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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:

Similarity measures-based graph co-contrastive learning for drug–disease association prediction
Zihao Gao, Huifang Ma, Xiaohui Zhang, et al.
Bioinformatics (2023) Vol. 39, Iss. 6
Open Access | Times Cited: 23

Showing 23 citing articles:

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
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
Multi-view discriminative edge heterophily contrastive learning network for attributed graph anomaly detection
Wangyu Jin, Huifang Ma, Yingyue Zhang, et al.
Expert Systems with Applications (2024) Vol. 255, pp. 124460-124460
Closed Access | Times Cited: 4
Automatic collaborative learning for drug repositioning
Yi Wang, Yajie Meng, Chang Sheng Zhou, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109653-109653
Closed Access | Times Cited: 4
CDPMF-DDA: contrastive deep probabilistic matrix factorization for drug-disease association prediction
Xianfang Tang, Yawen Hou, Yajie Meng, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
KGRDR: a deep learning model based on knowledge graph and graph regularized integration for drug repositioning
Huimin Luo, Hui Yang, Ge Zhang, et al.
Frontiers in Pharmacology (2025) Vol. 16
Open Access
Dual-view graph-of-graph representation learning with graph transformer for graph-level anomaly detection
Wangyu Jin, Huifang Ma, Yingyue Zhang, et al.
Neural Networks (2025) Vol. 187, pp. 107291-107291
Closed Access
HNF-DDA: subgraph contrastive-driven transformer-style heterogeneous network embedding for drug–disease association prediction
Yifan Shang, Zixu Wang, Yangyang Chen, et al.
BMC Biology (2025) Vol. 23, Iss. 1
Open Access
Unraveling Disease-Associated PIWI-Interacting RNAs with a Contrastive Learning Methods
Xiao-Wen Hu, Hao Sun, L.Y. Shan, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Sequential Contrastive and Deep Learning Models to Identify Selective Butyrylcholinesterase Inhibitors
Mustafa Kemal Ozalp, Patricia A. Vignaux, Ana C. Puhl, et al.
Journal of Chemical Information and Modeling (2024) Vol. 64, Iss. 8, pp. 3161-3172
Closed Access | Times Cited: 2
Advancing cancer driver gene detection via Schur complement graph augmentation and independent subspace feature extraction
Xinqian Ma, Zhen Li, Zhenya Du, et al.
Computers in Biology and Medicine (2024) Vol. 174, pp. 108484-108484
Closed Access | Times Cited: 2
Irisin alleviated the reproductive endocrinal disorders of PCOS mice accompanied by changes in gut microbiota and metabolomic characteristics
Meina Yang, Hongxia Deng, Siyu Zhou, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 2
Co-guided Dual-channel Graph Neural Networks for the prediction of compound-protein interaction
Zheyu Wu, Huifang Ma, Bin Deng, et al.
Applied Soft Computing (2024) Vol. 163, pp. 111875-111875
Closed Access | Times Cited: 2
Breaking the Entanglement of Homophily and Heterophily in Semi-supervised Node Classification
Henan Sun, Xunkai Li, Zhengyu Wu, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 2379-2392
Open Access | Times Cited: 1
HNCGAT: a method for predicting plant metabolite–protein interaction using heterogeneous neighbor contrastive graph attention network
Xi Zhou, Jing Yang, Yin Luo, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 1
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
Heterogeneous graph contrastive learning with gradient balance for drug repositioning
Hai Cui, Meiyu Duan, Haijia Bi, et al.
Briefings in Bioinformatics (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 1
DGCL: A Contrastive Learning Method for Predicting Cancer Driver Genes Based on Graph Diffusion
Wei Peng, Zhengnan Zhou, Wei Dai, et al.
Lecture notes in computer science (2024), pp. 350-359
Closed Access
Crucial rather than random: Attacking crucial substructure for backdoor attacks on graph neural networks
Haibin Tong, Huifang Ma, Hui Shen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 136, pp. 108966-108966
Closed Access
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity
Xunkai Li, Zhengyu Wu, Wentao Zhang, et al.
2022 IEEE 38th International Conference on Data Engineering (ICDE) (2024), pp. 2517-2530
Open Access
Dual-Channel Dual-Scale Interactive Learning for the Prediction of Compound-Protein Interaction
Zheyu Wu, Huifang Ma, Bin Deng, et al.
Lecture notes in computer science (2024), pp. 155-171
Closed Access
Key Substructure-Driven Backdoor Attacks on Graph Neural Networks
Haibin Tong, Huifang Ma, Hui Shen, et al.
Lecture notes in computer science (2024), pp. 159-174
Closed Access
CLPiDA: A Contrastive Learning Approach for Predicting Potential PiRNA-Disease Associations
Xiaowen Hu, Yuanpeng Zhang, Jiaxuan Zhang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023) Vol. 33, pp. 159-164
Closed Access | Times Cited: 1
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