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:

Inflammatory bowel disease biomarkers of human gut microbiota selected via different feature selection methods
Burcu Bakır-Güngör, Hilal Hacılar, Amhar Jabeer, et al.
PeerJ (2022) Vol. 10, pp. e13205-e13205
Open Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Review of feature selection approaches based on grouping of features
Cihan Kuzudisli, Burcu Bakır-Güngör, Nurten Bulut, et al.
PeerJ (2023) Vol. 11, pp. e15666-e15666
Open Access | Times Cited: 29

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

How Diet and Lifestyle Can Fine-Tune Gut Microbiomes for Healthy Aging
María Tamayo, Maitane Olivares, Patricia Ruas‐Madiedo, et al.
Annual Review of Food Science and Technology (2024) Vol. 15, Iss. 1, pp. 283-305
Closed Access | Times Cited: 6

Role of artificial intelligence in studying metagenomics of microbes: Decoding the microbial sphere
Raheela Waheed, Farah Deeba, Iqra Arooj, et al.
Methods in microbiology (2025)
Closed Access

Prediction of colorectal cancer based on taxonomic levels of microorganisms and discovery of taxonomic biomarkers using the Grouping-Scoring-Modeling (G-S-M) approach
Burcu Bakır-Güngör, Mustafa Temiz, Beyza Canakcimaksutoglu, et al.
Computers in Biology and Medicine (2025) Vol. 187, pp. 109813-109813
Closed Access

Integrating Biological Domain Knowledge with Machine Learning for Identifying Colorectal-Cancer-Associated Microbial Enzymes in Metagenomic Data
Burcu Bakır-Güngör, Nur Şebnem Ersöz, Malik Yousef
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 2940-2940
Open Access

Discovering Potential Taxonomic Biomarkers of Type 2 Diabetes From Human Gut Microbiota via Different Feature Selection Methods
Burcu Bakır-Güngör, Osman Bulut, Amhar Jabeer, et al.
Frontiers in Microbiology (2021) Vol. 12
Open Access | Times Cited: 27

SFS-AGGL: Semi-Supervised Feature Selection Integrating Adaptive Graph with Global and Local Information
Yugen Yi, Haoming Zhang, Ningyi Zhang, et al.
Information (2024) Vol. 15, Iss. 1, pp. 57-57
Open Access | Times Cited: 4

Identification of useful genes from multiple microarrays for ulcerative colitis diagnosis based on machine learning methods
Lin Zhang, Rui Mao, Chung Tai Lau, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 17

Integrating ADMET, enrichment analysis, and molecular docking approach to elucidate the mechanism of Artemisia herba alba for the treatment of inflammatory bowel disease-associated arthritis
Hicham Wahnou, Fouzia Hmimid, Ahmed Errami, et al.
Journal of Toxicology and Environmental Health (2024) Vol. 87, Iss. 20, pp. 836-854
Closed Access | Times Cited: 3

A toolbox of machine learning software to support microbiome analysis
Laura Judith Marcos-Zambrano, Víctor Manuel López-Molina, Burcu Bakır-Güngör, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 8

microBiomeGSM: the identification of taxonomic biomarkers from metagenomic data using grouping, scoring and modeling (G-S-M) approach
Burcu Bakır-Güngör, Mustafa Temiz, Amhar Jabeer, et al.
Frontiers in Microbiology (2023) Vol. 14
Open Access | Times Cited: 6

PSO-Based Evolutionary Approach to Optimize Head and Neck Biomedical Image to Detect Mesothelioma Cancer
Sheeba Praveen, Neha Tyagi, Bhagwant Singh, et al.
BioMed Research International (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 10

Integrating artificial intelligence in exploring multiscale gut microbiota and diet relations for health promotion: A comprehensive review
Zixin Yang, Jinlin Zhu, Wenwei Lu, et al.
Food Bioscience (2024) Vol. 61, pp. 104541-104541
Closed Access | Times Cited: 1

Integrating machine learning and bioinformatics approaches for identifying novel diagnostic gene biomarkers in colorectal cancer
Ayoub Vaziri-Moghadam, Mohammad-Hadi Foroughmand-Araabi
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1

Machine learning–based feature selection to search stable microbial biomarkers: application to inflammatory bowel disease
Youngro Lee, Marco Cappellato, Barbara Di Camillo
GigaScience (2022) Vol. 12
Open Access | Times Cited: 6

Results and lessons learned from the sbv IMPROVER metagenomics diagnostics for inflammatory bowel disease challenge
Lusine Khachatryan, Yang Xiang, A. B. Ivanov, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 3

From-Toilet-to-Freezer: A Review on Requirements for an Automatic Protocol to Collect and Store Human Fecal Samples for Research Purposes
Frances Widjaja, Ivonne M.C.M. Rietjens
Biomedicines (2023) Vol. 11, Iss. 10, pp. 2658-2658
Open Access | Times Cited: 3

Compositional Data Analysis of 16S rRNA Gene Sequencing Results from Hospital Airborne Microbiome Samples
M. R. Perrone, Salvatore Romano, Giuseppe De Maria, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 16, pp. 10107-10107
Open Access | Times Cited: 3

Susceptibility to febrile malaria is associated with an inflammatory gut microbiome
Nathan W. Schmidt, Kristin Van Den Ham, Layne Bower, et al.
Research Square (Research Square) (2024)
Open Access

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