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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 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

Showing 23 citing articles:

Artificial intelligence in gastrointestinal endoscopy: a comprehensive review
Hassam Ali
Annals of Gastroenterology (2024)
Open Access | Times Cited: 16
Artificial intelligence and automation in endoscopy and surgery
François Chadebecq, Laurence Lovat, Danail Stoyanov
Nature Reviews Gastroenterology & Hepatology (2022) Vol. 20, Iss. 3, pp. 171-182
Open Access | Times Cited: 63
A Review of the Technology, Training, and Assessment Methods for the First Real-Time AI-Enhanced Medical Device for Endoscopy
Andrea Cherubini, Nhan Ngo Dinh
Bioengineering (2023) Vol. 10, Iss. 4, pp. 404-404
Open Access | Times Cited: 18
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
Development of an Artificial Intelligence System for Objective Assessment of Bowel Preparation Quality in Colonoscopy
Radu-Alexandru Vulpoi, Mihaela Luca, Adrian Ciobanu, et al.
Endoscopy (2025) Vol. 57, Iss. S 02, pp. S623-S624
Closed Access
The role of artificial intelligence in colonoscopy
Hyun Jae Kim, Nasim Parsa, Michael F. Byrne
Seminars in Colon and Rectal Surgery (2024) Vol. 35, Iss. 1, pp. 101007-101007
Open Access | Times Cited: 2
The Potential Use of Artificial Intelligence in Irritable Bowel Syndrome Management
Radu-Alexandru Vulpoi, Mihaela Luca, Adrian Ciobanu, et al.
Diagnostics (2023) Vol. 13, Iss. 21, pp. 3336-3336
Open Access | Times Cited: 6
The adoption of artificial intelligence assisted endoscopy in the Middle East: challenges and future potential
Ahmed M. El‐Sayed, Sara Salman, Laith Alrubaiy
Translational Gastroenterology and Hepatology (2023) Vol. 8, pp. 42-42
Open Access | Times Cited: 4
Advancing Barrett’s Esophagus Segmentation: A Deep-Learning Ensemble Approach with Data Augmentation and Model Collaboration
Jiann-Der Lee, Chih Mao Tsai
Bioengineering (2024) Vol. 11, Iss. 1, pp. 47-47
Open Access | Times Cited: 1
Deep Learning for Relevant Findings in Colonoscopy
Mihaela Luca, Adrian Ciobanu, Radu-Alexandru Vulpoi, et al.
Lecture notes in networks and systems (2024), pp. 283-293
Closed Access | Times Cited: 1
Anatomic Landmarks Detection by Deep Learning in Colonoscopy
Adrian Ciobanu, Mihaela Luca, Radu-Alexandru Vulpoi, et al.
IFMBE proceedings (2024), pp. 271-278
Closed Access | Times Cited: 1
Revealing the Boundaries of Selected Gastro-Intestinal (GI) Organs by Implementing CNNs in Endoscopic Capsule Images
Sofia A. Athanasiou, Eleftheria Sergaki, Andreas Polydorou, et al.
Diagnostics (2023) Vol. 13, Iss. 5, pp. 865-865
Open Access | Times Cited: 2
Role of Artificial Intelligence in the Diagnosis of Gastroesophageal Reflux Disease
Sravani Kommuru, Faith Adekunle, Santiago Niño, et al.
Cureus (2024)
Open Access
Patient and procedural factors associated with true histology rates in patients undergoing colonoscopy with computer-aided detection of polyps
Aasma Shaukat, David R. Lichtenstein, Daniel C. Chung, et al.
Gastrointestinal Endoscopy (2024)
Closed Access
Sistem Pakar Diagnosis Penyakit Lambung Berdasarkan Gejala dan Citra Endoskopi Menggunakan Metode Forward Chaining dan CNN
Gian Gustin, Hendra Marcos
Jurnal Tekno Kompak (2024) Vol. 18, Iss. 2, pp. 392-392
Open Access
Individual Health Data Storage for Diagnosis and Decision Support Systems—Considerations on Colonoscopy Assessment
Mihaela Luca, Adrian Ciobanu, Vlad Constantin Crăciun
Intelligent systems reference library (2024), pp. 69-91
Closed Access
The imitation game: a review of the use of artificial intelligence in colonoscopy, and endoscopists’ perceptions thereof
Sarah Tham, Frederick H. Koh, Jasmine Ladlad, et al.
Annals of Coloproctology (2023) Vol. 39, Iss. 5, pp. 385-394
Open Access | Times Cited: 1
The 2022 top 10 list of endoscopy topics in medical publishing: an annual review by the American Society for Gastrointestinal Endoscopy Editorial Board
Ramzi Mulki, Emad Qayed, Dennis Yang, et al.
Gastrointestinal Endoscopy (2023) Vol. 98, Iss. 6, pp. 1009-1016
Closed Access | Times Cited: 1
Deep Learning in Colonoscopies: Improving Small Polyps Recognition Rate
Adrian Ciobanu, Mihaela Luca, Radu Vulpoi, et al.
2022 E-Health and Bioengineering Conference (EHB) (2022), pp. 1-4
Closed Access | Times Cited: 2
Barrett's Esophagus Segmentation using U-Net Model based on Transfer Learning
Chi-Mo Tsai, Jiann-Der Lee
2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) (2023), pp. 113-114
Closed Access
Performance and Domain Adaptability of Object Detection Algorithms in Processed Colonoscopy Videos
Ruiyao Zhang, Naohisa Yoshida, Osamu Dohi, et al.
(2023), pp. 204-209
Closed Access
Artificial Intelligence Policy and Regulation in Medicine: Navigating the Promise and Challenges
Kanan Yusif-Zada, Sevinj Iskandarova
(2023), pp. 191-196
Closed Access
Enhancing Colonoscopy Image Quality with CLAHE in the GASTROLAB Dataset
R. Karthikha, D. Najumnissa Jamal
(2023), pp. 324-330
Closed Access
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