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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:

Heterogeneous graph attention network based on meta-paths for lncRNA–disease association prediction
Xiaosa Zhao, Xiaowei Zhao, Minghao Yin
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 53

Showing 1-25 of 53 citing articles:

BioSeq-Diabolo: Biological sequence similarity analysis using Diabolo
Hongliang Li, Bin Liu
PLoS Computational Biology (2023) Vol. 19, Iss. 6, pp. e1011214-e1011214
Open Access | Times Cited: 59
Node-adaptive graph Transformer with structural encoding for accurate and robust lncRNA-disease association prediction
Guanghui Li, Peihao Bai, Liang Cheng, et al.
BMC Genomics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 16
Inferring transcription factor regulatory networks from single-cell ATAC-seq data based on graph neural networks
Hao Li, Yu Sun, Hao Hong, et al.
Nature Machine Intelligence (2022) Vol. 4, Iss. 4, pp. 389-400
Closed Access | Times Cited: 45
Data resources and computational methods for lncRNA-disease association prediction
Nan Sheng, Lan Huang, Yuting Lu, et al.
Computers in Biology and Medicine (2023) Vol. 153, pp. 106527-106527
Open Access | Times Cited: 24
LDA-VGHB: identifying potential lncRNA–disease associations with singular value decomposition, variational graph auto-encoder and heterogeneous Newton boosting machine
Lihong Peng, Liangliang Huang, Qiongli Su, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open 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: 10
LncRNA Expression Profile-Based Matrix Factorization for Predicting lncRNA- Disease Association
Jihwan Ha
IEEE Access (2024) Vol. 12, pp. 70297-70304
Open Access | Times Cited: 8
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
LDAformer: predicting lncRNA-disease associations based on topological feature extraction and Transformer encoder
Zhou Yi, Xinyi Wang, Yao Lin, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 31
Meta-path guided graph attention network for explainable herb recommendation
Yuanyuan Jin, Wendi Ji, Yao Shi, et al.
Health Information Science and Systems (2023) Vol. 11, Iss. 1
Open Access | Times Cited: 18
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
Prediction of lncRNA and disease associations based on residual graph convolutional networks with attention mechanism
Sheng‐Chang Wang, Jiaqing Qiao, Shou Feng
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 5
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
MDFGNN-SMMA: prediction of potential small molecule-miRNA associations based on multi-source data fusion and graph neural networks
Jianwei Li, X Zhang, Bing Li, et al.
BMC Bioinformatics (2025) Vol. 26, Iss. 1
Open Access
High-order graph convolutional networks for circular Ribonucleic Acid and disease association prediction incorporating multiple biological relationships
Hao Liu, Chen Chen, Xiaoyi Lv, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 146, pp. 110303-110303
Closed Access
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
Deep Learning Approaches for lncRNA-Mediated Mechanisms: A Comprehensive Review of Recent Developments
Yoojoong Kim, Minhyeok Lee
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 12, pp. 10299-10299
Open Access | Times Cited: 12
A Brief Survey of Deep Learning-based Models for CircRNA-Protein Binding Sites Prediction
Zhen Shen, Lin Yuan, Wenzheng Bao, et al.
Neurocomputing (2025), pp. 129637-129637
Open Access
Association prediction of lncRNAs and diseases using multiview graph convolution neural network
Wei Zhang, Yifu Zeng, Xiaowen Xiang, et al.
Frontiers in Genetics (2025) Vol. 16
Open Access
Graph Neural Network with Self-Supervised Learning for Noncoding RNA–Drug Resistance Association Prediction
Jingjing Zheng, Yurong Qian, Jié He, et al.
Journal of Chemical Information and Modeling (2022) Vol. 62, Iss. 15, pp. 3676-3684
Closed Access | Times Cited: 16
Predicting lncRNA-disease associations using multiple metapaths in hierarchical graph attention networks
Dengju Yao, Yuexiao Deng, Xiaojuan Zhan, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3
Frontiers and Challenges of Computing ncRNAs Biogenesis, Function and Modulation
Silvia Rinaldi, Elisabetta Moroni, Riccardo Rozza, et al.
Journal of Chemical Theory and Computation (2024) Vol. 20, Iss. 3, pp. 993-1018
Closed 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
MHADTI: predicting drug–target interactions via multiview heterogeneous information network embedding with hierarchical attention mechanisms
Zhen Tian, Xiangyu Peng, Haichuan Fang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 15
LncRNA-disease association identification using graph auto-encoder and learning to rank
Liang Qi, Wenxiang Zhang, Hao Wu, et al.
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Open Access | Times Cited: 15
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