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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:

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: 32

Showing 1-25 of 32 citing articles:

Lung and Colon Cancer Classification Using Multiscale Deep Features Integration of Compact Convolutional Neural Networks and Feature Selection
Omneya Attallah
Technologies (2025) Vol. 13, Iss. 2, pp. 54-54
Open Access | Times Cited: 2
Deep Learning for Lung Cancer Diagnosis, Prognosis and Prediction Using Histological and Cytological Images: A Systematic Review
Athena S. Davri, Effrosyni Birbas, Theofilos Kanavos, et al.
Cancers (2023) Vol. 15, Iss. 15, pp. 3981-3981
Open Access | Times Cited: 30
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
Advancing Oncology Diagnostics: AI-Enabled Early Detection of Lung Cancer Through Hybrid Histological Image Analysis
Naglaa F. Noaman, Bassam M. Kanber, Ahmad Al Smadi, et al.
IEEE Access (2024) Vol. 12, pp. 64396-64415
Open Access | Times Cited: 12
Hybrid Techniques of Facial Feature Image Analysis for Early Detection of Autism Spectrum Disorder Based on Combined CNN Features
Bakri Awaji, Ebrahim Mohammed Senan, Fekry Olayah, et al.
Diagnostics (2023) Vol. 13, Iss. 18, pp. 2948-2948
Open Access | Times Cited: 17
Analysis of WSI Images by Hybrid Systems with Fusion Features for Early Diagnosis of Cervical Cancer
Mohammed Hamdi, Ebrahim Mohammed Senan, Bakri Awaji, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2538-2538
Open Access | Times Cited: 13
A Hybrid Deep Learning and Machine Learning Approach with Mobile-EfficientNet and Grey Wolf Optimizer for Lung and Colon Cancer Histopathology Classification
Raquel Ochoa-Ornelas, Alberto Gudiño-Ochoa, J A García-Rodríguez
Cancers (2024) Vol. 16, Iss. 22, pp. 3791-3791
Open Access | Times Cited: 5
A Collaborative Federated Learning Framework for Lung and Colon Cancer Classifications
Md. Munawar Hossain, Md. Robiul Islam, Md. Faysal Ahamed, et al.
Technologies (2024) Vol. 12, Iss. 9, pp. 151-151
Open Access | Times Cited: 4
ELW‐CNN: An extremely lightweight convolutional neural network for enhancing interoperability in colon and lung cancer identification using explainable AI
Shaiful Ajam Opee, Arifa Akter Eva, Asaduzzaman Noor, et al.
Healthcare Technology Letters (2025) Vol. 12, Iss. 1
Open Access
A Thorough Review of the Clinical Applications of Artificial Intelligence in Lung Cancer
Serafeim‐Chrysovalantis Kotoulas, Dionysios Spyratos, Κonstantinos Porpodis, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 882-882
Open Access
Deep Learning-Based Diagnostic Framework for Colorectal Cancer Using Histopathological Images
Ashif Al Nayem Zeesan, Shifat Islam, Abrar Fahim, et al.
(2025), pp. 0790-0795
Closed Access
A robust transfer learning approach with histopathological images for lung and colon cancer detection using EfficientNetB3
Raquel Ochoa-Ornelas, Alberto Gudiño-Ochoa, J A García-Rodríguez, et al.
Healthcare Analytics (2025), pp. 100391-100391
Open Access
Machine learning enabled classification of lung cancer cell lines co-cultured with fibroblasts with lightweight convolutional neural network for initial diagnosis
Adam Germain, Alex Sabol, Anjani Chavali, et al.
Journal of Biomedical Science (2024) Vol. 31, Iss. 1
Open Access | Times Cited: 3
Deep Learning Algorithms for Colon Cancer Detection: A Comparative Study with Traditional Machine Learning Methods
Ilhem Nabti, Zakaria Kouari, Mohamed Abderraouf Ferradji, et al.
Communications in computer and information science (2025), pp. 116-129
Closed Access
Explainable AI based Lung and Colon Cancer diagnosis using Enhanced Feature Analysis
Saumya Kumari, Resham Jha, Aarushi Ray, et al.
Procedia Computer Science (2025) Vol. 258, pp. 18-29
Open Access
Exploration and Enhancement of Classifiers in the Detection of Lung Cancer from Histopathological Images
S. Karthikeyan, Harikumar Rajaguru
Diagnostics (2023) Vol. 13, Iss. 20, pp. 3289-3289
Open Access | Times Cited: 9
The Art of YOLOv8 Algorithm in Cancer Diagnosis using Medical Imaging
N. Palanivel, S. Deivanai, G. G. Lakshmi Priya, et al.
2021 International Conference on System, Computation, Automation and Networking (ICSCAN) (2023)
Closed Access | Times Cited: 9
LungHist700: A dataset of histological images for deep learning in pulmonary pathology
Jorge Diosdado, Pere Gilabert, Santi Seguí, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Complex shape markers can detect alterations in the spatial distribution of cell nuclei in human lung squamous cell carcinoma: a useful tool for automatic analysis?
Ana Vitoria Ferreira dos Santos, Renan Gabriel da Silva Ferreira, Fernanda das Chagas Ângelo Mendes Tenório, et al.
Histochemistry and Cell Biology (2024) Vol. 163, Iss. 1
Closed Access | Times Cited: 2
Image Processing-based Resource-Efficient Transfer Learning Approach for Cancer Detection Employing Local Binary Pattern Features
Ebtisam Alabdulqader, Muhammad Umer, Khaled Alnowaiser, et al.
Mobile Networks and Applications (2024)
Closed Access | Times Cited: 1
Enhancing Lung and Colon Cancer Diagnosis: An ImageNet-Trained Transfer Learning Approach for Histopathological Image Analysis
M. Anusha, D Srinivasulu Reddy
(2024), pp. 1-4
Closed Access | Times Cited: 1
Identification of Anomalies in Lung and Colon Cancer Using Computer Vision-Based Swin Transformer with Ensemble Model on Histopathological Images
Abdulkream A. Alsulami, Aishah Albarakati, Abdullah Alghamdi, et al.
Bioengineering (2024) Vol. 11, Iss. 10, pp. 978-978
Open Access | Times Cited: 1
Innovative Deep Learning Architecture for the Classification of Lung and Colon Cancer From Histopathology Images
Menatalla Said, Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, et al.
Applied Computational Intelligence and Soft Computing (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
A Robust Tuberculosis Diagnosis Using Chest X-Rays Based on a Hybrid Vision Transformer and Principal Component Analysis
Sameh Abd El-Ghany, Mohammed Elmogy, Adham Mohamed, et al.
Diagnostics (2024) Vol. 14, Iss. 23, pp. 2736-2736
Open Access | Times Cited: 1
Exploration and Enhancement of Classifiers in the Detection of Lung Cancer from Histopathological Images
S. Karthikeyan, Harikumar Rajaguru
(2023)
Open Access | Times Cited: 3
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