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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:

Deep learning for colon cancer histopathological images analysis
Amina Ben Hamida, Maxime Devanne, Jonathan Weber, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104730-104730
Open Access | Times Cited: 149

Showing 1-25 of 149 citing articles:

IL-MCAM: An interactive learning and multi-channel attention mechanism-based weakly supervised colorectal histopathology image classification approach
Haoyuan Chen, Chen Li, Xiaoyan Li, et al.
Computers in Biology and Medicine (2022) Vol. 143, pp. 105265-105265
Open Access | Times Cited: 106
Deep Learning on Histopathological Images for Colorectal Cancer Diagnosis: A Systematic Review
Athena S. Davri, Effrosyni Birbas, Theofilos Kanavos, et al.
Diagnostics (2022) Vol. 12, Iss. 4, pp. 837-837
Open Access | Times Cited: 77
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
YOLO and residual network for colorectal cancer cell detection and counting
Inayatul Haq, Tehseen Mazhar, Rizwana Naz Asif, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24403-e24403
Open Access | Times Cited: 18
Artificial Intelligence in Gastrointestinal Cancer Research: Image Learning Advances and Applications
Shengyuan Zhou, Yi Xie, Xujiao Feng, et al.
Cancer Letters (2025) Vol. 614, pp. 217555-217555
Closed Access | Times Cited: 3
An overview of deep learning in medical imaging
Andrés Anaya-Isaza, Leonel Mera-Jiménez, Martha Zequera-Diaz
Informatics in Medicine Unlocked (2021) Vol. 26, pp. 100723-100723
Open Access | Times Cited: 95
Deep Learning Predictive Model for Colon Cancer Patient using CNN-based Classification
Zarrin Tasnim, Sovon Chakraborty, F. M. Javed Mehedi Shamrat, et al.
International Journal of Advanced Computer Science and Applications (2021) Vol. 12, Iss. 8
Open Access | Times Cited: 60
An Efficient Deep Learning Approach for Colon Cancer Detection
Ahmed Sakr, Naglaa F. Soliman, Mehdhar S. A. M. Al-Gaashani, et al.
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8450-8450
Open Access | Times Cited: 59
CRCCN-Net: Automated framework for classification of colorectal tissue using histopathological images
Anurodh Kumar, Amit Vishwakarma, Varun Bajaj
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104172-104172
Closed Access | Times Cited: 57
Ensemble deep learning enhanced with self-attention for predicting immunotherapeutic responses to cancers
Wenyi Jin, Qian Yang, Hao Chi, et al.
Frontiers in Immunology (2022) Vol. 13
Open Access | Times Cited: 54
A Framework for Lung and Colon Cancer Diagnosis via Lightweight Deep Learning Models and Transformation Methods
Omneya Attallah, Muhammet Fatih Aslan, Kadir Sabancı
Diagnostics (2022) Vol. 12, Iss. 12, pp. 2926-2926
Open Access | Times Cited: 52
Human-object integrated assembly intention recognition for context-aware human-robot collaborative assembly
Yaqian Zhang, Kai Ding, Jizhuang Hui, et al.
Advanced Engineering Informatics (2022) Vol. 54, pp. 101792-101792
Closed Access | Times Cited: 46
Automated Detection and Characterization of Colon Cancer with Deep Convolutional Neural Networks
Md Imran Hasan, Md Shahin Ali, Md Habibur Rahman, et al.
Journal of Healthcare Engineering (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 43
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: 36
Histopathological Analysis for Detecting Lung and Colon Cancer Malignancies Using Hybrid Systems with Fused Features
Mohammed Al-Jabbar, Mohammed Alshahrani, Ebrahim Mohammed Senan, et al.
Bioengineering (2023) Vol. 10, Iss. 3, pp. 383-383
Open Access | Times Cited: 33
A survey on cancer detection via convolutional neural networks: Current challenges and future directions
Pallabi Sharma, Deepak Ranjan Nayak, Bunil Kumar Balabantaray, et al.
Neural Networks (2023) Vol. 169, pp. 637-659
Closed Access | Times Cited: 32
Predicting Colorectal Cancer Using Machine and Deep Learning Algorithms: Challenges and Opportunities
Dabiah Alboaneen, Razan Alqarni, Sheikah Alqahtani, et al.
Big Data and Cognitive Computing (2023) Vol. 7, Iss. 2, pp. 74-74
Open Access | Times Cited: 30
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: 28
Histopathology-Based Diagnosis of Oral Squamous Cell Carcinoma Using Deep Learning
Seon Yang, Shihao Li, Jialing Liu, et al.
Journal of Dental Research (2022) Vol. 101, Iss. 11, pp. 1321-1327
Closed Access | Times Cited: 36
Li-SegPNet: Encoder-Decoder Mode Lightweight Segmentation Network for Colorectal Polyps Analysis
Pallabi Sharma, Anmol Gautam, Pallab Maji, et al.
IEEE Transactions on Biomedical Engineering (2022) Vol. 70, Iss. 4, pp. 1330-1339
Closed Access | Times Cited: 33
Colon cancer diagnosis by means of explainable deep learning
Marcello Di Giammarco, Fabio Martinelli, Antonella Santone, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 8
Comparative analysis of machine learning and deep learning models for improved cancer detection: A comprehensive review of recent advancements in diagnostic techniques
Hari Mohan, Joon Yoo, Abdul Razaque
Expert Systems with Applications (2024) Vol. 255, pp. 124838-124838
Closed Access | Times Cited: 8
The development of artificial intelligence in the histological diagnosis of Inflammatory Bowel Disease (IBD-AI)
Cesare Furlanello, Nicole Bussola, Nicolò Merzi, et al.
Digestive and Liver Disease (2024)
Open Access | Times Cited: 7
Advancing cancer diagnosis and prognostication through deep learning mastery in breast, colon, and lung histopathology with ResoMergeNet
Chukwuebuka Joseph Ejiyi, Zhen Qin, Victor Kwaku Agbesi, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109494-109494
Closed Access | Times Cited: 6
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: 25
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