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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:

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

Showing 14 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
Drug discovery and mechanism prediction with explainable graph neural networks
Conghao Wang, G. Rai, Jagath C. Rajapakse
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
Herb-disease association prediction model based on network consistency projection
Lei Chen, Shiyi Zhang, Bo Zhou
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Inter-view contrastive learning and miRNA fusion for lncRNA-protein interaction prediction in heterogeneous graphs
Yijun Mao, Jiale Wu, Jian Weng, et al.
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
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
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: 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
A Survey on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide
Sun-Woo Kim, Soo Y. Lee, Yue Gao, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6534-6544
Open Access | Times Cited: 2
Forecasting the molecular interactions: A hypergraph-based neural network for molecular relational learning
Wenbin Ye, Quan Qian
Knowledge-Based Systems (2024) Vol. 300, pp. 112177-112177
Closed Access | Times Cited: 1
Explainable drug repurposing via path based knowledge graph completion
Ana Jiménez, María José Merino, Juan Parras, et al.
Scientific Reports (2024) Vol. 14, 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
Home Monitoring Tools to Support Tracking Patients with Cardio–Cerebrovascular Diseases: Scientometric Review
Elisabeth Restrepo-Parra, Paola Ariza-Colpas, Laura Valentina Torres-Bonilla, et al.
IoT (2024) Vol. 5, Iss. 3, pp. 524-559
Open Access | Times Cited: 1
The integration of machine learning into traditional Chinese medicine
Yanfeng Hong, Sisi Zhu, Yuhong Liu, et al.
Journal of Pharmaceutical Analysis (2024), pp. 101157-101157
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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