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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 potential microbe–disease associations based on multi-source features and deep learning
Liugen Wang, Yan Wang, Chenxu Xuan, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Closed Access | Times Cited: 18

Showing 18 citing articles:

Circular RNAs in the KRAS pathway: Emerging players in cancer progression
Md Sadique Hussain, Ehssan Moglad, Muhammad Afzal, et al.
Pathology - Research and Practice (2024) Vol. 256, pp. 155259-155259
Closed Access | Times Cited: 12
Machine learning technique-based four-autoantibody test for early detection of esophageal squamous cell carcinoma: a multicenter, retrospective study with a nested case–control study
Yi‐Wei Xu, Yu‐Hui Peng, Can-Tong Liu, et al.
BMC Medicine (2025) Vol. 23, Iss. 1
Open Access | Times Cited: 1
Deep learning in microbiome analysis: a comprehensive review of neural network models
Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín‐Segura, et al.
Frontiers in Microbiology (2025) Vol. 15
Open Access
Ensemble learning based on matrix completion improves microbe-disease association prediction
Hailin Chen, Kuan Chen
Briefings in Bioinformatics (2025) Vol. 26, Iss. 2
Open Access
CFDSAEDDA: A Collaborative Filtering and Deep Sparse Autoencoder Neural Network Method for Inferring Drug-Disease Associations
Van Tinh Nguyen, Minh Nhat Vu, Thi Bich Thuy Ngo, et al.
Lecture notes in networks and systems (2025), pp. 695-708
Closed Access
Predicting potential microbe–disease associations based on dual branch graph convolutional network
Jing Chen, Yongjun Zhu, Qun Yuan
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 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
M3HOGAT: A Multi-View Multi-Modal Multi-Scale High-Order Graph Attention Network for Microbe-Disease Association Prediction
Shuang Wang, Jin‐Xing Liu, Feng Li, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 10, pp. 6259-6267
Closed Access | Times Cited: 1
ANS‐SCMC: A matrix completion method based on adaptive neighbourhood similarity and sparse constraints for predicting microbe‐disease associations
Haoran Wen, Xue Zhong, Lieqing Lin, et al.
Journal of Cellular and Molecular Medicine (2024) Vol. 28, Iss. 18
Open Access | Times Cited: 1
Predicting abiotic stress-responsive miRNA in plants based on multi-source features fusion and graph neural network
Liming Chang, Xiu Jin, Yuan Rao, et al.
Plant Methods (2024) Vol. 20, Iss. 1
Open Access | Times Cited: 1
MNESEDA: A prior-guided subgraph representation learning framework for predicting disease-related enhancers
Jinsheng Xu, Weicheng Sun, Kai Li, et al.
Knowledge-Based Systems (2024) Vol. 294, pp. 111734-111734
Closed Access | Times Cited: 1
Textual analysis and credit scoring: a new matrix factorization approach
Bingjie Dong, Ying Zhou, Xia Sun, et al.
Journal of the Operational Research Society (2024), pp. 1-15
Closed Access | Times Cited: 1
Predicting disease-associated microbes based on similarity fusion and deep learning
Hailin Chen, Kuan Chen
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 1
Predicting potential microbe-disease associations based on auto-encoder and graph convolution network
Shanghui Lu, Yong Liang, Le Li, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Multi-View Multiattention Graph Learning With Stack Deep Matrix Factorization for circRNA-Drug Sensitivity Association Identification
Ning Ai, Haoliang Yuan, Yong Liang, et al.
IEEE Journal of Biomedical and Health Informatics (2024) Vol. 28, Iss. 12, pp. 7670-7682
Closed Access
Multi-Scale Information Fusion and Decoupled Representation Learning for Robust Microbe-Disease Interaction Prediction
Wentao Wang, Qin Yan, Qingquan Liao, et al.
Journal of Pharmaceutical Analysis (2024), pp. 101134-101134
Open Access
CFMKGATDDA: A NEW COLLABORATIVE FILTERING AND MULTIPLE KERNEL GRAPH ATTENTION NETWORK-BASED METHOD FOR PREDICTING DRUG-DISEASE ASSOCIATIONS
Van Tinh Nguyen, Duc Huy Vu, Thi Thu Trang Pham, et al.
Intelligence-Based Medicine (2024), pp. 100194-100194
Open Access
A survey on multi-view fusion for predicting links in biomedical bipartite networks: Methods and applications
Yuqing Qian, Yizheng Wang, Junkai Liu, et al.
Information Fusion (2024), pp. 102894-102894
Closed Access
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