Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Standalone performance of artificial intelligence for upper GI neoplasia: a meta-analysis
Julia Arribas, Giulio Antonelli, Leonardo Frazzoni, et al.
Gut (2020) Vol. 70, Iss. 8, pp. 1458-1468
Closed Access | Times Cited: 70

Showing 1-25 of 70 citing articles:

Impact of Artificial Intelligence on Miss Rate of Colorectal Neoplasia
Michael B. Wallace, Prateek Sharma, Pradeep Bhandari, et al.
Gastroenterology (2022) Vol. 163, Iss. 1, pp. 295-304.e5
Open Access | Times Cited: 175
Artificial intelligence and colonoscopy experience: lessons from two randomised trials
Alessandro Repici, Marco Spadaccini, Giulio Antonelli, et al.
Gut (2021) Vol. 71, Iss. 4, pp. 757-765
Closed Access | Times Cited: 163
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
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
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
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
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
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
QUAIDE - Quality assessment of AI preclinical studies in diagnostic endoscopy
Giulio Antonelli, Diogo Libânio, Albert J. de Groof, et al.
Gut (2024) Vol. 74, Iss. 1, pp. 153-161
Closed Access | Times Cited: 5
Screening for and surveillance of premalignant conditions of the stomach
Irina Luzko, Leticia Moreira, Jan Bornschein
Best Practice & Research Clinical Gastroenterology (2025), pp. 101978-101978
Open Access
Artificial intelligence for computer assistance in endoscopic procedures and training
Pablo Achurra, Domingo Mery, Arnoldo Riquelme, et al.
Global Surgical Education - Journal of the Association for Surgical Education (2025) Vol. 4, Iss. 1
Closed Access
Role of Artificial Intelligence in the Detection and Management of Premalignant and Malignant Lesions of the Esophagus and Stomach
Piyush Nathani, Prateek Sharma
Gastrointestinal Endoscopy Clinics of North America (2025) Vol. 35, Iss. 2, pp. 319-353
Closed Access
Ösophagus im Visier der künstlichen Intelligenz
L. Birzle, Alanna Ebigbo
Deleted Journal (2025)
Closed Access
Management of epithelial precancerous conditions and early neoplasia of the stomach (MAPS III): European Society of Gastrointestinal Endoscopy (ESGE), European Helicobacter and Microbiota Study Group (EHMSG) and European Society of Pathology (ESP) Guideline update 2025
Mário Dinis‐Ribeiro, Diogo Libânio, Hugo Uchima, et al.
Endoscopy (2025)
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
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
Early diagnosis of gastric cancer: Endoscopy and artificial intelligence
Nádia Gonçalves, Jorge Chaves, Inês Marques de Sá, et al.
Best Practice & Research Clinical Gastroenterology (2025), pp. 101979-101979
Closed Access
Methodological and reporting quality of machine learning studies on cancer diagnosis, treatment, and prognosis
Aref Smiley, David Villarreal‐Zegarra, C. Mahony Reátegui-Rivera, et al.
Frontiers in Oncology (2025) Vol. 15
Open Access
Applications of Artificial Intelligence for the Diagnosis of Gastrointestinal Diseases
Silvia Pecere, Sebastian Manuel Milluzzo, Gianluca Esposito, et al.
Diagnostics (2021) Vol. 11, Iss. 9, pp. 1575-1575
Open Access | Times Cited: 23
Diagnostic accuracy of convolutional neural network–based endoscopic image analysis in diagnosing gastric cancer and predicting its invasion depth: a systematic review and meta-analysis
Fang Xie, Keqiang Zhang, Feng Li, et al.
Gastrointestinal Endoscopy (2021) Vol. 95, Iss. 4, pp. 599-609.e7
Closed Access | Times Cited: 23
The present and future of gastroenterology and hepatology: an international SWOT analysis (the GASTROSWOT project)
Enrique de‐Madaria, José Joaquín Mira, Irene Carrillo, et al.
˜The œLancet. Gastroenterology & hepatology (2022) Vol. 7, Iss. 5, pp. 485-494
Open Access | Times Cited: 16
Computed Tomography-Based Deep Learning Nomogram Can Accurately Predict Lymph Node Metastasis in Gastric Cancer
Xiao Guan, Na Lu, Jianping Zhang
Digestive Diseases and Sciences (2022) Vol. 68, Iss. 4, pp. 1473-1481
Open Access | Times Cited: 16
Computer-aided diagnosis in predicting the invasion depth of early colorectal cancer: a systematic review and meta-analysis of diagnostic test accuracy
Jiawei Bai, Kai Liu, Li Gao, et al.
Surgical Endoscopy (2023) Vol. 37, Iss. 9, pp. 6627-6639
Closed Access | Times Cited: 10
Page 1 - Next Page

Scroll to top