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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:

Generalized matrix factorization based on weighted hypergraph learning for microbe-drug association prediction
Yingjun Ma, Qingquan Liu
Computers in Biology and Medicine (2022) Vol. 145, pp. 105503-105503
Closed Access | Times Cited: 20

Showing 20 citing articles:

NRGCNMDA: Microbe-Drug Association Prediction Based on Residual Graph Convolutional Networks and Conditional Random Fields
Xiaoxin Du, Jingwei Li, Bo Wang, et al.
Interdisciplinary Sciences Computational Life Sciences (2025)
Closed Access
MDSVDNV: predicting microbe–drug associations by singular value decomposition and Node2vec
Huilin Tan, Zhen Zhang, Xin Liu, et al.
Frontiers in Microbiology (2024) Vol. 14
Open Access | Times Cited: 4
Dual graph-embedded fusion network for predicting potential microbe-disease associations with sequence learning
Junlong Wu, Xiaolu Li, Liu Fan, et al.
Frontiers in Genetics (2025) Vol. 16
Open Access
CLMT: graph contrastive learning model for microbe-drug associations prediction with transformer
Xiaolu Li, Junlong Wu, Fan Liu, et al.
Frontiers in Genetics (2025) Vol. 16
Open Access
Kernel Bayesian nonlinear matrix factorization based on variational inference for human–virus protein–protein interaction prediction
Yingjun Ma, Yongbiao Zhao, Yuanyuan Ma
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
DMGL-MDA: A dual-modal graph learning method for microbe-drug association prediction
Bei Zhu, Haoyang Yu, Bing-Xue Du, et al.
Methods (2024) Vol. 222, pp. 51-56
Closed Access | Times Cited: 2
NMGMDA: a computational model for predicting potential microbe–drug associations based on minimize matrix nuclear norm and graph attention network
Mingmin Liang, Xianzhi Liu, Qijia Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Prediction of disease-related miRNAs by voting with multiple classifiers
Changlong Gu, M Kellis
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 6
MLNGCF: circRNA–disease associations prediction with multilayer attention neural graph-based collaborative filtering
Qunzhuo Wu, Zhaohong Deng, Wei Zhang, et al.
Bioinformatics (2023) Vol. 39, Iss. 8
Open Access | Times Cited: 6
A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks
Shuting Jin, Hong Yue, Zeng Li, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 11, pp. e1011597-e1011597
Open Access | Times Cited: 6
Prediction of circRNA-MiRNA Association Using Singular Value Decomposition and Graph Neural Networks
Yurong Qian, Jingjing Zheng, Ying Jiang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 6, pp. 3461-3468
Closed Access | Times Cited: 10
A new integrated framework for the identification of potential virus–drug associations
Jia Qu, Zihao Song, Xiaolong Cheng, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 5
PDDGCN: A Parasitic Disease–Drug Association Predictor Based on Multi-view Fusion Graph Convolutional Network
Xiaosong Wang, Guojun Chen, Hang Hu, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 1, pp. 231-242
Closed Access | Times Cited: 1
Weighted hypergraph learning and adaptive inductive matrix completion for SARS-CoV-2 drug repositioning
Yingjun Ma, Junjiang Zhong, Nenghui Zhu
Methods (2023) Vol. 219, pp. 102-110
Open Access | Times Cited: 4
HGNNLDA: Predicting lncRNA-Drug Sensitivity Associations via a Dual Channel Hypergraph Neural Network
Dayun Liu, Xianghui Li, Liangliang Zhang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 6, pp. 3547-3555
Closed Access | Times Cited: 3
Logistic tensor decomposition with sparse subspace learning for prediction of multiple disease types of human–virus protein–protein interactions
Yingjun Ma, Junjiang Zhong
Briefings in Bioinformatics (2022) Vol. 24, Iss. 1
Closed Access | Times Cited: 5
STNMDA: A Novel Model for Predicting Potential Microbe-Drug Associations with Structure-Aware Transformer
Fan Liu, Xiaoyu Yang, Lei Wang, et al.
Current Bioinformatics (2024) Vol. 19, Iss. 10, pp. 919-932
Closed Access
Prediction of microbe–drug associations based on a modified graph attention variational autoencoder and random forest
Bo Wang, Fangjian Ma, Xiaoxin Du, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access
Kernel Bayesian logistic tensor decomposition with automatic rank determination for predicting multiple types of miRNA-disease associations
Yingjun Ma, Yuanyuan Ma
PLoS Computational Biology (2024) Vol. 20, Iss. 7, pp. e1012287-e1012287
Open Access
NMGMDA: A Computational Model for Predicting Potential Microbe–Drug Associations based on Minimize Matrix Nuclear Norm and Graph Attention Network
Mingmin Liang, Xianzhi Liu, Qijia Chen, et al.
Research Square (Research Square) (2023)
Open Access
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