to predict physicochemical properties of anti-HIV drugs by using supervised machine learning algorithms
Wakeel Ahmed, Shahid Zaman, Eizzah Asif, et al.
BMC Chemistry (2024) Vol. 18, Iss. 1
Open Access | Times Cited: 9
DeepWalk-Based Graph Embeddings for miRNA–Disease Association Prediction Using Deep Neural Network
Jihwan Ha
Biomedicines (2025) Vol. 13, Iss. 3, pp. 536-536
Open Access
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
An improved data augmentation approach and its application in medical named entity recognition
Hongyu Chen, Dan Li, Yonghe Lu, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Drug repurposing for Parkinson’s disease by biological pathway based edge-weighted network proximity analysis
Manyoung Han, Seunghwan Jung, Doheon Lee
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Collaborative weighting in federated graph neural networks for disease classification with the human-in-the-loop
Christian Hausleitner, Heimo Mueller, Andreas Holzinger, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Drug repurposing based on the DTD-GNN graph neural network: revealing the relationships among drugs, targets and diseases
Wenjun Li, Wanjun Ma, Mengyun Yang, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 2
MvGraphDTA: multi-view-based graph deep model for drug-target affinity prediction by introducing the graphs and line graphs
Xin Zeng, Kai-Yang Zhong, Pei-Yan Meng, et al.
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 2
Exploring potential circRNA biomarkers for cancers based on double-line heterogeneous graph representation learning
Yi Zhang, ZhenMei Wang, Hanyan Wei, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
Drug–target interaction prediction through fine-grained selection and bidirectional random walk methodology
Yaping Wang, Zhixiang Yin
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Advancing miRNA cancer research through artificial intelligence: from biomarker discovery to therapeutic targeting
Raghu Aswathy, Vicky Chalos, Kanagaraj Suganya, et al.
Medical Oncology (2024) Vol. 42, Iss. 1
Closed Access | Times Cited: 1
GGANet: A Model for the Prediction of MiRNA-Drug Resistance Based on Contrastive Learning and Global Attention
Zimai Zhang, Bo-Wei Zhao, Yu‐An Huang, et al.
Lecture notes in computer science (2024), pp. 263-275
Closed Access
Comparative evaluation of feature reduction methods for drug response prediction
Farzaneh Firoozbakht, Behnam Yousefi, Olga Tsoy, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Crossfeat: a transformer-based cross-feature learning model for predicting drug side effect frequency
Bin Baek, Hyunju Lee
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access
Sex differences and testosterone interfere with the structure of the gut microbiota through the bile acid signaling pathway
Xueqing Duan, You-Qi Nie, Xin Xie, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access
A multi-task prediction method based on neighborhood structure embedding and signed graph representation learning to infer the relationship between circRNA, miRNA, and cancer
Lan Huang, Xin-Fei Wang, Yan Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
CFMKGATDDA: A NEW COLLABORATIVE FILTERING AND MULTIPLE KERNEL GRAPH ATTENTION NETWORK-BASED METHOD FOR PREDICTING DRUG-DISEASE ASSOCIATIONS
Van Tinh Nguyen, Duc Huy Vu, Thi Thu Trang Pham, et al.
Intelligence-Based Medicine (2024), pp. 100194-100194
Open Access
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