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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.

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Showing 1-25 of 119 citing articles:

Randomized Clinical Trials of Machine Learning Interventions in Health Care
Deborah Plana, Dennis Shung, Alyssa Grimshaw, et al.
JAMA Network Open (2022) Vol. 5, Iss. 9, pp. e2233946-e2233946
Open Access | Times Cited: 142
Application of artificial intelligence for improving early detection and prediction of therapeutic outcomes for gastric cancer in the era of precision oncology
Zhe Wang, Yang Liu, Xing Niu
Seminars in Cancer Biology (2023) Vol. 93, pp. 83-96
Closed Access | Times Cited: 41
Preliminary Evidence of the Use of Generative AI in Health Care Clinical Services: Systematic Narrative Review
Dobin Yim, Jiban Khuntia, Vijaya Parameswaran, et al.
JMIR Medical Informatics (2024) Vol. 12, pp. e52073-e52073
Open Access | Times Cited: 28
Effect of a deep learning-based system on the miss rate of gastric neoplasms during upper gastrointestinal endoscopy: a single-centre, tandem, randomised controlled trial
Lianlian Wu, Renduo Shang, Prateek Sharma, et al.
˜The œLancet. Gastroenterology & hepatology (2021) Vol. 6, Iss. 9, pp. 700-708
Closed Access | Times Cited: 85
Deep learning system compared with expert endoscopists in predicting early gastric cancer and its invasion depth and differentiation status (with videos)
Lianlian Wu, Jing Wang, Xinqi He, et al.
Gastrointestinal Endoscopy (2021) Vol. 95, Iss. 1, pp. 92-104.e3
Closed Access | Times Cited: 59
Randomized Controlled Trials of Artificial Intelligence in Clinical Practice: Systematic Review
Thomas Y. Lam, Max FK Cheung, Yasmin Lynda Munro, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 8, pp. e37188-e37188
Open Access | Times Cited: 58
Improving bowel preparation for colonoscopy with a smartphone application driven by artificial intelligence
Yan Zhu, Danfeng Zhang, Huili Wu, et al.
npj Digital Medicine (2023) Vol. 6, Iss. 1
Open Access | Times Cited: 25
The value of machine learning approaches in the diagnosis of early gastric cancer: a systematic review and meta-analysis
Yiheng Shi, Haohan Fan, Li Li, et al.
World Journal of Surgical Oncology (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 11
Early gastric cancer detection and lesion segmentation based on deep learning and gastroscopic images
Kezhi Zhang, Haibao Wang, Yaru Cheng, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 11
Concordance of randomised controlled trials for artificial intelligence interventions with the CONSORT-AI reporting guidelines
Alexander P. L. Martindale, Carrie Llewellyn, Richard de Visser, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 10
Artificial intelligence-assisted diagnosis of early gastric cancer: present practice and future prospects
Changda Lei, Wenqiang Sun, Kun Wang, et al.
Annals of Medicine (2025) Vol. 57, Iss. 1
Open Access | Times Cited: 1
Artificial Intelligence in Gastrointestinal Cancer Research: Image Learning Advances and Applications
Shengyuan Zhou, Yi Xie, Xujiao Feng, et al.
Cancer Letters (2025) Vol. 614, pp. 217555-217555
Closed Access | Times Cited: 1
Real-time artificial intelligence for detecting focal lesions and diagnosing neoplasms of the stomach by white-light endoscopy (with videos)
Lianlian Wu, Ming Xu, Xiaoda Jiang, et al.
Gastrointestinal Endoscopy (2021) Vol. 95, Iss. 2, pp. 269-280.e6
Closed Access | Times Cited: 51
Artificial Intelligence and Deep Learning for Upper Gastrointestinal Neoplasia
Prateek Sharma, Cesare Hassan
Gastroenterology (2021) Vol. 162, Iss. 4, pp. 1056-1066
Open Access | Times Cited: 45
Anatomical sites identification in both ordinary and capsule gastroduodenoscopy via deep learning
Kai Zhang, Yaqiong Zhang, Ying Ding, et al.
Biomedical Signal Processing and Control (2024) Vol. 90, pp. 105911-105911
Closed Access | Times Cited: 7
Artificial Intelligence, Lymphoid Neoplasms, and Prediction of MYC, BCL2, and BCL6 Gene Expression Using a Pan-Cancer Panel in Diffuse Large B-Cell Lymphoma
Joaquim Carreras, Naoya Nakamura
Hemato (2024) Vol. 5, Iss. 2, pp. 119-143
Open Access | Times Cited: 6
Real-time use of artificial intelligence for diagnosing early gastric cancer by magnifying image-enhanced endoscopy: a multicenter diagnostic study (with videos)
Xinqi He, Lianlian Wu, Zehua Dong, et al.
Gastrointestinal Endoscopy (2021) Vol. 95, Iss. 4, pp. 671-678.e4
Closed Access | Times Cited: 38
An artificial intelligence system for distinguishing between gastrointestinal stromal tumors and leiomyomas using endoscopic ultrasonography
Xintian Yang, Han Wang, Qian Dong, et al.
Endoscopy (2021) Vol. 54, Iss. 03, pp. 251-261
Closed Access | Times Cited: 34
Quality indicators in esophagogastroduodenoscopy
Sang Yoon Kim, Jae Myung Park
Clinical Endoscopy (2022) Vol. 55, Iss. 3, pp. 319-331
Open Access | Times Cited: 24
Artificial Intelligence for Upper Gastrointestinal Endoscopy: A Roadmap from Technology Development to Clinical Practice
Francesco Renna, Miguel L. Martins, Alexandre Neto, et al.
Diagnostics (2022) Vol. 12, Iss. 5, pp. 1278-1278
Open Access | Times Cited: 24
Artificial Intelligence in Digestive Endoscopy—Where Are We and Where Are We Going?
Radu-Alexandru Vulpoi, Mihaela Luca, Adrian Ciobanu, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 927-927
Open Access | Times Cited: 23
Artificial intelligence in gastrointestinal cancers: diagnostic, prognostic, and surgical strategies
Ganji Purnachandra Nagaraju, T A Sandhya, Mundla Srilatha, et al.
Cancer Letters (2025) Vol. 612, pp. 217461-217461
Closed Access
The development and ex-vivo evaluation of a computer-aided quality control system for Barrett’s esophagus endoscopy
Martijn R. Jong, Tim J. M. Jaspers, Rixta A. H. van Eijck van Heslinga, et al.
Endoscopy (2025)
Open Access
A deep-learning based system for diagnosing multitype gastric lesions under white-light endoscopy
Qi Luo, Xianglei Yuan, Weiping Liu, et al.
Chinese Medical Journal (2025)
Open Access
Transparency and Representation in Clinical Research Utilizing Artificial Intelligence in Oncology: A Scoping Review
Anjali D'Amiano, Tia Cheunkarndee, Chinenye C. Azoba, et al.
Cancer Medicine (2025) Vol. 14, Iss. 5
Open Access
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