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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:

A novel deep learning method for predictive modeling of microbiome data
Ye Wang, Tathagata Bhattacharya, Yuchao Jiang, et al.
Briefings in Bioinformatics (2020) Vol. 22, Iss. 3
Closed Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Critical review of 16S rRNA gene sequencing workflow in microbiome studies: From primer selection to advanced data analysis
Alba Regueira‐Iglesias, Carlos Balsa‐Castro, Triana Blanco‐Pintos, et al.
Molecular Oral Microbiology (2023) Vol. 38, Iss. 5, pp. 347-399
Open Access | Times Cited: 33
Deep learning methods in metagenomics: a review
Gaspar Roy, Edi Prifti, Eugeni Belda, et al.
Microbial Genomics (2024) Vol. 10, Iss. 4
Open Access | Times Cited: 8
Application of Machine Learning Algorithm and Artificial Intelligence in Improving Metabolic Syndrome related complications: A review
Joyeta Ghosh, Sudrita Roy Choudhury, Khusboo Singh, et al.
International Journal of Advancement in Life Sciences Research (2024) Vol. 07, Iss. 02, pp. 41-67
Open Access | Times Cited: 7
A new era in healthcare: The integration of artificial intelligence and microbial
Da-Liang Huo, Xiaogang Wang
Medicine in Novel Technology and Devices (2024) Vol. 23, pp. 100319-100319
Open Access | Times Cited: 6
DeepMicroGen: a generative adversarial network-based method for longitudinal microbiome data imputation
Joung Min Choi, Ming Ji, Layne T. Watson, et al.
Bioinformatics (2023) Vol. 39, Iss. 5
Open Access | Times Cited: 15
Application of Deep Learning in Plant–Microbiota Association Analysis
Zhiyu Deng, Jinming Zhang, Junya Li, et al.
Frontiers in Genetics (2021) Vol. 12
Open Access | Times Cited: 30
Benchmark of Data Processing Methods and Machine Learning Models for Gut Microbiome-Based Diagnosis of Inflammatory Bowel Disease
Ryszard Kubinski, Jean-Yves Djamen-Kepaou, Timur Zhanabaev, et al.
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 22
Multi-task deep autoencoder to predict Alzheimer’s disease progression using temporal DNA methylation data in peripheral blood
Li Chen, Andrew J. Saykin, Bing Yao, et al.
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 5761-5774
Open Access | Times Cited: 19
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
Modeling microbiome-trait associations with taxonomy-adaptive neural networks
Yifan Jiang, Matthew Aton, Qiyun Zhu, et al.
Microbiome (2025) Vol. 13, Iss. 1
Open Access
Attack-model-agnostic defense against model poisonings in distributed learning
Hairuo Xu, Tao Shu
Journal of Information Security and Applications (2024) Vol. 82, pp. 103739-103739
Closed Access | Times Cited: 3
DeepBiome: A Phylogenetic Tree Informed Deep Neural Network for Microbiome Data Analysis
Jing Zhai, Youngwon Choi, Xingyi Yang, et al.
Statistics in Biosciences (2024) Vol. 17, Iss. 1, pp. 191-215
Open Access | Times Cited: 3
Lalitha: A Hand Gesture-Based Computer Control System
Tathagata Bhattacharya, Vinay Alsa, Akil Kumar Vujjini
Communications in computer and information science (2025), pp. 138-163
Closed Access
FedSPL: federated self-paced learning for privacy-preserving disease diagnosis
Qingyong Wang, Yun Zhou
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Closed Access | Times Cited: 16
Deep learning for predicting 16S rRNA gene copy number
Jiazheng Miao, Tianlai Chen, Mustafa Mısır, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
MicroHDF: predicting host phenotypes with metagenomic data using a deep forest-based framework
Kai Shi, Qiaohui Liu, Q. Ji, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 6
Open Access | Times Cited: 2
Applications of Machine Learning Models to Predict and Prevent Obesity: A Mini-Review
Xiaobei Zhou, Lei Chen, Hui‐Xin Liu
Frontiers in Nutrition (2022) Vol. 9
Open Access | Times Cited: 8
MKMR: a multi-kernel machine regression model to predict health outcomes using human microbiome data
Bing Li, Tian Wang, Min Qian, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Open Access | Times Cited: 4
Advances in machine learning-based bacteria analysis for forensic identification: identity, ethnicity, and site of occurrence
Geyao Xu, Xianzhuo Teng, Xing‐Hua Gao, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 4
A Distributed Deep Learning Network Based on Data Enhancement for Few-Shot Raman Spectral Classification of Litopenaeus vannamei Pathogens
Chen Ya-nan, Zheng Li, Ming Chen
Applied Sciences (2024) Vol. 14, Iss. 6, pp. 2361-2361
Open Access | Times Cited: 1
Incorporating genome‐based phylogeny and functional similarity into diversity assessments helps to resolve a global collection of human gut metagenomes
Nicholas D. Youngblut, Jacobo de la Cuesta‐Zuluaga, Ruth E. Ley
Environmental Microbiology (2022) Vol. 24, Iss. 9, pp. 3966-3984
Open Access | Times Cited: 7
PM-CNN: Microbiome status recognition and disease detection model based on phylogeny and multi-path neural network
Qiangqiang Wang, Xiaoqian Fan, Shunyao Wu, et al.
Bioinformatics Advances (2024) Vol. 4, Iss. 1
Open Access | Times Cited: 1
DeepGum: Deep feature transfer for gut microbiome analysis using bottleneck models
U. Gülfem Elgün Çiftcioğlu, O. Ufuk Nalbanoglu
Biomedical Signal Processing and Control (2024) Vol. 91, pp. 105984-105984
Closed Access | Times Cited: 1
Compare the performance of multiple binary classification models in microbial high-throughput sequencing datasets
Nuohan Xu, Zhenyan Zhang, Yechao Shen, et al.
The Science of The Total Environment (2022) Vol. 837, pp. 155807-155807
Closed Access | Times Cited: 5
Development of predictive modeling and deep learning classification of taxi trip tolls
Suhad Al-Shoukry, Bushra Jaber M. Jawad, Zalili Musa, et al.
Eastern-European Journal of Enterprise Technologies (2022) Vol. 3, Iss. 3 (117), pp. 6-12
Open Access | Times Cited: 5
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