Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Improving the identification of miRNA–disease associations with multi-task learning on gene–disease networks
Qiang He, Wei Qiao, Hui Fang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 16

Showing 16 citing articles:

A Survey of Deep Learning for Detecting miRNA- Disease Associations: Databases, Computational Methods, Challenges, and Future Directions
Nan Sheng, Xuping Xie, Yan Wang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) Vol. 21, Iss. 3, pp. 328-347
Closed Access | Times Cited: 9
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
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
Gene-related multi-network collaborative deep feature learning for predicting miRNA-disease associations
Pengli Lu, Xu Cao
Computers & Electrical Engineering (2025) Vol. 123, pp. 110242-110242
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
AE-RW: Predicting miRNA-disease associations by using autoencoder and random walk on miRNA-gene-disease heterogeneous network
Pengli Lu, Jicheng Jiang
Computational Biology and Chemistry (2024) Vol. 110, pp. 108085-108085
Closed Access | Times Cited: 3
DGAMDA: Predicting miRNA‐disease association based on dynamic graph attention network
Changxin Jia, Fuyu Wang, Baoxiang Xing, et al.
International Journal for Numerical Methods in Biomedical Engineering (2024) Vol. 40, Iss. 5
Closed Access | Times Cited: 1
Hybrid Genetic Algorithm and CMA-ES Optimization for RNN-Based Chemical Compound Classification
Zhenkai Guo, Dianlong Hou, Qiang He
Mathematics (2024) Vol. 12, Iss. 11, pp. 1684-1684
Open 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
Global-local aware Heterogeneous Graph Contrastive Learning for multifaceted association prediction in miRNA–gene–disease networks
Yuxuan Si, Zihan Huang, Zhengqing Fang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 5
Open Access | Times Cited: 1
MDformer: A transformer-based method for predicting miRNA-Disease associations using multi-source feature fusion and maximal meta-path instances encoding
Benzhi Dong, Weidong Sun, Dali Xu, et al.
Computers in Biology and Medicine (2023) Vol. 167, pp. 107585-107585
Closed Access | Times Cited: 2
Three-layer heterogeneous network based on the integration of CircRNA information for MiRNA-disease association prediction
Jia Qu, Shuting Liu, Han Li, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2070-e2070
Open Access
Transformer-Based Joint Classification Network for Diabetic Retinopathy and Diabetic Macular Edema
Z. Li, Wang Ye, Lin Wang
(2024), pp. 488-492
Closed Access
A Deep Metric Learning Based Method for Predicting MiRNA-Disease Associations
Nguyen-Phuc-Xuan Quynh, Hoai-Nhan Tran, Cheng Yan, et al.
Lecture notes in computer science (2024), pp. 262-273
Closed Access
Heterogenous biological network multi-task learning model for ncRNA-disease-drug association prediction
Yongna Yuan, Jiahui Liu, Xiaohang Pan, et al.
Knowledge-Based Systems (2024) Vol. 300, pp. 112222-112222
Closed Access
DeepCheck: multitask learning aids in assessing microbial genome quality
Wei Guo, Nannan Wu, Kunyang Zhao, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access
Page 1

Scroll to top