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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:

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

Showing 1-25 of 45 citing articles:

Artificial intelligence in surgery
Chris Varghese, Ewen M. Harrison, Greg O’Grady, et al.
Nature Medicine (2024) Vol. 30, Iss. 5, pp. 1257-1268
Open Access | Times Cited: 43
Digital Pathology: Transforming Diagnosis in the Digital Age
N. K. Kiran, Fnu Sapna, FNU Kiran, et al.
Cureus (2023)
Open Access | Times Cited: 33
AGA Clinical Practice Update on High-Quality Upper Endoscopy: Expert Review
Satish Nagula, Sravanthi Parasa, Loren Laine, et al.
Clinical Gastroenterology and Hepatology (2024) Vol. 22, Iss. 5, pp. 933-943
Open Access | Times Cited: 8
A real-time interpretable artificial intelligence model for the cholangioscopic diagnosis of malignant biliary stricture (with videos)
Xiang Zhang, Dehua Tang, Jindong Zhou, et al.
Gastrointestinal Endoscopy (2023) Vol. 98, Iss. 2, pp. 199-210.e10
Closed Access | Times Cited: 17
Establishment of a novel lysosomal signature for the diagnosis of gastric cancer with in-vitro and in-situ validation
Qi Wang, Ying Liu, Zhangzuo Li, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 17
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
An artificial intelligence system for chronic atrophic gastritis diagnosis and risk stratification under white light endoscopy
Tao Xiao, Yijie Zhu, Zehua Dong, et al.
Digestive and Liver Disease (2024) Vol. 56, Iss. 8, pp. 1319-1326
Closed Access | Times Cited: 6
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
An ensemble approach of deep CNN models with Beta normalization aggregation for gastrointestinal disease detection
Zafran Waheed, Jinsong Gui, Kamran Amjad, et al.
Biomedical Signal Processing and Control (2025) Vol. 105, pp. 107567-107567
Closed Access
Benchmarking Vision Capabilities of Large Language Models in Surgical Examination Questions
Jean‐Paul Bereuter, Mark Enrik Geissler, Anna Klimová, et al.
Journal of surgical education (2025) Vol. 82, Iss. 4, pp. 103442-103442
Open Access
Nanoparticle-based Traditional Chinese Medicine for Immunotherapy in Gastrointestinal Tumors
Linjia Peng, Yan‐Feng Liang, Qiuli Zhang, et al.
Nano Biomedicine and Engineering (2025)
Open Access
Effect of computer aided detection system on esophageal neoplasm diagnosis in varied levels of endoscopists
Bing Li, Yanjun Du, Weimin Tan, et al.
npj Digital Medicine (2025) Vol. 8, Iss. 1
Open Access
Artificial intelligence for gastric cancer in endoscopy: From diagnostic reasoning to market
Carolina Ogawa Matsubayashi, Shuyan Cheng, Ismael Ibrahim Hulchafo, et al.
Digestive and Liver Disease (2024) Vol. 56, Iss. 7, pp. 1156-1163
Closed Access | Times Cited: 4
A deep-learning based system using multi-modal data for diagnosing gastric neoplasms in real-time (with video)
Hongliu Du, Zehua Dong, Lianlian Wu, et al.
Gastric Cancer (2022) Vol. 26, Iss. 2, pp. 275-285
Open Access | Times Cited: 16
Application of artificial intelligence in endoscopic gastrointestinal tumors
Yiping Xin, Qi Zhang, Xinyuan Liu, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 10
Two-Stage Deep Learning Model for Diagnosis of Lumbar Spondylolisthesis Based on Lateral X-Ray Images
Chunyang Xu, Xingyu Liu, Beixi Bao, et al.
World Neurosurgery (2024) Vol. 186, pp. e652-e661
Closed Access | Times Cited: 3
Endoscopic Imaging for the Diagnosis of Neoplastic and Pre-Neoplastic Conditions of the Stomach
Bruno da Costa Martins, Renata Nobre Moura, Angelo So Taa Kum, et al.
Cancers (2023) Vol. 15, Iss. 9, pp. 2445-2445
Open Access | Times Cited: 7
Deep Learning and Gastric Cancer: Systematic Review of AI-Assisted Endoscopy
Eyal Klang, Ali Soroush, Girish N. Nadkarni, et al.
Diagnostics (2023) Vol. 13, Iss. 24, pp. 3613-3613
Open Access | Times Cited: 7
Few-shot learning for the classification of intestinal tuberculosis and Crohn's disease on endoscopic images: A novel learn-to-learn framework
Jiaxi Lin, Shiqi Zhu, Minyue Yin, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26559-e26559
Open Access | Times Cited: 2
Clinically applicable optimized periprosthetic joint infection diagnosis via AI based pathology
Ye Tao, Yazhi Luo, H. M. Hu, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 2
Prospective Evaluation of Real‐Time Artificial Intelligence for the Hill Classification of the Gastroesophageal Junction
Ioannis Kafetzis, Philipp Sodmann, B.-E. Herghelegiu, et al.
United European Gastroenterology Journal (2024)
Open Access | Times Cited: 2
Deep transfer learning from ordinary to capsule esophagogastroduodenoscopy for image quality controlling
Yaqiong Zhang, Kai Zhang, Ying Ding, et al.
Engineering Reports (2023) Vol. 6, Iss. 5
Open Access | Times Cited: 6
Deep learning analysis for differential diagnosis and risk classification of gastrointestinal tumors
Tomohisa Iwai, Mitsuhiro Kida, Kosuke Okuwaki, et al.
Scandinavian Journal of Gastroenterology (2024) Vol. 59, Iss. 8, pp. 925-932
Closed Access | Times Cited: 1
Development and Validation of Deep Learning Models for the Multiclassification of Reflux Esophagitis Based on the Los Angeles Classification
Hailong Ge, Xin Zhou, Yu Wang, et al.
Journal of Healthcare Engineering (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 4
Current status of quality control in screening esophagogastroduodenoscopy and the emerging role of artificial intelligence
Lihui Zhang, Liwen Yao, Zihua Lu, et al.
Digestive Endoscopy (2023) Vol. 36, Iss. 1, pp. 5-15
Open Access | Times Cited: 4
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