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:

Benefits and challenges in implementation of artificial intelligence in colonoscopy: World Endoscopy Organization position statement
Yuichi Mori, James E. East, Cesare Hassan, et al.
Digestive Endoscopy (2023) Vol. 35, Iss. 4, pp. 422-429
Open Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

The Role of Artificial Intelligence in Colorectal Cancer Screening: Lesion Detection and Lesion Characterization
Edward J. Young, Louisa Edwards, Rajvinder Singh
Cancers (2023) Vol. 15, Iss. 21, pp. 5126-5126
Open Access | Times Cited: 21

Artificial intelligence in endoscopy related to inflammatory bowel disease: A systematic review
Partha Pal, Kanapuram Pooja, Zaheer Nabi, et al.
Indian Journal of Gastroenterology (2024) Vol. 43, Iss. 1, pp. 172-187
Closed Access | Times Cited: 7

Artificial intelligence-assisted colonoscopy to identify histologic remission and predict the outcomes of patients with ulcerative colitis: A systematic review
Yasuharu Maeda, Toyoki Kudo, Giovanni Santacroce, et al.
Digestive and Liver Disease (2024) Vol. 56, Iss. 7, pp. 1119-1125
Closed Access | Times Cited: 5

Screening and Surveillance of Colorectal Cancer: A Review of the Literature
Marcello Maida, Dushyant Singh Dahiya, Yash R. Shah, et al.
Cancers (2024) Vol. 16, Iss. 15, pp. 2746-2746
Open Access | Times Cited: 4

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: 4

CE-YOLO: A channel-efficient YOLO algorithm for colorectal polyp detection
Chao Xu, Zhiwei Fan, Yaoyao Ma, et al.
Biomedical Signal Processing and Control (2025) Vol. 104, pp. 107529-107529
Closed Access

Artificial Intelligence in Inflammatory Bowel Disease Endoscopy
Sabrina Gloria Giulia Testoni, Guglielmo Albertini Petroni, Maria Laura Annunziata, et al.
Diagnostics (2025) Vol. 15, Iss. 7, pp. 905-905
Open Access

Effect of Real-Time Computer-Aided Polyp Detection System (ENDO-AID) on Adenoma Detection in Endoscopists-in-Training: A Randomized Trial
Louis Ho Shing Lau, Jacky C. Ho, Jimmy Che‐To Lai, et al.
Clinical Gastroenterology and Hepatology (2023) Vol. 22, Iss. 3, pp. 630-641.e4
Open Access | Times Cited: 12

As how artificial intelligence is revolutionizing endoscopy
Jean‐François Rey
Clinical Endoscopy (2024) Vol. 57, Iss. 3, pp. 302-308
Open Access | Times Cited: 3

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

Integrating artificial intelligence into endoscopy training: opportunities, challenges, and strategies
Samir C. Grover, Catharine M. Walsh
˜The œLancet. Gastroenterology & hepatology (2023) Vol. 9, Iss. 1, pp. 11-13
Closed Access | Times Cited: 8

Artificial Intelligence in Colonoscopy
Nabil Mansour
Current Gastroenterology Reports (2023) Vol. 25, Iss. 6, pp. 122-129
Closed Access | Times Cited: 7

Construction of deep learning-based convolutional neural network model for automatic detection of fluid hysteroscopic endometrial micropolyps in infertile women with chronic endometritis
Kotaro Kitaya, Tadahiro Yasuo, Takeshi Yamaguchi, et al.
European Journal of Obstetrics & Gynecology and Reproductive Biology (2024) Vol. 297, pp. 249-253
Closed Access | Times Cited: 2

Robotic Colonoscopy and Beyond: Insights into Modern Lower Gastrointestinal Endoscopy
E. Tumino, Pierfrancesco Visaggi, Valeria Bolognesi, et al.
Diagnostics (2023) Vol. 13, Iss. 14, pp. 2452-2452
Open Access | Times Cited: 5

Optical diagnosis in still images of colorectal polyps: comparison between expert endoscopists and PolyDeep, a Computer-Aided Diagnosis system
Pedro Davila-Piñón, Alba Nogueira-Rodríguez, Astrid Irene Díez-Martín, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 1

Automated Endoscopic Diagnosis in IBD
Yasuharu Maeda, Shin‐ei Kudo, Takanori Kuroki, et al.
Gastrointestinal Endoscopy Clinics of North America (2024) Vol. 35, Iss. 1, pp. 213-233
Closed Access | Times Cited: 1

Non-polypoid Colorectal Lesions Detection and False Positive Detection by Artificial Intelligence under Blue Laser Imaging and Linked Color Imaging
Satoshi Sugino, Naohisa Yoshida, Zhe Guo, et al.
Journal of the Anus Rectum and Colon (2024) Vol. 8, Iss. 3, pp. 212-220
Open Access | Times Cited: 1

Artificial intelligence in digestive endoscopy: recent advances
Jean‐François Rey
Current Opinion in Gastroenterology (2023) Vol. 39, Iss. 5, pp. 397-402
Closed Access | Times Cited: 4

Understanding of AI in Dental Field with Technical Aspects
Nurullah Akkaya, Gürkan Ünsal, Kaan Orhan
Springer eBooks (2023), pp. 9-31
Closed Access | Times Cited: 2

Artificial intelligence in colonoscopy: from detection to diagnosis
Eun Sun Kim, Kwang‐Sig Lee
The Korean Journal of Internal Medicine (2024) Vol. 39, Iss. 4, pp. 555-562
Open Access

Pragmatic Resect and Discard Implementation using Computer-assisted Optical Polyp Diagnosis
Mahsa Taghiakbari, Douglas K. Rex, Heiko Pohl, et al.
Gastroenterology (2024)
Open Access

Practical utility of linked color imaging in colonoscopy: Updated literature review
Fumiaki Ishibashi, Sho Suzuki
Digestive Endoscopy (2024)
Closed Access

Performance of Computer-Aided Detection and Quality of Bowel Preparation: A Comprehensive Analysis of Colonoscopy Outcomes
Dalton A. Norwood, Shyam Thakkar, Amanda K. Cartee, et al.
Digestive Diseases and Sciences (2024) Vol. 69, Iss. 10, pp. 3681-3689
Open Access

Artificial Intelligence in Coloproctology: A Review of Emerging Technologies and Clinical Applications
Joana Mota, Maria João Almeida, Miguel Martins, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 19, pp. 5842-5842
Open Access

Performance of Computer-Aided Detection and Quality of Bowel Preparation: A Comprehensive Analysis of Colonoscopy Outcomes
Dalton A. Norwood, Shyam Thakkar, Amanda K. Cartee, et al.
Research Square (Research Square) (2024)
Closed Access

Page 1 - Next Page

Scroll to top