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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:

Multi-view contrastive heterogeneous graph attention network for lncRNA–disease association prediction
Xiaosa Zhao, Jun Wu, Xiaowei Zhao, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 20

Showing 20 citing articles:

Predicting noncoding RNA and disease associations using multigraph contrastive learning
Si-Lin Sun, Yi Jiang, Jun-Ping Yang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases
Nan Sheng, Yan Wang, Lan Huang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 5
Closed Access | Times Cited: 24
Graph Attention Networks: A Comprehensive Review of Methods and Applications
Aristidis G. Vrahatis, Konstantinos Lazaros, Sotiris Kotsiantis
Future Internet (2024) Vol. 16, Iss. 9, pp. 318-318
Open Access | Times Cited: 11
Supervised contrastive knowledge graph learning for ncRNA–disease association prediction
Yan Wang, Xuping Xie, Ye Wang, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126257-126257
Closed Access | Times Cited: 1
GEnDDn: An lncRNA–Disease Association Identification Framework Based on Dual-Net Neural Architecture and Deep Neural Network
Lihong Peng, Mengnan Ren, Liangliang Huang, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 2, pp. 418-438
Closed Access | Times Cited: 7
Finding potential lncRNA–disease associations using a boosting-based ensemble learning model
Liqian Zhou, Xinhuai Peng, Lijun Zeng, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 6
A deep learning-driven discovery of berberine derivatives as novel antibacterial against multidrug-resistant Helicobacter pylori
Xixi Guo, Xiaosa Zhao, Xi Lü, et al.
Signal Transduction and Targeted Therapy (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 5
A Dual-View Deep Learning-Driven Discovery of Cinnamoyl Anthranilic Acid Derivatives Against Orthopoxvirus Through Targeting Host Itgb3
Yanxiang Wang, Mengyi Xu, Fan Liu, et al.
(2025)
Closed 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
Applying negative sample denoising and multi-view feature for lncRNA-disease association prediction
Dengju Yao, Bo Zhang, Xiangkui Li, et al.
Frontiers in Genetics (2024) Vol. 14
Open Access | Times Cited: 3
Developing explainable models for lncRNA-Targeted drug discovery using graph autoencoders
Huiying Liu, Xiangzheng Fu, Haiting Chen, et al.
Future Generation Computer Systems (2024) Vol. 160, pp. 29-39
Closed Access | Times Cited: 3
Similarity-guided Graph Contrastive Learning for LncRNA-disease Association Prediction
Qingfeng Chen, Junlai Qiu, Wei Lan, et al.
Journal of Molecular Biology (2024), pp. 168609-168609
Closed Access | Times Cited: 2
A comprehensive review and evaluation of graph neural networks for non-coding RNA and complex disease associations
Xiaowen Hu, Dayun Liu, Jiaxuan Zhang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Closed Access | Times Cited: 4
MNESEDA: A prior-guided subgraph representation learning framework for predicting disease-related enhancers
Jinsheng Xu, Weicheng Sun, Kai Li, et al.
Knowledge-Based Systems (2024) Vol. 294, pp. 111734-111734
Closed Access | Times Cited: 1
Comprehensive database for food-gut microbiota-disease interactions (FGMDI) analysis and dietary recommendation applications
Huiqin Zhang, Jie Zhang, Ling Zhao, et al.
Food Bioscience (2024) Vol. 60, pp. 104091-104091
Closed Access | Times Cited: 1
RSANMDA: Resampling based subview attention network for miRNA-disease association prediction
Longfei Luo, Zhuokun Tan, Shunfang Wang
Methods (2024) Vol. 230, pp. 99-107
Closed 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
Predicting lncRNA–Disease Associations Based on a Dual-Path Feature Extraction Network with Multiple Sources of Information Integration
Dengju Yao, Binbin Zhang, Xiaojuan Zhan, et al.
ACS Omega (2024) Vol. 9, Iss. 32, pp. 35100-35112
Open Access
Semi-supervised heterogeneous graph contrastive learning with label-guided
Chao Li, Guoyi Sun, Xin Li, et al.
Applied Intelligence (2024) Vol. 54, Iss. 20, pp. 10055-10071
Closed Access
Research on employment matching based on artificial intelligence and recommendation algorithm
Y. Xu, Xiugang Li
2022 International Conference on Electronics and Devices, Computational Science (ICEDCS) (2024), pp. 1077-1081
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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