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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:

The role of AI technology in prediction, diagnosis and treatment of colorectal cancer
Chaoran Yu, Ernest Johann Helwig
Artificial Intelligence Review (2021) Vol. 55, Iss. 1, pp. 323-343
Open Access | Times Cited: 65

Showing 1-25 of 65 citing articles:

Vision Transformers in medical computer vision—A contemplative retrospection
Arshi Parvaiz, Muhammad Anwaar Khalid, Rukhsana Zafar, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 122, pp. 106126-106126
Open Access | Times Cited: 145
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
The role of deep learning in diagnosing colorectal cancer
Dimitrios Bousis, Georgios‐Ioannis Verras, Konstantinos Bouchagier, et al.
Gastroenterology Review (2023) Vol. 18, Iss. 3, pp. 266-273
Open Access | Times Cited: 46
A systematic review of deep learning based image segmentation to detect polyp
Mayuri Gupta, Ashish Mishra
Artificial Intelligence Review (2024) Vol. 57, Iss. 1
Open Access | Times Cited: 29
Applications of Artificial Intelligence in Screening, Diagnosis, Treatment, and Prognosis of Colorectal Cancer
Hang Qiu, Shuhan Ding, Jianbo Liu, et al.
Current Oncology (2022) Vol. 29, Iss. 3, pp. 1773-1795
Open Access | Times Cited: 48
Current Status and Emerging Trends in Colorectal Cancer Screening and Diagnostics
Shreya Singh Beniwal, Paula Lamo, Ajeet Kaushik, et al.
Biosensors (2023) Vol. 13, Iss. 10, pp. 926-926
Open Access | Times Cited: 23
Role of artificial intelligence in risk prediction, prognostication, and therapy response assessment in colorectal cancer: current state and future directions
Arian Mansur, Zain Saleem, Tarig Elhakim, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 20
AI'S Healing Touch: Examining Machine Learning's Transformative Effects On Healthcare
Ali Husnain, Saad Rasool, Ayesha Saeed, et al.
Journal Of World Science (2023) Vol. 2, Iss. 10, pp. 1681-1695
Open Access | Times Cited: 16
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
From Crypts to Cancer: A Holistic Perspective on Colorectal Carcinogenesis and Therapeutic Strategies
Ehsan Gharib, Gilles A. Robichaud
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 17, pp. 9463-9463
Open Access | Times Cited: 7
An efficient colorectal cancer detection network using atrous convolution with coordinate attention transformer and histopathological images
Majdi Khalid, S. Deivasigamani, V Sathiya, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
An integrated network topology and deep learning model for prediction of Alzheimer disease candidate genes
Naveen Sundar Gnanadesigan, Narmadha Dhanasegar, R. Manjula Devi, et al.
Soft Computing (2023) Vol. 27, Iss. 19, pp. 14189-14203
Closed Access | Times Cited: 14
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
Synthesized colonoscopy dataset from high-fidelity virtual colon with abnormal simulation
Dongdong He, Ziteng Liu, Xunhai Yin, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109672-109672
Closed Access
Artificial Intelligence and Cancer Health Equity: Bridging the Divide or Widening the Gap
Irene Dankwa‐Mullan, Kingsley Ndoh, Darlington Ahiale Akogo, et al.
Current Oncology Reports (2025)
Closed Access
Potential of AI and ML in oncology research including diagnosis, treatment and future directions: A comprehensive prospective
Akanksha Gupta, Sarita Bajaj, Priyanshu Nema, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109918-109918
Closed Access
The paradigm of digital health: AI applications and transformative trends
Zubia Rashid, Hania Ahmed, Neha Nadeem, et al.
Neural Computing and Applications (2025)
Closed Access
An automatic gastric polyp detection technique using deep learning
Dania Mushtaq, Tahir Mustafa Madni, Uzair Iqbal Janjua, et al.
International Journal of Imaging Systems and Technology (2023) Vol. 33, Iss. 3, pp. 866-880
Closed Access | Times Cited: 10
Computer-aided diagnosis in predicting the invasion depth of early colorectal cancer: a systematic review and meta-analysis of diagnostic test accuracy
Jiawei Bai, Kai Liu, Li Gao, et al.
Surgical Endoscopy (2023) Vol. 37, Iss. 9, pp. 6627-6639
Closed Access | Times Cited: 10
Assessing the Behavioral Intention of Individuals to Use an AI Doctor at the Primary, Secondary, and Tertiary Care Levels
Pelin Uymaz, Ali Osman Uymaz, Yakup Akgül
International Journal of Human-Computer Interaction (2023) Vol. 40, Iss. 18, pp. 5229-5246
Closed Access | Times Cited: 10
Colorectal Cancer Diagnostic Methods: The Present and Future
Sai Sravya Gude, Rithik S Veeravalli, Bhuvanasai Vejandla, et al.
Cureus (2023)
Open Access | Times Cited: 9
The shift from disease-centric to patient-centric healthcare: Assessing physicians’ intention to use AI doctors
Ali Osman Uymaz, Pelin Uymaz, Yakup Akgül
Environment and Social Psychology (2024) Vol. 9, Iss. 4
Open Access | Times Cited: 3
Exploring excitement counterbalanced by concerns towards AI technology using a descriptive-prescriptive data processing method
Simona‐Vasilica Oprea, Adela Bârã
Humanities and Social Sciences Communications (2024) Vol. 11, 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
Artificial intelligence fusion for predicting survival of rectal cancer patients using immunohistochemical expression of Ras homolog family member B in biopsy
Tuan D. Pham, Vinayakumar Ravi, Bin Luo, et al.
Exploration of Targeted Anti-tumor Therapy (2023), pp. 1-16
Open Access | Times Cited: 7
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