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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:

Potential applications of artificial intelligence in colorectal polyps and cancer: Recent advances and prospects
Kewei Wang, Ming Dong
World Journal of Gastroenterology (2020) Vol. 26, Iss. 34, pp. 5090-5100
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Machine Learning and AI in Cancer Prognosis, Prediction, and Treatment Selection: A Critical Approach
Bo Zhang, Huiping Shi, Hongtao Wang
Journal of Multidisciplinary Healthcare (2023) Vol. Volume 16, pp. 1779-1791
Open Access | Times Cited: 112
Effectiveness of artificial intelligence-assisted colonoscopy in early diagnosis of colorectal cancer: a systematic review
Aashna Mehta, Harendra Kumar, Katia Yazji, et al.
International Journal of Surgery (2023) Vol. 109, Iss. 4, pp. 946-952
Open Access | Times Cited: 19
An approach of polyp segmentation from colonoscopy images using Dilated-U-Net-Seg – A deep learning network
R. Karthikha, D. Najumnissa Jamal, S. Syed Rafiammal
Biomedical Signal Processing and Control (2024) Vol. 93, pp. 106197-106197
Closed Access | Times Cited: 7
Artificial intelligence for the early detection of colorectal cancer: A comprehensive review of its advantages and misconceptions
Michelle Viscaíno, Javier Torres Bustos, P. Gomis Muñoz, et al.
World Journal of Gastroenterology (2021) Vol. 27, Iss. 38, pp. 6399-6414
Open Access | Times Cited: 36
Artificial Intelligence and Machine Learning in Cancer Research: A Systematic and Thematic Analysis of the Top 100 Cited Articles Indexed in Scopus Database
Ibrahim Hussein Musa, Lukman O. Afolabi, Ibrahim Zamit, et al.
Cancer Control (2022) Vol. 29
Open Access | Times Cited: 26
Research progress of traditional Chinese medicine as sensitizer in reversing chemoresistance of colorectal cancer
Xiang Lin, Xinyu Yang, Yu‐Shang Yang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 15
A comprehensive survey of intestine histopathological image analysis using machine vision approaches
Yujie Jing, Chen Li, Tianming Du, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107388-107388
Closed Access | Times Cited: 13
A Narrative Review on the Role of Artificial Intelligence (AI) in Colorectal Cancer Management
B Benson A. Babu, J. B. Singh, J González, et al.
Cureus (2025)
Open Access
Enhancing colorectal polyp classification using gaze-based attention networks
Zhenghao Guo, Yanyan Hu, Peixuan Ge, et al.
PeerJ Computer Science (2025) Vol. 11, pp. e2780-e2780
Open Access
Real-World Colonoscopy Video Integration to Improve Artificial Intelligence Polyp Detection Performance and Reduce Manual Annotation Labor
Yuna Kim, Ji-Soo Keum, Jie‐Hyun Kim, et al.
Diagnostics (2025) Vol. 15, Iss. 7, pp. 901-901
Open Access
Application of Artificial Intelligence in Early Gastric Cancer Diagnosis
Zili Xiao, Danian Ji, Feng Li, et al.
Digestion (2021) Vol. 103, Iss. 1, pp. 69-75
Open Access | Times Cited: 30
Artificial Intelligence and Early Detection of Breast, Lung, and Colon Cancer: A Narrative Review
Omofolarin Debellotte, Richard L Dookie, Fnu Rinkoo, et al.
Cureus (2025)
Open Access
The effect of educational intervention based on health belief model on colorectal cancer screening behaviors
Tayebeh Rakhshani, Elham Razeghi, Seyyed Mansour Kashfi, et al.
BMC Public Health (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Real-time automated diagnosis of colorectal cancer invasion depth using a deep learning model with multimodal data (with video)
Zihua Lu, Y Xu, Liwen Yao, et al.
Gastrointestinal Endoscopy (2021) Vol. 95, Iss. 6, pp. 1186-1194.e3
Closed Access | Times Cited: 21
Application of artificial intelligence-driven endoscopic screening and diagnosis of gastric cancer
Yu‐Jer Hsiao, Yuan-Chih Wen, Wei-Yi Lai, et al.
World Journal of Gastroenterology (2021) Vol. 27, Iss. 22, pp. 2979-2993
Open Access | Times Cited: 19
Role of artificial intelligence in multidisciplinary imaging diagnosis of gastrointestinal diseases
M. Álvaro Berbís, José Aneiros‐Fernández, F Javier Mendoza Olivares, et al.
World Journal of Gastroenterology (2021) Vol. 27, Iss. 27, pp. 4395-4412
Open Access | Times Cited: 19
Application of P4 (Predictive, Preventive, Personalized, Participatory) Approach to Occupational Medicine
Paolo Boffetta, Giulia Collatuzzo
˜La œMedicina del lavoro (2022) Vol. 113, Iss. 1, pp. e2022009-e2022009
Open Access | Times Cited: 10
Network Pharmacology and Molecular Docking on the Molecular Mechanism of Luo-hua-zi-zhu (LHZZ) Granule in the Prevention and Treatment of Bowel Precancerous Lesions
Cui Guo, Xingdong Kang, Fang Cao, et al.
Frontiers in Pharmacology (2021) Vol. 12
Open Access | Times Cited: 14
Computational Intelligence-Based Gene Expression Analysis in Colorectal Cancer: A Review
Ankit Srivastava, S. Rai, Manish Pratap Singh, et al.
Studies in computational intelligence (2022), pp. 387-410
Closed Access | Times Cited: 8
Future artificial intelligence tools and perspectives in medicine
Ahmad Chaddad, Yousef Katib, Lama Hassan
Current Opinion in Urology (2021) Vol. 31, Iss. 4, pp. 371-377
Open Access | Times Cited: 10
Artificial intelligence in small intestinal diseases: Application and prospects
Yu Yang, Yuxuan Li, Ren-qi Yao, et al.
World Journal of Gastroenterology (2021) Vol. 27, Iss. 25, pp. 3734-3747
Open Access | Times Cited: 10
The future of endoscopic resection for early gastric cancer
Raquel Ortigão, Diogo Libânio, Mário Dinis‐Ribeiro
Journal of Surgical Oncology (2022) Vol. 125, Iss. 7, pp. 1110-1122
Closed Access | Times Cited: 6
Developing a clinical decision support system based on the fuzzy logic and decision tree to predict colorectal cancer
Raoof Nopour, Mostafa Shanbehzadeh, Hadi Kazemi-Arpanahi
Medical Journal of the Islamic Republic of Iran (2021)
Open Access | Times Cited: 8
A system based on deep convolutional neural network improves the detection of early gastric cancer
Jie Feng, Shang rui Yu, Yao ping Zhang, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 4
Artificial intelligence within the small bowel: are we lagging behind?
Stefania Chetcuti Zammit, Reena Sidhu
Current Opinion in Gastroenterology (2022) Vol. 38, Iss. 3, pp. 307-317
Closed Access | Times Cited: 3
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