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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:

Predicting human microbe–drug associations via graph convolutional network with conditional random field
Yahui Long, Min Wu, Chee Keong Kwoh, et al.
Bioinformatics (2020) Vol. 36, Iss. 19, pp. 4918-4927
Open Access | Times Cited: 119

Showing 1-25 of 119 citing articles:

Graph Neural Networks and Their Current Applications in Bioinformatics
Xiaomeng Zhang, Liang Li, Lin Liu, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 214
Predicting the potential human lncRNA–miRNA interactions based on graph convolution network with conditional random field
Wenya Wang, Li Zhang, Jianqiang Sun, et al.
Briefings in Bioinformatics (2022) Vol. 23, Iss. 6
Closed Access | Times Cited: 186
Association predictions of genomics, proteinomics, transcriptomics, microbiome, metabolomics, pathomics, radiomics, drug, symptoms, environment factor, and disease networks: A comprehensive approach
Yi Pan, Xiujuan Lei, Yuchen Zhang
Medicinal Research Reviews (2021) Vol. 42, Iss. 1, pp. 441-461
Closed Access | Times Cited: 56
Pre-training graph neural networks for link prediction in biomedical networks
Yahui Long, Min Wu, Yong Liu, et al.
Bioinformatics (2022) Vol. 38, Iss. 8, pp. 2254-2262
Open Access | Times Cited: 54
Machine learning for data integration in human gut microbiome
Peishun Li, Hao Luo, Boyang Ji, et al.
Microbial Cell Factories (2022) Vol. 21, Iss. 1
Open Access | Times Cited: 53
Joint deep autoencoder and subgraph augmentation for inferring microbial responses to drugs
Zhecheng Zhou, Linlin Zhuo, Xiangzheng Fu, et al.
Briefings in Bioinformatics (2023) Vol. 25, Iss. 1
Open Access | Times Cited: 24
Recent advances in network-based methods for disease gene prediction
Sezin Kircali Ata, Min Wu, Yuan Fang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 4
Open Access | Times Cited: 69
Graph2MDA: a multi-modal variational graph embedding model for predicting microbe–drug associations
Lei Deng, Yibiao Huang, Xuejun Liu, et al.
Bioinformatics (2021) Vol. 38, Iss. 4, pp. 1118-1125
Open Access | Times Cited: 46
GCRFLDA: scoring lncRNA-disease associations using graph convolution matrix completion with conditional random field
Yongxian Fan, Meijun Chen, Xiaoyong Pan
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 44
Network traffic analysis through node behaviour classification: a graph-based approach with temporal dissection and data-level preprocessing
Francesco Zola, Lander Segurola-Gil, Jan L. Bruse, et al.
Computers & Security (2022) Vol. 115, pp. 102632-102632
Open Access | Times Cited: 35
Predicting microbe–drug associations with structure-enhanced contrastive learning and self-paced negative sampling strategy
Zhen Tian, Yue Yu, Haichuan Fang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 21
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
Collaborative deep learning improves disease-related circRNA prediction based on multi-source functional information
Yongtian Wang, Xinmeng Liu, Yewei Shen, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 2
Closed Access | Times Cited: 18
Multi-scale topology and position feature learning and relationship-aware graph reasoning for prediction of drug-related microbes
Ping Xuan, Jing Gu, Hui Cui, et al.
Bioinformatics (2024) Vol. 40, Iss. 2
Open Access | Times Cited: 6
Sparse graph cascade multi-kernel fusion contrastive learning for microbe–disease association prediction
Shengpeng Yu, Hong Wang, Meifang Hua, et al.
Expert Systems with Applications (2024) Vol. 252, pp. 124092-124092
Closed Access | Times Cited: 6
Drug-target interaction predictions with multi-view similarity network fusion strategy and deep interactive attention mechanism
Wei Song, Lewen Xu, Chenguang Han, et al.
Bioinformatics (2024) Vol. 40, Iss. 6
Open Access | Times Cited: 6
Graph contextualized attention network for predicting synthetic lethality in human cancers
Yahui Long, Min Wu, Yong Liu, et al.
Bioinformatics (2021) Vol. 37, Iss. 16, pp. 2432-2440
Open Access | Times Cited: 37
Inferring human microbe–drug associations via multiple kernel fusion on graph neural network
Hongpeng Yang, Yijie Ding, Jijun Tang, et al.
Knowledge-Based Systems (2021) Vol. 238, pp. 107888-107888
Closed Access | Times Cited: 35
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
DeepMNE: Deep Multi-Network Embedding for lncRNA-Disease Association Prediction
Yingjun Ma
IEEE Journal of Biomedical and Health Informatics (2022) Vol. 26, Iss. 7, pp. 3539-3549
Closed Access | Times Cited: 24
Predicting circRNA-drug sensitivity associations via graph attention auto-encoder
Lei Deng, Zixuan Liu, Yurong Qian, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 24
Fusing logic rule-based hybrid variable graph neural network approaches to fault diagnosis of industrial processes
Yin Min, Jince Li, Yilin Shi, et al.
Expert Systems with Applications (2023) Vol. 238, pp. 121753-121753
Closed Access | Times Cited: 14
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
Neighborhood Topology-Aware Knowledge Graph Learning and Microbial Preference Inferring for Drug-Microbe Association Prediction
Jing Gu, Tiangang Zhang, Yihang Gao, et al.
Journal of Chemical Information and Modeling (2025) Vol. 65, Iss. 1, pp. 435-445
Closed 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
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