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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:

Accuracy of artificial intelligence–assisted detection of upper GI lesions: a systematic review and meta-analysis
Ka Luen Lui, Vivien Tsui, Wai K. Leung
Gastrointestinal Endoscopy (2020) Vol. 92, Iss. 4, pp. 821-830.e9
Closed Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

Expected value of artificial intelligence in gastrointestinal endoscopy: European Society of Gastrointestinal Endoscopy (ESGE) Position Statement
Helmut Messmann, Raf Bisschops, Giulio Antonelli, et al.
Endoscopy (2022) Vol. 54, Iss. 12, pp. 1211-1231
Open Access | Times Cited: 80
Diagnosis and management of Barrett esophagus: European Society of Gastrointestinal Endoscopy (ESGE) Guideline
Bas L. Weusten, Raf Bisschops, Mário Dinis‐Ribeiro, et al.
Endoscopy (2023) Vol. 55, Iss. 12, pp. 1124-1146
Open Access | Times Cited: 68
Quality assessment standards in artificial intelligence diagnostic accuracy systematic reviews: a meta-research study
Shruti Jayakumar, Viknesh Sounderajah, Pasha Normahani, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 62
Systematic review with meta‐analysis: artificial intelligence in the diagnosis of oesophageal diseases
Pierfrancesco Visaggi, Brigida Barberio, Darío Gregori, et al.
Alimentary Pharmacology & Therapeutics (2022) Vol. 55, Iss. 5, pp. 528-540
Open Access | Times Cited: 45
Biomarkers for Early Detection, Prognosis, and Therapeutics of Esophageal Cancers
Vikrant Rai, Joe Abdo, Devendra K. Agrawal
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 4, pp. 3316-3316
Open Access | Times Cited: 23
Computer-aided diagnosis of esophageal cancer and neoplasms in endoscopic images: a systematic review and meta-analysis of diagnostic test accuracy
Chang Seok Bang, Jae Jun Lee, Gwang Ho Baik
Gastrointestinal Endoscopy (2020) Vol. 93, Iss. 5, pp. 1006-1015.e13
Open Access | Times Cited: 62
Capsule endoscopy – Recent developments and future directions
Stefania Chetcuti Zammit, Reena Sidhu
Expert Review of Gastroenterology & Hepatology (2020) Vol. 15, Iss. 2, pp. 127-137
Open Access | Times Cited: 56
Modern Diagnosis of Early Esophageal Cancer: From Blood Biomarkers to Advanced Endoscopy and Artificial Intelligence
Pierfrancesco Visaggi, Brigida Barberio, Matteo Ghisa, et al.
Cancers (2021) Vol. 13, Iss. 13, pp. 3162-3162
Open Access | Times Cited: 49
Automated colorectal polyp detection based on image enhancement and dual-path CNN architecture
J. S. Nisha, Varun P. Gopi, P. Palanisamy
Biomedical Signal Processing and Control (2021) Vol. 73, pp. 103465-103465
Closed Access | Times Cited: 43
Artificial intelligence and its impact on the domains of universal health coverage, health emergencies and health promotion: An overview of systematic reviews
Antonio Martínez-Millana, Aida Saez-Saez, Roberto Tornero-Costa, et al.
International Journal of Medical Informatics (2022) Vol. 166, pp. 104855-104855
Open Access | Times Cited: 36
Assessing the influence of artificial intelligence on agri-food supply chain performance: the mediating effect of distribution network efficiency
El Mehdi El Bhilat, Asmae El Jaouhari, Lalla Saadia HAMIDI
Technological Forecasting and Social Change (2023) Vol. 200, pp. 123149-123149
Closed Access | Times Cited: 21
Artificial Intelligence in the Diagnosis of Upper Gastrointestinal Diseases
Pierfrancesco Visaggi, Nicola de Bortoli, Brigida Barberio, et al.
Journal of Clinical Gastroenterology (2021) Vol. 56, Iss. 1, pp. 23-35
Open Access | Times Cited: 35
Identification of gastric cancer with convolutional neural networks: a systematic review
Yuxue Zhao, Bo Hu, Ying Wang, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 8, pp. 11717-11736
Open Access | Times Cited: 26
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
Prevalence of Helicobacter pylori infection in the general population in Wuzhou, China: a cross-sectional study
Yan Liu, Qiliang He, Xiaohong Peng, et al.
Infectious Agents and Cancer (2025) Vol. 20, Iss. 1
Open Access
Integration of AI in Barrett’s Esophagus Clinical Practice: A New Way Forward
Justin Buttar, Hyun Jae Kim, Michael F. Byrne, et al.
AI in Precision Oncology (2025) Vol. 2, Iss. 1, pp. 19-32
Closed Access
Artificial Intelligence Performance in Image-Based Cancer Identification: Umbrella Review of Systematic Reviews
Haishan Xu, Ting‐Ting Gong, Xin‐Jian Song, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e53567-e53567
Open Access
Artificial Intelligence–Assisted Endoscopic Diagnosis System for Diagnosing Helicobacter Pylori Infection: A Multicenter Study
Yue Hu, Jianwei Xu, Liang Huang, et al.
(2025)
Closed Access
Diagnostic performance of AI-assisted endoscopy diagnosis of digestive system tumors: an umbrella review
Chun-Rong Huang, Yue Song, Jianfei Dong, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Accuracy of artificial intelligence‐assisted detection of esophageal cancer and neoplasms on endoscopic images: A systematic review and meta‐analysis
Si Min Zhang, Yong Jun Wang, Shu Tian Zhang
Journal of Digestive Diseases (2021) Vol. 22, Iss. 6, pp. 318-328
Open Access | Times Cited: 32
Artificial Intelligence for Detecting and Delineating Margins of Early ESCC Under WLI Endoscopy
Wei Liu, Xianglei Yuan, Linjie Guo, et al.
Clinical and Translational Gastroenterology (2022) Vol. 13, Iss. 1, pp. e00433-e00433
Open Access | Times Cited: 20
Deep Learning for the Diagnosis of Esophageal Cancer in Endoscopic Images: A Systematic Review and Meta-Analysis
Md. Mohaimenul Islam, Tahmina Nasrin Poly, Bruno Walther, et al.
Cancers (2022) Vol. 14, Iss. 23, pp. 5996-5996
Open Access | Times Cited: 19
Role of artificial intelligence in diagnosing Barrett’s esophagus-related neoplasia
M. Meinikheim, Helmut Messmann, Alanna Ebigbo
Clinical Endoscopy (2023) Vol. 56, Iss. 1, pp. 14-22
Open Access | Times Cited: 11
Artificial intelligence in pancreatic cancer: diagnosis, limitations, and the future prospects—a narrative review
Maanya Rajasree Katta, Pavan Kumar Reddy Kalluru, Divyaraj Amber Bavishi, et al.
Journal of Cancer Research and Clinical Oncology (2023) Vol. 149, Iss. 9, pp. 6743-6751
Closed Access | Times Cited: 11
Application of Artificial Intelligence in Measuring Novel pH-Impedance Metrics for Optimal Diagnosis of GERD
Ming‐Wun Wong, Benjamin D. Rogers, Min‐Xiang Liu, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 960-960
Open Access | Times Cited: 11
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