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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:

Review on predicting pairwise relationships between human microbes, drugs and diseases: from biological data to computational models
Lei Wang, Yaqin Tan, Xiaoyu Yang, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 3
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Identifying disease-related microbes based on multi-scale variational graph autoencoder embedding Wasserstein distance
Huan Zhu, Hongxia Hao, Liang Yu
BMC Biology (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 45
Low Rank Matrix Factorization Algorithm Based on Multi-Graph Regularization for Detecting Drug-Disease Association
Chengwei Ai, Hongpeng Yang, Yijie Ding, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2023) Vol. 20, Iss. 5, pp. 3033-3043
Closed Access | Times Cited: 28
Identification of microbe–disease signed associations via multi-scale variational graph autoencoder based on signed message propagation
Huan Zhu, Hongxia Hao, Liang Yu
BMC Biology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 11
Target Discovery Driven by Chemical Biology and Computational Biology
B J Lyu, Wenfeng Gou, Feifei Xu, et al.
The Chemical Record (2025)
Closed Access | Times Cited: 1
GACNNMDA: a computational model for predicting potential human microbe-drug associations based on graph attention network and CNN-based classifier
Qing Ma, Yaqin Tan, Lei Wang
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 18
metaProbiotics: a tool for mining probiotic from metagenomic binning data based on a language model
Shufang Wu, Tao Feng, Waijiao Tang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 7
A novel microbe-drug association prediction model based on stacked autoencoder with multi-head attention mechanism
Liu Fan, Lei Wang, Xianyou Zhu
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 13
GSAMDA: a computational model for predicting potential microbe–drug associations based on graph attention network and sparse autoencoder
Yaqin Tan, Juan Zou, Linai Kuang, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 21
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
BANNMDA: a computational model for predicting potential microbe–drug associations based on bilinear attention networks and nuclear norm minimization
Mingmin Liang, Xianzhi Liu, Juncai Li, et al.
Frontiers in Microbiology (2025) Vol. 15
Open Access
MPEMDA: A Multi-Similarity Integration Approach with Pre-completion and Error Correction for Predicting Microbe-Drug Associations
Yuxiang Li, Haochen Zhao, Jianxin Wang
Methods (2025)
Closed Access
Metapath Aggregated Graph Neural Network and Tripartite Heterogeneous Networks for Microbe-Disease Prediction
Yali Chen, Xiujuan Lei
Frontiers in Microbiology (2022) Vol. 13
Open Access | Times Cited: 17
Predicting Microbe-Disease Associations Based on a Linear Neighborhood Label Propagation Method with Multi-order Similarity Fusion Learning
Ruibin Chen, Guobo Xie, Zhiyi Lin, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 2, pp. 345-360
Closed Access | Times Cited: 3
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
Computational model for drug research
Xing Chen, Huang Li
Briefings in Bioinformatics (2024) Vol. 25, Iss. 3
Open Access | Times Cited: 2
LCASPMDA: a computational model for predicting potential microbe-drug associations based on learnable graph convolutional attention networks and self-paced iterative sampling ensemble
Zinuo Yang, Lei Wang, Xiangrui Zhang, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 2
Predicting microbe–disease association based on graph autoencoder and inductive matrix completion with multi-similarities fusion
Kai Shi, Kai Huang, Li Lin, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 2
Multi-view Contrastive Learning Hypergraph Neural Network for Drug-Microbe-Disease Association Prediction
L. Liu, Feng Huang, Xuan Liu, et al.
(2023), pp. 4829-4837
Open Access | Times Cited: 5
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
GCGACNN: A Graph Neural Network and Random Forest for Predicting Microbe–Drug Associations
Shujuan Su, Meiling Liu, Jiyun Zhou, et al.
Biomolecules (2024) Vol. 14, Iss. 8, pp. 946-946
Open Access | Times Cited: 1
MSIF-LNP: microbial and human health association prediction based on matrix factorization noise reduction for similarity fusion and bidirectional linear neighborhood label propagation
Hui Xiang, Rong Guo, Li Liu, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 2
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
MEMDA: A Multi-similarity Integration Pre-completion Algorithm with Error Correction for Predicting Microbe-Drug Associations
Yuxiang Li, Haochen Zhao, Jianxin Wang
Lecture notes in computer science (2024), pp. 458-469
Closed Access
GLNNMDA: a multimodal prediction model for microbe-drug associations based on global and local features
Haiyue Kuang, Xin Liu, Huilin Tan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
A Microbe-Drug Association Prediction Model Based on Graph Attention Network and Rotating Forest
Jing Li, Juncai Li, Qijia Chen, et al.
Research Square (Research Square) (2024)
Open Access
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