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:
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: 18
Yaqin Tan, Juan Zou, Linai Kuang, et al.
BMC Bioinformatics (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 18
Showing 18 citing articles:
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
Ping Xuan, Jing Gu, Hui Cui, et al.
Bioinformatics (2024) Vol. 40, Iss. 2
Open Access | Times Cited: 6
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
Jing Gu, Tiangang Zhang, Yihang Gao, et al.
Journal of Chemical Information and Modeling (2025) Vol. 65, Iss. 1, pp. 435-445
Closed Access
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
Mingmin Liang, Xianzhi Liu, Juncai Li, et al.
Frontiers in Microbiology (2025) Vol. 15
Open Access
Bi-SGTAR: A simple yet efficient model for circRNA-disease association prediction based on known association pair only
Shiyuan Li, Qingfeng Chen, Zhixian Liu, et al.
Knowledge-Based Systems (2024) Vol. 291, pp. 111622-111622
Closed Access | Times Cited: 5
Shiyuan Li, Qingfeng Chen, Zhixian Liu, et al.
Knowledge-Based Systems (2024) Vol. 291, pp. 111622-111622
Closed Access | Times Cited: 5
A novel microbe-drug association prediction model based on graph attention networks and bilayer random forest
Haiyue Kuang, Zhen Zhang, Bin Zeng, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3
Haiyue Kuang, Zhen Zhang, Bin Zeng, et al.
BMC Bioinformatics (2024) Vol. 25, Iss. 1
Open Access | Times Cited: 3
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: 10
Liu Fan, Lei Wang, Xianyou Zhu
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 10
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
Mingmin Liang, Xianzhi Liu, Qijia Chen, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
OGNNMDA: a computational model for microbe-drug association prediction based on ordered message-passing graph neural networks
Jiabao Zhao, Linai Kuang, An Hu, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 2
Jiabao Zhao, Linai Kuang, An Hu, et al.
Frontiers in Genetics (2024) Vol. 15
Open Access | Times Cited: 2
A computational model for potential microbe–disease association detection based on improved graph convolutional networks and multi-channel autoencoders
Chuyi Zhang, Zhen Zhang, Feng Zhang, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 1
Chuyi Zhang, Zhen Zhang, Feng Zhang, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 1
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
Fan Liu, Xiaoyu Yang, Lei Wang, et al.
Current Bioinformatics (2024) Vol. 19, Iss. 10, pp. 919-932
Closed Access
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
Zinuo Yang, Lei Wang, Xiangrui Zhang, et al.
Frontiers in Microbiology (2024) Vol. 15
Open 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
Bo Wang, Fangjian Ma, Xiaoxin Du, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access
Gating-Enhanced Hierarchical Structure Learning in Hyperbolic Space and Multi-scale Neighbor Topology Learning in Euclidean Space for Prediction of Microbe-Drug Associations
Ping Xuan, Chunhong Guan, Sentao Chen, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access
Ping Xuan, Chunhong Guan, Sentao Chen, et al.
Journal of Chemical Information and Modeling (2024)
Closed Access
GRL-PUL: Predicting microbe-drug association based on graph representation learning and positive unlabeled learning
Junwu Liang, Yuping Sun, Jie Ling
Molecular Omics (2024) Vol. 21, Iss. 1, pp. 38-50
Closed Access
Junwu Liang, Yuping Sun, Jie Ling
Molecular Omics (2024) Vol. 21, Iss. 1, pp. 38-50
Closed Access
CGDGMDA-Net: discovering microbe-disease and drug associations through CTGAN and graph-based deep learning
Anushka Naik, Ishan Patwardhan, Amit Joshi
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
Closed Access
Anushka Naik, Ishan Patwardhan, Amit Joshi
Network Modeling Analysis in Health Informatics and Bioinformatics (2024) Vol. 13, Iss. 1
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
Haiyue Kuang, Xin Liu, Huilin Tan, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
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
Mingmin Liang, Xianzhi Liu, Qijia Chen, et al.
Research Square (Research Square) (2023)
Open Access
MDMD: a computational model for predicting drug-related microbes based on the aggregated metapaths from a heterogeneous network
Jiajie Xing, Xianguo Zhang, Juan Wang
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Jiajie Xing, Xianguo Zhang, Juan Wang
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access