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:
Predicting miRNA-disease associations based on graph attention network with multi-source information
Guanghui Li, Tao Fang, Yuejin Zhang, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 29
Guanghui Li, Tao Fang, Yuejin Zhang, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 29
Showing 1-25 of 29 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
Si-Lin Sun, Yi Jiang, Jun-Ping Yang, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Ada-STGMAT: An adaptive spatio-temporal graph multi-attention network for intelligent time series forecasting in smart cities
Xuebo Jin, Hui-Jun Ma, Jingyi Xie, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126428-126428
Closed Access | Times Cited: 2
Xuebo Jin, Hui-Jun Ma, Jingyi Xie, et al.
Expert Systems with Applications (2025) Vol. 269, pp. 126428-126428
Closed Access | Times Cited: 2
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
Aristidis G. Vrahatis, Konstantinos Lazaros, Sotiris Kotsiantis
Future Internet (2024) Vol. 16, Iss. 9, pp. 318-318
Open Access | Times Cited: 11
A model with deep analysis on a large drug network for drug classification
Chenhao Wu, Lei Chen
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 1, pp. 383-401
Open Access | Times Cited: 31
Chenhao Wu, Lei Chen
Mathematical Biosciences & Engineering (2022) Vol. 20, Iss. 1, pp. 383-401
Open Access | Times Cited: 31
MGCNSS: miRNA–disease association prediction with multi-layer graph convolution and distance-based negative sample selection strategy
Zhen Tian, Chenguang Han, Lewen Xu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 5
Zhen Tian, Chenguang Han, Lewen Xu, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 5
Subgraph Topology and Dynamic Graph Topology Enhanced Graph Learning and Pairwise Feature Context Relationship Integration for Predicting Disease-Related miRNAs
Ping Xuan, Xiaoying Qi, Sentao Chen, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
Ping Xuan, Xiaoying Qi, Sentao Chen, et al.
Journal of Chemical Information and Modeling (2025)
Closed Access
MFF-nDA: A Computational Model for ncRNA–Disease Association Prediction Based on Multimodule Fusion
Zhihao Guan, Xiu Jin, Xiaodan Zhang
Journal of Chemical Information and Modeling (2025)
Closed Access
Zhihao Guan, Xiu Jin, Xiaodan Zhang
Journal of Chemical Information and Modeling (2025)
Closed Access
GONNMDA: A Ordered Message Passing GNN Approach for miRNA–Disease Association Prediction
Sihao Zeng, Shanwen Zhang, Zhen Wang, et al.
Genes (2025) Vol. 16, Iss. 4, pp. 425-425
Open Access
Sihao Zeng, Shanwen Zhang, Zhen Wang, et al.
Genes (2025) Vol. 16, Iss. 4, pp. 425-425
Open Access
Graph neural networks for multi-view learning: a taxonomic review
Shunxin Xiao, Jiacheng Li, Jielong Lu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 3
Shunxin Xiao, Jiacheng Li, Jielong Lu, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 3
PCDA-HNMP: Predicting circRNA-disease association using heterogeneous network and meta-path
Lei Chen, Xiaoyu Zhao
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 12, pp. 20553-20575
Open Access | Times Cited: 9
Lei Chen, Xiaoyu Zhao
Mathematical Biosciences & Engineering (2023) Vol. 20, Iss. 12, pp. 20553-20575
Open Access | Times Cited: 9
Machine learning in the development of targeting microRNAs in human disease
Yuxun Luo, Peng Li, Wenyu Shan, et al.
Frontiers in Genetics (2023) Vol. 13
Open Access | Times Cited: 8
Yuxun Luo, Peng Li, Wenyu Shan, et al.
Frontiers in Genetics (2023) Vol. 13
Open Access | Times Cited: 8
SSGCN: a sampling sequential guided graph convolutional network
Xiaoxiao Wang, Xibei Yang, Pingxin Wang, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 5, pp. 2023-2038
Closed Access | Times Cited: 8
Xiaoxiao Wang, Xibei Yang, Pingxin Wang, et al.
