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 for Risk Prediction of Oesophago-Gastric Cancer in Primary Care: Comparison with Existing Risk-Assessment Tools
Emma Briggs, Marc de Kamps, William Hamilton, et al.
Cancers (2022) Vol. 14, Iss. 20, pp. 5023-5023
Open Access | Times Cited: 13

Showing 13 citing articles:

A machine learning tool for identifying non-metastatic colorectal cancer in primary care
Elinor Nemlander, Marcela Ewing, Eliya Abedi, et al.
European Journal of Cancer (2023) Vol. 182, pp. 100-106
Open Access | Times Cited: 18

Distinct clinical phenotypes in gastric pathologies: a cluster analysis of demographic and biomarker profiles in a diverse patient population
Neda Gorjizadeh, Arvin Arani, Seyed Amir Miratashi Yazdi, et al.
Journal of Gastrointestinal Surgery (2025), pp. 101956-101956
Closed Access

A machine learning tool for identifying metastatic colorectal cancer in primary care
Eliya Abedi, Marcela Ewing, Elinor Nemlander, et al.
Scandinavian Journal of Primary Health Care (2025), pp. 1-9
Open Access

Decision Tree Approaches to Select High Risk Patients for Lung Cancer Screening Based on the UK Primary Care Data
Teena Rai, Yuan Shen, Jaspreet Kaur, et al.
Lecture notes in computer science (2023), pp. 35-39
Closed Access | Times Cited: 7

Risk of Gastric Adenocarcinoma in a Multiethnic Population Undergoing Routine Care: An Electronic Health Records Cohort Study
Robert J. Huang, Edward S. Huang, Satish Mudiganti, et al.
Cancer Epidemiology Biomarkers & Prevention (2024) Vol. 33, Iss. 4, pp. 547-556
Closed Access | Times Cited: 1

Ethical and legal implications of implementing risk algorithms for early detection and screening for oesophageal cancer, now and in the future
Tanya Brigden, Colin Mitchell, Elizabeth Redrup Hill, et al.
PLoS ONE (2023) Vol. 18, Iss. 10, pp. e0293576-e0293576
Open Access | Times Cited: 3

Challenges involved in the application of artificial intelligence in gastroenterology: The race is on!
Chrysanthos D. Christou, Georgios Tsoulfas
World Journal of Gastroenterology (2023) Vol. 29, Iss. 48, pp. 6168-6178
Open Access | Times Cited: 3

Transforming early cancer detection in primary care: harnessing the power of machine learning
Elinor Nemlander, Marcela Ewing, Axel C. Carlsson, et al.
Oncoscience (2023) Vol. 10, pp. 20-21
Open Access | Times Cited: 2

Impact of artificial intelligence in the management of esophageal, gastric and colorectal malignancies
Ayrton Bangolo, Nikita Wadhwani, Vignesh Krishnan Nagesh, et al.
Artificial Intelligence in Gastrointestinal Endoscopy (2024) Vol. 5, Iss. 2
Open Access

A generalized AI method for pathology cancer diagnosis and prognosis prediction based on transfer learning and hierarchical split
Pengzhi Yin, Zehao Zhou, Jingze Liu, et al.
Physics in Medicine and Biology (2023) Vol. 68, Iss. 17, pp. 175039-175039
Closed Access

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