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:

Investigation of trends in gut microbiome associated with colorectal cancer using machine learning
Chaoran Yu, Zhiyuan Zhou, Bin Liu, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 6

Showing 6 citing articles:

Machine learning to predict gut microbiomes of agricultural pests
Md Jobayer, Alexander Taylor, Md Rakibul Hasan, et al.
Neural Computing and Applications (2025)
Closed Access

Enhanced automatic diagnosis of cecum colorectal cancer using novel artificial neural network on abdominal CT radiological scans
Ibrahim Ali Al-Sulaiman, Mohammed Sallah, Ghada A. Khouqeer, et al.
Journal of Radiation Research and Applied Sciences (2025) Vol. 18, Iss. 2, pp. 101358-101358
Closed Access

The global research of microbiota in colorectal cancer screening: a bibliometric and visualization analysis
Junhai Zhen, Chuan Liu, Fei Liao, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 2

Machine Learning to Predict Gut Microbiomes of Agricultural Pests
Md Jobayer, Alexander Taylor, Md Rakibul Hasan, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

CCPred: Global and population-specific colorectal cancer prediction and metagenomic biomarker identification at different molecular levels using machine learning techniques
Burcu Bakır-Güngör, Mustafa Temiz, Yasin İnal, et al.
Computers in Biology and Medicine (2024) Vol. 182, pp. 109098-109098
Closed Access

Investigating the Effect of Different Machine Learning Algorithms on Text Classification Outcomes
Mudasir Manzoor Kirmani, Razauddin, Bechoo Lal, et al.
(2023), pp. 1-6
Closed Access

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