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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:

A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer
Cowan Ho, Zitong Zhao, Xiu Fen Chen, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 85

Showing 1-25 of 85 citing articles:

Artificial intelligence assists precision medicine in cancer treatment
Jinzhuang Liao, M Kellis, Yu Gan, et al.
Frontiers in Oncology (2023) Vol. 12
Open Access | Times Cited: 96
A Deep Learning Ensemble With Data Resampling for Credit Card Fraud Detection
Ibomoiye Domor Mienye, Yanxia Sun
IEEE Access (2023) Vol. 11, pp. 30628-30638
Open Access | Times Cited: 67
Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective
Muhammad Sufyan, Zeeshan Shokat, Usman Ali Ashfaq
Computers in Biology and Medicine (2023) Vol. 165, pp. 107356-107356
Closed Access | Times Cited: 64
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: 44
Application of artificial intelligence in diagnosis and treatment of colorectal cancer: A novel Prospect
Zugang Yin, Chenhui Yao, Limin Zhang, et al.
Frontiers in Medicine (2023) Vol. 10
Open Access | Times Cited: 42
Cancer detection and segmentation using machine learning and deep learning techniques: a review
Hari Mohan
Multimedia Tools and Applications (2023) Vol. 83, Iss. 9, pp. 27001-27035
Closed Access | Times Cited: 32
Tissue classification and diagnosis of colorectal cancer histopathology images using deep learning algorithms. Is the time ripe for clinical practice implementation?
David‐Dimitris Chlorogiannis, Georgios‐Ioannis Verras, Vassiliki Tzelepi, et al.
Gastroenterology Review (2023) Vol. 18, Iss. 4, pp. 353-367
Open Access | Times Cited: 31
A review and comparative study of cancer detection using machine learning: SBERT and SimCSE application
Mpho Mokoatle, Vukosi Marivate, Darlington Mapiye, et al.
BMC Bioinformatics (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 28
Ensemble-based multi-tissue classification approach of colorectal cancer histology images using a novel hybrid deep learning framework
Masoud Khazaee Fadafen, Khosro Rezaee
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 26
Detection of Colorectal Polyps from Colonoscopy Using Machine Learning: A Survey on Modern Techniques
Khaled ELKarazle, Valliappan Raman, Patrick Then, et al.
Sensors (2023) Vol. 23, Iss. 3, pp. 1225-1225
Open Access | Times Cited: 21
An interpretable machine learning system for colorectal cancer diagnosis from pathology slides
Pedro C. Neto, Diana Montezuma, Sara P. Oliveira, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 10
Prediction on nature of cancer by fuzzy graphoidal covering number using artificial neural network
Anushree Bhattacharya, Madhumangal Pal
Artificial Intelligence in Medicine (2024) Vol. 148, pp. 102783-102783
Closed Access | Times Cited: 8
A novel hybrid model for lung and colon cancer detection using pre-trained deep learning and KELM
J. Gowthamy, Subashka Ramesh
Expert Systems with Applications (2024) Vol. 252, pp. 124114-124114
Closed Access | Times Cited: 8
Clinical translation of nanomedicine with integrated digital medicine and machine learning interventions
Farooq Ahmad, Tahir Muhmood
Colloids and Surfaces B Biointerfaces (2024) Vol. 241, pp. 114041-114041
Closed Access | Times Cited: 8
COVID-DSNet: A novel deep convolutional neural network for detection of coronavirus (SARS-CoV-2) cases from CT and Chest X-Ray images
Hatice Çatal Reis, Veysel Turk
Artificial Intelligence in Medicine (2022) Vol. 134, pp. 102427-102427
Open Access | Times Cited: 30
Why do errors arise in artificial intelligence diagnostic tools in histopathology and how can we minimize them?
H Evans, David Snead
Histopathology (2023) Vol. 84, Iss. 2, pp. 279-287
Open Access | Times Cited: 17
An aggregation of aggregation methods in computational pathology
Mohsin Bilal, Robert Jewsbury, Ruoyu Wang, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102885-102885
Open Access | Times Cited: 16
Transfer Learning from Non-Medical Images to Medical Images Using Deep Learning Algorithms
Nooshin Osmani, Sorayya Rezayi, Erfan Esmaeeli, et al.
Frontiers in Health Informatics (2024) Vol. 13, pp. 177-177
Open Access | Times Cited: 5
Fusion strategies for deep convolutional neural network representations in histopathological image classification
Nooshin Osmani, Erfan Esmaeeli, Sorayya Rezayi
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
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
Addressing Label Noise in Colorectal Cancer Classification Using Cross‐Entropy Loss and pLOF Methods With Stacking‐Ensemble Technique
Ishrat Zahan Tani, Michael Kah Ong Goh, Md Nazmul Islam, et al.
Applied Computational Intelligence and Soft Computing (2025) Vol. 2025, Iss. 1
Open Access
Advances in colorectal cancer diagnosis using optimal deep feature fusion approach on biomedical images
Sultan Alotaibi, Manal Abdullah Alohali, Mashael Maashi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Artificial intelligence applied to the diagnosis of colorectal cancer
Ana Jiménez-Pastor, Carmen Prieto-de-la-Lastra
Elsevier eBooks (2025), pp. 249-260
Closed Access
Deep Neural Network Models for Colon Cancer Screening
Muthu Subash Kavitha, Prakash Gangadaran, Aurelia Jackson, et al.
Cancers (2022) Vol. 14, Iss. 15, pp. 3707-3707
Open Access | Times Cited: 22
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
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