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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 Allows Leaving-In-Situ Colorectal Polyps
Cesare Hassan, Giuseppina Balsamo, Roberto Lorenzetti, et al.
Clinical Gastroenterology and Hepatology (2022) Vol. 20, Iss. 11, pp. 2505-2513.e4
Open Access | Times Cited: 76

Showing 1-25 of 76 citing articles:

Experimental evidence of effective human–AI collaboration in medical decision-making
Carlo Reverberi, Tommaso Rigon, Aldo Solari, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 82
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: 71
Novel research and future prospects of artificial intelligence in cancer diagnosis and treatment
Chaoyi Zhang, Jin Xu, Rong Tang, et al.
Journal of Hematology & Oncology (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 38
Autonomous Artificial Intelligence vs Artificial Intelligence–Assisted Human Optical Diagnosis of Colorectal Polyps: A Randomized Controlled Trial
Roupen Djinbachian, Claire Haumesser, Mahsa Taghiakbari, et al.
Gastroenterology (2024) Vol. 167, Iss. 2, pp. 392-399.e2
Open Access | Times Cited: 16
Artificial Intelligence for Real-Time Prediction of the Histology of Colorectal Polyps by General Endoscopists
Douglas K. Rex, Indira Bhavsar-Burke, Daniel Buckles, et al.
Annals of Internal Medicine (2024) Vol. 177, Iss. 7, pp. 911-918
Closed Access | Times Cited: 12
Real-World Validation of a Computer-Aided Diagnosis System for Prediction of Polyp Histology in Colonoscopy: A Prospective Multicenter Study
James Weiquan Li, Clement Chun Ho Wu, Jonathan Lee, et al.
The American Journal of Gastroenterology (2023) Vol. 118, Iss. 8, pp. 1353-1364
Closed Access | Times Cited: 29
Computer-Aided Diagnosis for Leaving Colorectal Polyps In Situ
Cesare Hassan, Masashi Misawa, Tommy Rizkala, et al.
Annals of Internal Medicine (2024) Vol. 177, Iss. 7, pp. 919-928
Closed Access | Times Cited: 9
APAGE Position Statements on Green and Sustainability in Gastroenterology, Hepatology, and Gastrointestinal Endoscopy
Tiing Leong Ang, Hang Viet Dao, James Weiquan Li, et al.
Journal of Gastroenterology and Hepatology (2025)
Closed Access
Comparative Performance of Artificial Intelligence Optical Diagnosis Systems for Leaving in Situ Colorectal Polyps
Cesare Hassan, Prateek Sharma, Yuichi Mori, et al.
Gastroenterology (2022) Vol. 164, Iss. 3, pp. 467-469.e4
Open Access | Times Cited: 27
Computer-aided diagnosis for optical diagnosis of diminutive colorectal polyps including sessile serrated lesions: a real-time comparison with screening endoscopists
Britt B. S. L. Houwen, Yark Hazewinkel, Ioannis Giotis, et al.
Endoscopy (2023) Vol. 55, Iss. 08, pp. 756-765
Open Access | Times Cited: 16
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: 16
Artificial Intelligence Applied to Colonoscopy: Is It Time to Take a Step Forward?
Antonio Z. Gimeno‐García, Anjara Hernández-Pérez, David Nicolás–Pérez, et al.
Cancers (2023) Vol. 15, Iss. 8, pp. 2193-2193
Open Access | Times Cited: 16
Current and future implications of artificial intelligence in colonoscopy
Giulio Antonelli
Annals of Gastroenterology (2023)
Open Access | Times Cited: 15
Using Computer-aided Optical Diagnosis and Expert Review to Evaluate Colorectal Polyps Diagnosed as Normal Mucosa in Pathology
Roupen Djinbachian, Mohammed El Mehdi El Yamani, Douglas K. Rex, et al.
Clinical Gastroenterology and Hepatology (2024) Vol. 22, Iss. 11, pp. 2344-2346.e1
Open Access | Times Cited: 5
REAL-Colon: A dataset for developing real-world AI applications in colonoscopy
Carlo Biffi, Giulio Antonelli, Sebastian Bernhofer, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 5
Artificial Intelligence-assisted colonoscopy and colorectal cancer screening: Where are we going?
Marco Spadaccini, Joel Troya, Kareem Khalaf, et al.
Digestive and Liver Disease (2024) Vol. 56, Iss. 7, pp. 1148-1155
Closed Access | Times Cited: 4
Accuracy of polyp characterization by artificial intelligence and endoscopists: a prospective, non-randomized study in a tertiary endoscopy center
Sebastian Baumer, K. Streicher, Saleh A. Alqahtani, et al.
Endoscopy International Open (2023) Vol. 11, Iss. 09, pp. E818-E828
Open Access | Times Cited: 10
Effectiveness and application of artificial intelligence for endoscopic screening of colorectal cancer: the future is now
Marcello Maida, Giovanni Marasco, Antonio Facciorusso, et al.
Expert Review of Anticancer Therapy (2023) Vol. 23, Iss. 7, pp. 719-729
Closed Access | Times Cited: 8
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
Artificial Intelligence and Medical Liability in Gastrointestinal Endoscopy
Sami Elamin, Mindy Duffourc, Tyler M. Berzin, et al.
Clinical Gastroenterology and Hepatology (2024) Vol. 22, Iss. 6, pp. 1165-1169.e1
Open Access | Times Cited: 2
White light computer-aided optical diagnosis of diminutive colorectal polyps in routine clinical practice
Emanuele Rondonotti, Irene Maria Bambina Bergna, Silvia Paggi, et al.
Endoscopy International Open (2024) Vol. 12, Iss. 05, pp. E676-E683
Open Access | Times Cited: 2
Accuracy of Computer-aided Diagnosis in Colonoscopy Varies According to Polyp Location: A Systematic Review and Meta-analysis
Tommy Rizkala, Cesare Hassan, Yuichi Mori, et al.
Clinical Gastroenterology and Hepatology (2024)
Closed Access | Times Cited: 2
Computer-aided diagnosis for the resect-and-discard strategy for colorectal polyps: a systematic review and meta-analysis
Cesare Hassan, Tommy Rizkala, Yuichi Mori, et al.
˜The œLancet. Gastroenterology & hepatology (2024) Vol. 9, Iss. 11, pp. 1010-1019
Closed Access | Times Cited: 2
Artificial Intelligence-Aided Endoscopy and Colorectal Cancer Screening
Marco Spadaccini, Davide Massimi, Yuichi Mori, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1102-1102
Open Access | Times Cited: 7
Artificial Intelligence in Colonoscopy
Nabil Mansour
Current Gastroenterology Reports (2023) Vol. 25, Iss. 6, pp. 122-129
Closed Access | Times Cited: 7
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