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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:

Machine learning and deep learning applications in microbiome research
Ricardo Hernández Medina, Svetlana Kutuzova, K Nielsen, et al.
ISME Communications (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 138

Showing 1-25 of 138 citing articles:

EasyAmplicon: An easy‐to‐use, open‐source, reproducible, and community‐based pipeline for amplicon data analysis in microbiome research
Yongxin Liu, Lei Chen, Tengfei Ma, et al.
iMeta (2023) Vol. 2, Iss. 1
Open Access | Times Cited: 127
Effects of Probiotics on Gut Microbiota: An Overview
Preethi Chandrasekaran, Sabine Weiskirchen, Ralf Weiskirchen
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 11, pp. 6022-6022
Open Access | Times Cited: 42
Harnessing the plant microbiome for sustainable crop production
Stéphane Compant, Fabricio Cassán, Tanja Kostić, et al.
Nature Reviews Microbiology (2024)
Closed Access | Times Cited: 37
Broadening oncological boundaries: the intratumoral microbiota
Ying‐Qi Lu, Han Qiao, Xi-Rong Tan, et al.
Trends in Microbiology (2024) Vol. 32, Iss. 8, pp. 807-822
Open Access | Times Cited: 17
Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections: A Systematic Review
Buket Baddal, Ferdiye Taner, Dilber Uzun Ozsahin
Diagnostics (2024) Vol. 14, Iss. 5, pp. 484-484
Open Access | Times Cited: 17
A comprehensive overview of microbiome data in the light of machine learning applications: categorization, accessibility, and future directions
Bablu Kumar, Erika Lorusso, Bruno Fosso, et al.
Frontiers in Microbiology (2024) Vol. 15
Open Access | Times Cited: 16
Beneficial microorganisms: Regulating growth and defense for plant welfare
Yan Liu, Aiqin Shi, Yue Chen, et al.
Plant Biotechnology Journal (2024)
Open Access | Times Cited: 15
Recent advances in deep learning and language models for studying the microbiome
Binghao Yan, Yunbi Nam, Lingyao Li, et al.
Frontiers in Genetics (2025) Vol. 15
Open Access | Times Cited: 2
Evolving approaches to profiling the microbiome in skin disease
Yang Chen, Rob Knight, Richard L. Gallo
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 30
How to Provide Nitrite Robustly for Anaerobic Ammonium Oxidation in Mainstream Nitrogen Removal
Kaichong Wang, Li Jia, Xin Gu, et al.
Environmental Science & Technology (2023) Vol. 57, Iss. 51, pp. 21503-21526
Closed Access | Times Cited: 27
Ecology of the respiratory tract microbiome
Ana Elena Pérez‐Cobas, Jerónimo Rodríguez-Beltrán, Fernando Baquero, et al.
Trends in Microbiology (2023) Vol. 31, Iss. 9, pp. 972-984
Closed Access | Times Cited: 22
A robust microbiome signature for autism spectrum disorder across different studies using machine learning
Lucía N. Peralta Marzal, David Rojas-Velázquez, Douwe Rigters, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
Deciphering the gut microbiome: The revolution of artificial intelligence in microbiota analysis and intervention
Mohammad Abavisani, Alireza Khoshrou, Sobhan Karbas Foroushan, et al.
Current Research in Biotechnology (2024) Vol. 7, pp. 100211-100211
Open Access | Times Cited: 12
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
Synergizing Artificial Intelligence and Probiotics: A Comprehensive Review of Emerging Applications in Health Promotion and Industrial Innovation
Xin Han, Q. D. Liu, Yun Li, et al.
Trends in Food Science & Technology (2025), pp. 104938-104938
Closed Access | Times Cited: 1
Perspective on the development of synthetic microbial community (SynCom) biosensors
Jing Yuan, Kankan Zhao, Xiangfeng Tan, et al.
Trends in biotechnology (2023) Vol. 41, Iss. 10, pp. 1227-1236
Open Access | Times Cited: 20
Targeting the gut microbiome to control drug pharmacomicrobiomics: the next frontier in oral drug delivery
Srinivas Kamath, Andrea M. Stringer, Clive A. Prestidge, et al.
Expert Opinion on Drug Delivery (2023) Vol. 20, Iss. 10, pp. 1315-1331
Closed Access | Times Cited: 20
Unraveling plant–microbe interactions: can integrated omics approaches offer concrete answers?
Roy Njoroge Kimotho, Solomon Maina
Journal of Experimental Botany (2023) Vol. 75, Iss. 5, pp. 1289-1313
Open Access | Times Cited: 20
Fast detection of bacterial gut pathogens on miniaturized devices: an overview
Graţiela Grădişteanu Pîrcălăbioru, Mina Răileanu, Mihai Viorel Dionisie, et al.
Expert Review of Molecular Diagnostics (2024) Vol. 24, Iss. 3, pp. 201-218
Open Access | Times Cited: 7
Human Gut Microbiota for Diagnosis and Treatment of Depression
Olga V. Averina, Е. У. Полуэктова, Yana Zorkina, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 11, pp. 5782-5782
Open Access | Times Cited: 7
A systematic discussion and comparison of the construction methods of synthetic microbial community
Chenglong Li, Yanfeng Han, Xiao Zou, et al.
Synthetic and Systems Biotechnology (2024) Vol. 9, Iss. 4, pp. 775-783
Open Access | Times Cited: 7
Implementation of artificial intelligence (AI) and machine learning (ML) in microbiology
Prashant Tripathi, Akanksha Srivastava, Chetan Kumar Dubey, et al.
Methods in microbiology (2024), pp. 29-41
Closed Access | Times Cited: 7
An artificial intelligence approach of feature engineering and ensemble methods depicts the rumen microbiome contribution to feed efficiency in dairy cows
H.F. Monteiro, C.C. Figueiredo, B. Mion, et al.
Animal Microbiome (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 6
Agricultural practices influence soil microbiome assembly and interactions at different depths identified by machine learning
Yujie Mo, Raven L. Bier, Xiaolin Li, et al.
Communications Biology (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 6
The Underrated Gut Microbiota Helminths, Bacteriophages, Fungi, and Archaea
María-José García-Bonete, A. Rajan, Francesco Suriano, et al.
Life (2023) Vol. 13, Iss. 8, pp. 1765-1765
Open Access | Times Cited: 15
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