International Journal of Machine Learning and Cybernetics (2023) Vol. 15, Iss. 5, pp. 2023-2038
Closed Access | Times Cited: 8
V-GMR: a variational autoencoder-based heterogeneous graph multi-behavior recommendation model
Haoqin Yang, Ran Rang, Linlin Xing, et al.
Applied Intelligence (2024) Vol. 54, Iss. 4, pp. 3337-3350
Closed Access | Times Cited: 2
Haoqin Yang, Ran Rang, Linlin Xing, et al.
Applied Intelligence (2024) Vol. 54, Iss. 4, pp. 3337-3350
Closed Access | Times Cited: 2
SGAEMDA: Predicting miRNA-Disease Associations Based on Stacked Graph Autoencoder
Shudong Wang, Boyang Lin, Yuanyuan Zhang, et al.
Cells (2022) Vol. 11, Iss. 24, pp. 3984-3984
Open Access | Times Cited: 10
Shudong Wang, Boyang Lin, Yuanyuan Zhang, et al.
Cells (2022) Vol. 11, Iss. 24, pp. 3984-3984
Open Access | Times Cited: 10
GDCL-NcDA: identifying non-coding RNA-disease associations via contrastive learning between deep graph learning and deep matrix factorization
Ning Ai, Yong Liang, Haoliang Yuan, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 6
Ning Ai, Yong Liang, Haoliang Yuan, et al.
BMC Genomics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 6
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
Xiaowen Hu, Dayun Liu, Jiaxuan Zhang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 6
Closed Access | Times Cited: 4
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
Longfei Luo, Zhuokun Tan, Shunfang Wang
Methods (2024) Vol. 230, pp. 99-107
Closed Access | Times Cited: 1
DCSGMDA: A dual-channel convolutional model based on stacked deep learning collaborative gradient decomposition for predicting miRNA-disease associations
Xu Cao, Pengli Lu
Computational Biology and Chemistry (2024) Vol. 113, pp. 108201-108201
Closed Access | Times Cited: 1
Xu Cao, Pengli Lu
Computational Biology and Chemistry (2024) Vol. 113, pp. 108201-108201
Closed Access | Times Cited: 1
DAEMDA: A Method with Dual-Channel Attention Encoding for miRNA–Disease Association Prediction
Benzhi Dong, Weidong Sun, Dali Xu, et al.
Biomolecules (2023) Vol. 13, Iss. 10, pp. 1514-1514
Open Access | Times Cited: 3
Benzhi Dong, Weidong Sun, Dali Xu, et al.
Biomolecules (2023) Vol. 13, Iss. 10, pp. 1514-1514
Open Access | Times Cited: 3
Predicting potential microbe-disease associations based on auto-encoder and graph convolution network
Shanghui Lu, Yong Liang, Le Li, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Shanghui Lu, Yong Liang, Le Li, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 3
DNI-MDCAP: improvement of causal MiRNA-disease association prediction based on deep network imputation
Yu Han, Qiong Zhou, Leibo Liu, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access
Yu Han, Qiong Zhou, Leibo Liu, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access
A method for miRNA diffusion association prediction using machine learning decoding of multi-level heterogeneous graph Transformer encoded representations
SiJian Wen, YinBo Liu, Guang Yang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
SiJian Wen, YinBo Liu, Guang Yang, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Prediction of miRNA-disease association based on multisource inductive matrix completion
Yawei Wang, Zhixiang Yin
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
Yawei Wang, Zhixiang Yin
Scientific Reports (2024) Vol. 14, Iss. 1
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
Van Tinh Nguyen, Duc Huy Vu, Thi Thu Trang Pham, et al.
Intelligence-Based Medicine (2024), pp. 100194-100194
Open Access
A survey on multi-view fusion for predicting links in biomedical bipartite networks: Methods and applications
Yuqing Qian, Yizheng Wang, Junkai Liu, et al.
Information Fusion (2024), pp. 102894-102894
Closed Access
Yuqing Qian, Yizheng Wang, Junkai Liu, et al.
Information Fusion (2024), pp. 102894-102894
Closed Access
