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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 intestinal polyp and colorectal cancer prediction
Anju Sharma, Rajnish Kumar, Garima Yadav, et al.
Cancer Letters (2023) Vol. 565, pp. 216238-216238
Closed Access | Times Cited: 22

Showing 22 citing articles:

Deep learning-based prediction model for diagnosing gastrointestinal diseases using endoscopy images
Anju Sharma, Rajnish Kumar, Prabha Garg
International Journal of Medical Informatics (2023) Vol. 177, pp. 105142-105142
Closed Access | Times Cited: 22
Mangiferin (mango) attenuates AOM-induced colorectal cancer in rat’s colon by augmentation of apoptotic proteins and antioxidant mechanisms
Khaled Abdul‐Aziz Ahmed, Ahmed Aj. Jabbar, Mahmood Ameen Abdulla, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 13
A foundation model with weak experiential guidance in detecting muscle invasive bladder cancer on MRI
Yu Gong, Xiaodong Zhang, Yifan Xia, et al.
Cancer Letters (2025) Vol. 611, pp. 217438-217438
Closed Access
Bioactivity evaluation of Polygonum minus and identification of synergistic phytochemicals with 5-fluorouracil for colon cancer treatment
Zhongming Yang, Zhongguo Yang, Md Zuki Abu Bakar, et al.
Microchemical Journal (2025) Vol. 210, pp. 112917-112917
Closed Access
Innovative approaches in colorectal cancer screening: advances in detection methods and the role of artificial intelligence
Changwei Duan, Jian-qiu Sheng, Xianzong Ma
Therapeutic Advances in Gastroenterology (2025) Vol. 18
Open Access
Application of Artificial Intelligence in the diagnosis and treatment of colorectal cancer: a bibliometric analysis, 2004–2023
Lamei Sun, Rong Zhang, Yidan Gu, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 3
A nomogram based on collagen signature for predicting the immunoscore in colorectal cancer
Wei Jiang, Xian Yu, Xiaoyu Dong, et al.
Frontiers in Immunology (2023) Vol. 14
Open Access | Times Cited: 5
Accurate prediction of colorectal cancer diagnosis using machine learning based on immunohistochemistry pathological images
Bobin Ning, Jimei Chi, Qingyu Meng, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Personalized Prediction of Postoperative Complication and Survival Among Colorectal Liver Metastases Patients Receiving Simultaneous Resection Using Machine Learning Approaches: A Multi-center Study
Qichen Chen, Jinghua Chen, Yiqiao Deng, et al.
Cancer Letters (2024) Vol. 593, pp. 216967-216967
Open Access | Times Cited: 1
Machine Learning and Bioinformatics Analysis for Laboratory Data in Pan‐Cancers Detection
Yin Jia, Zixin Liu, Jie Guo, et al.
Advanced Intelligent Systems (2023) Vol. 5, Iss. 12
Open Access | Times Cited: 3
结直肠癌病理研究五十年：世界与中国
Maode Lai
Chinese Science Bulletin (Chinese Version) (2024)
Open Access
ARTIFICIAL INTELLIGENCE APPLICATIONS IN COLONOSCOPY AND COLORECTAL CANCER DIAGNOSIS: A REVIEW

International Research Journal of Modernization in Engineering Technology and Science (2024)
Open Access
A review of deep learning methods for gastrointestinal diseases classification applied in computer-aided diagnosis system
Qianru Jiang, Yulin Yu, Yipei Ren, et al.
Medical & Biological Engineering & Computing (2024)
Closed Access
Enhanced YOLOv8 with attention mechanisms for accurate detection of colorectal polyps
Shuangyuan Wang, Shengmao Lin, Fujia Sun, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106942-106942
Closed Access
Predictive Modeling and Drug Repurposing for Type-II Diabetes
Nitin Wankhade, Anju Sharma, Mushtaq Ahmad Wani, et al.
ACS Medicinal Chemistry Letters (2024) Vol. 15, Iss. 11, pp. 1907-1917
Closed Access
Evolving and Novel Applications of Artificial Intelligence in Abdominal Imaging
Margaret L. Loper, Mina S. Makary
Tomography (2024) Vol. 10, Iss. 11, pp. 1814-1831
Open Access
Dysregulation of DNA methylation in colorectal cancer: biomarker, immune regulation, and therapeutic potential
Qin Wang, Man Chen, Bin Yang, et al.
International Immunopharmacology (2024) Vol. 145, pp. 113766-113766
Closed Access
Accurate prediction of colorectal cancer diagnosis using machine learning based on immunohistochemistry pathological images
Bobin Ning, Jimei Chi, Qingyu Meng, et al.
Research Square (Research Square) (2024)
Open Access
An efficient computational framework for gastrointestinal disorder prediction using attention-based transfer learning
Jiajie Zhou, Wei Song, Yeliu Liu, et al.
PeerJ Computer Science (2024) Vol. 10, pp. e2059-e2059
Open Access
Advances in endoscopic diagnosis and management of colorectal cancer
Shiwei Li, Xiang Liu, Siyu Sun
World Journal of Gastrointestinal Oncology (2024) Vol. 16, Iss. 10, pp. 4045-4051
Closed Access
E-Cadherin Expression Varies Depending on the Location within the Primary Tumor and Is Higher in Colorectal Cancer with Lymphoid Follicles
Adam R. Markowski, Konstancja Ustymowicz, Anna J. Markowska, et al.
Cancers (2023) Vol. 15, Iss. 12, pp. 3260-3260
Open Access
DeepADRA2A: predicting adrenergic α2a inhibitors using deep learning
Nitin Wankhade, Ummireddy Dayasagar, Anju Sharma, et al.
Journal of Biomolecular Structure and Dynamics (2023), pp. 1-12
Closed Access
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