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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 New Deep Learning Model Selection Method for Colorectal Cancer Classification
Nassima Dif, Zakaria Elberrichi
International Journal of Swarm Intelligence Research (2020) Vol. 11, Iss. 3, pp. 72-88
Closed Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A comprehensive review of deep learning in colon cancer
İshak Paçal, Derviş Karaboğa, Alper Baştürk, et al.
Computers in Biology and Medicine (2020) Vol. 126, pp. 104003-104003
Closed Access | Times Cited: 198
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: 105
Framework for Detecting Breast Cancer Risk Presence Using Deep Learning
Mamoona Humayun, Muhammad Ibrahim Khalil, Saleh Naif Almuayqil, et al.
Electronics (2023) Vol. 12, Iss. 2, pp. 403-403
Open Access | Times Cited: 51
Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images
Dheeb Albashish
PeerJ Computer Science (2022) Vol. 8, pp. e1031-e1031
Open Access | Times Cited: 26
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
NICE polyp feature classification for colonoscopy screening
Thomas De Carvalho, Rawen Kader, Patrick Brandão, et al.
International Journal of Computer Assisted Radiology and Surgery (2025)
Open Access
SnapEnsemFS: a snapshot ensembling-based deep feature selection model for colorectal cancer histological analysis
Soumitri Chattopadhyay, Pawan Kumar Singh, Muhammad Fazal Ijaz, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 9
Multi-branch convolutional neural networks with integrated cross-entropy for fault diagnosis in diesel engines
Haipeng Zhao, Zhiwei Mao, Jinjie Zhang, et al.
Measurement Science and Technology (2020) Vol. 32, Iss. 4, pp. 045103-045103
Closed Access | Times Cited: 23
Lung Cancer Classification in Histopathology Images Using Multiresolution Efficient Nets
Sunila Anjum, Imran Ahmed, Muhammad Asif, et al.
Computational Intelligence and Neuroscience (2023) Vol. 2023, Iss. 1
Open Access | Times Cited: 7
Automated Diagnosis of Various Gastrointestinal Lesions Using a Deep Learning–Based Classification and Retrieval Framework With a Large Endoscopic Database: Model Development and Validation
Muhammad Owais, Muhammad Arsalan, Tahir Mahmood, et al.
Journal of Medical Internet Research (2020) Vol. 22, Iss. 11, pp. e18563-e18563
Open Access | Times Cited: 18
Colorectal Cancer Disease Classification and Segmentation Using A Novel Deep Learning Approach

International journal of intelligent engineering and systems (2022) Vol. 15, Iss. 4
Open Access | Times Cited: 7
Classification of colorectal cancer in histological images using deep neural networks: an investigation
Sang‐Hyun Kim, Hyun Min Koh, Byoung-Dai Lee
Multimedia Tools and Applications (2021) Vol. 80, Iss. 28-29, pp. 35941-35953
Closed Access | Times Cited: 9
Colon Cancer Classification of Histopathological Images Using Data Augmentation
Anurodh Kumar, Amit Vishwakarma, Varun Bajaj, et al.
(2021), pp. 1-5
Closed Access | Times Cited: 9
Optimal Deep Transfer Learning Based Colorectal Cancer Detection and Classification Model
Mahmoud Ragab
Computers, materials & continua/Computers, materials & continua (Print) (2022) Vol. 74, Iss. 2, pp. 3279-3295
Open Access | Times Cited: 6
Ensemble Deep Learning Techniques for Advancing Breast Cancer Detection and Diagnosis
Adam M. Ibrahim, Ayia A. Hassan, Jianqiang Li, et al.
Lecture notes in electrical engineering (2024), pp. 181-192
Closed Access
Generalized Deep Learning for Histopathology Image Classification Using Supervised Contrastive Learning
Md Mamunur Rahaman, Ewan K.A. Millar, Erik Meijering
Journal of Advanced Research (2024)
Open Access
Colorectal Cancer Disease Classification Using Mobilenetv2 Based on Deep Learning
Mallela Siva Naga Raju, Mallela Siva B. Srinivasa Rao
International Journal of Software Innovation (2022) Vol. 10, Iss. 1, pp. 1-18
Closed Access | Times Cited: 2
An Efficient Convolutional Neural Network for Classification of Multi-Class Colorectal Tissue Using Histopathological Images
Anurodh Kumar, Amit Vishwakarma, Varun Bajaj
2022 IEEE 6th Conference on Information and Communication Technology (CICT) (2022)
Closed Access | Times Cited: 2
Hybrid evolutionary network architecture search (HyENAS) for convolution class of deep neural networks with applications
Soniya Soniya, Lotika Singh, Sandeep Paul
Expert Systems (2021) Vol. 40, Iss. 4
Closed Access | Times Cited: 2
Deep Transfer Learning Methods for Classification Colorectal Cancer Based on Histology Images
Ahmed Sami Alhanaf, Saif Al‐jumaili, Gökhan Bilgin, et al.
2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (2022)
Open Access | Times Cited: 1
Area-Aware Colon Polyps Detection by E- Xception Model
R Parveen, Hussam Ali, Qaisar Farooq
Research Square (Research Square) (2023)
Open Access
Reptile Search Algorithm with Deep Convolutional Neural Network for Cloud Assisted Colorectal Cancer Detection and Classification
Shamik Tiwari
Tuijin Jishu/Journal of Propulsion Technology (2023) Vol. 44, Iss. 4, pp. 1057-1073
Open Access
Peer Review #3 of "Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images (v0.1)"
Dheeb Albashish
(2022)
Open Access
Peer Review #2 of "Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images (v0.1)"
Dheeb Albashish
(2022)
Open Access
Peer Review #1 of "Ensemble of adapted convolutional neural networks (CNN) methods for classifying colon histopathological images (v0.2)"
YS Taspinar
(2022)
Open Access
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