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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:

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

Showing 1-25 of 57 citing articles:

Color-CADx: a deep learning approach for colorectal cancer classification through triple convolutional neural networks and discrete cosine transform
Maha Sharkas, Omneya Attallah
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 16
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
DM-CNN: Dynamic Multi-scale Convolutional Neural Network with uncertainty quantification for medical image classification
Qi Han, Xin Qian, Hongxiang Xu, et al.
Computers in Biology and Medicine (2023) Vol. 168, pp. 107758-107758
Closed Access | Times Cited: 28
Colon and lung cancer classification from multi-modal images using resilient and efficient neural network architectures
Abdul Hasib Uddin, Yen‐Lin Chen, Miss Rokeya Akter, et al.
Heliyon (2024) Vol. 10, Iss. 9, pp. e30625-e30625
Open Access | Times Cited: 15
An End-to-End Lightweight Multi-Scale CNN for the Classification of Lung and Colon Cancer with XAI Integration
Mohammad Asif Hasan, Fariha Haque, Saifur Rahman Sabuj, et al.
Technologies (2024) Vol. 12, Iss. 4, pp. 56-56
Open Access | Times Cited: 14
Novel Mixed Domain Hand-Crafted Features for Skin Disease Recognition Using Multiheaded CNN
Anurodh Kumar, Amit Vishwakarma, Varun Bajaj, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-13
Closed 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
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: 8
Learned Representation-Guided Diffusion Models for Large-Image Generation
Alexandros Graikos, Srikar Yellapragada, Minh-Quan Le, et al.
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024), pp. 8532-8542
Closed Access | Times Cited: 7
Deep learning ensemble approach with explainable AI for lung and colon cancer classification using advanced hyperparameter tuning
K. Vanitha, Mahesh Thyluru Ramakrishna, S. Sathea Sree, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 6
Al-Biruni Earth Radius Optimization with Transfer Learning Based Histopathological Image Analysis for Lung and Colon Cancer Detection
Rayed AlGhamdi, Turky Omar Asar, Fatmah Yousef Assiri, et al.
Cancers (2023) Vol. 15, Iss. 13, pp. 3300-3300
Open Access | Times Cited: 16
EL-CNN: An enhanced lightweight classification method for colorectal cancer histopathological images
Xing-Liang Pan, Bo Hua, Ke Tong, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106933-106933
Closed Access | Times Cited: 5
ML3CNet: Non-local means-assisted automatic framework for lung cancer subtypes classification using histopathological images
Anurodh Kumar, Amit Vishwakarma, Varun Bajaj
Computer Methods and Programs in Biomedicine (2024) Vol. 251, pp. 108207-108207
Closed Access | Times Cited: 4
The development of an efficient artificial intelligence-based classification approach for colorectal cancer response to radiochemotherapy: deep learning vs. machine learning
Fatemeh Bahrambanan, Meysam Alizamir, Kayhan Moradveisi, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Transformative Advances in AI for Precise Cancer Detection: A Comprehensive Review of Non-Invasive Techniques
Hari Mohan, Joon Yoo, Serhii Dashkevych
Archives of Computational Methods in Engineering (2025)
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
Leveraging Radiomics and Hybrid Quantum–Classical Convolutional Networks for Non-Invasive Detection of Microsatellite Instability in Colorectal Cancer
T. Buvaneswari, M. Siva Ramkumar, Prabhu Venkatesan, et al.
Molecular Imaging and Biology (2025)
Closed Access
Multi head attention based conditional progressive GAN for colon cancer histopathological images analysis
Harikrishna Mulam, Venkata Rambabu Chikati, Anita Kulkarni
Multimedia Tools and Applications (2025)
Closed Access
Histopathological Image Classification Using Fine-Tuned Deep Learning Models for Lung and Colon Cancer
Shifa Shah, Anjali Mahajan, Pooja Sharma, et al.
Smart innovation, systems and technologies (2025), pp. 205-223
Closed Access
Cross-Organ Investigation of Tumor Histological Features Similarities Using Transfer Learning: A Case Study on Breast and Colorectal Tumors
Mohammad Helmy, Rafif Al-Saady
Communications in computer and information science (2025), pp. 175-188
Closed Access
Fused multi-level attention features with a constraint fusion network for colorectal tissue classification using histopathological images
Rashi Chauhan, Mohan Karnati, Pradeep Kumar Singh
Computers & Electrical Engineering (2025) Vol. 124, pp. 110296-110296
Closed Access
An Efficient Parallel Branch Network for Multi‐Class Classification of Prostate Cancer From Histopathological Images
Vishal Srivastava, Akshaya Prabhu, Sravya Nedungatt, et al.
International Journal of Imaging Systems and Technology (2025) Vol. 35, Iss. 3
Closed Access
FPGA implementation of deep learning architecture for kidney cancer detection from histopathological images
Shyam Lal, Amit Kumar Chanchal, Jyoti Kini, et al.
Multimedia Tools and Applications (2024) Vol. 83, Iss. 21, pp. 60583-60601
Closed Access | Times Cited: 3
TransNetV: An optimized hybrid model for enhanced colorectal cancer image classification
Mohsan Tanveer, Muhammad Usman Akram, Asad Khan
Biomedical Signal Processing and Control (2024) Vol. 96, pp. 106579-106579
Closed Access | Times Cited: 3
Adaptive Dynamic Learning Rate Optimization Technique for Colorectal Cancer Diagnosis Based on Histopathological Image Using EfficientNet-B0 Deep Learning Model
Sameh Abd El-Ghany, Mahmood A. Mahmood, A. A. Abd El-Aziz
Electronics (2024) Vol. 13, Iss. 16, pp. 3126-3126
Open Access | Times Cited: 3
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