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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:

An Explainable Classification Method Based on Complex Scaling in Histopathology Images for Lung and Colon Cancer
Sudhakar Tummala, Seifedine Kadry, Ahmed Nadeem, et al.
Diagnostics (2023) Vol. 13, Iss. 9, pp. 1594-1594
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

An Efficient Combination of Convolutional Neural Network and LightGBM Algorithm for Lung Cancer Histopathology Classification
E. A. HAMED, Mohammed A.‐M. Salem, Nagwa L. Badr, et al.
Diagnostics (2023) Vol. 13, Iss. 15, pp. 2469-2469
Open Access | Times Cited: 28
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
Secure and Transparent Lung and Colon Cancer Classification Using Blockchain and Microsoft Azure
Entesar Hamed I. Eliwa, Amr Mohamed El Koshiry, Tarek Abd El‐Hafeez, et al.
Advances in respiratory medicine (2024) Vol. 92, Iss. 5, pp. 395-420
Open Access | Times Cited: 6
Integrating convolutional and recurrent neural networks for lung and colon disease detection
Anirudh Singh, Satyam Kumar, Jayesh Gangrade, et al.
Neural Computing and Applications (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
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: 15
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
Histopathological Analysis Advancements in Deep Learning for the Diagnosis of Lung and Colon Cancer with Explanatory Power via Visual Saliency
Seema Kashyap, Arvind Kumar Shukla, Iram Naim
Communications in computer and information science (2025), pp. 148-158
Closed Access
Hybrid Feature Extraction and Transfer Learning Approach for Multi-Class Histopathological Image Classification in Colorectal Cancer
Alberto Gudiño-Ochoa, Raquel Ochoa-Ornelas, Sofia Uribe-Toscano, et al.
(2025)
Closed Access
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
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
Advancements in Digital Cytopathology Since COVID-19: Insights from a Narrative Review of Review Articles
Daniele Giansanti
Healthcare (2025) Vol. 13, Iss. 6, pp. 657-657
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 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: 3
Predictive analytics of complex healthcare systems using deep learning based disease diagnosis model
Muhammad Kashif Saeed, Alanoud Al Mazroa, Bandar M. Alghamdi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
Improved Water Strider Algorithm With Convolutional Autoencoder for Lung and Colon Cancer Detection on Histopathological Images
Hamed Alqahtani, Eatedal Alabdulkreem, Faiz Abdullah Alotaibi, et al.
IEEE Access (2023) Vol. 12, pp. 949-956
Open Access | Times Cited: 7
Convolutional Neural Networks in the Diagnosis of Colon Adenocarcinoma
Marco Leo, Pierluigi Carcagnì, Luca Signore, et al.
AI (2024) Vol. 5, Iss. 1, pp. 324-341
Open Access | Times Cited: 2
Optimizing Knowledge Transfer in Sequential Models: Leveraging Residual Connections in Flow Transfer Learning for Lung Cancer Classification
Richa Sharma, Santosh Kumar, Abhishek Shrivastava, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 6
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
Weighing the benefits of lymphadenectomy in early-stage colorectal cancer
Seung Min Baik, Ryung‐Ah Lee
Annals of Surgical Treatment and Research (2023) Vol. 105, Iss. 5, pp. 245-245
Open Access | Times Cited: 2
Computer-aided colorectal cancer diagnosis: AI-driven image segmentation and classification
Çağatay Berke Erdaş
PeerJ Computer Science (2024) Vol. 10, pp. e2071-e2071
Open Access
Automated Lung and Colon Cancer Classification Using Histopathological Images
Jie Ji, Jirui Li, Weifeng Zhang, et al.
Biomedical Engineering and Computational Biology (2024) Vol. 15
Open Access
Multiple Magnification Learning: Breast Tumor Classification with Deep Learning from Histopathological Images Based on Multiple Instance Learning Concept
Son Nguyen, Hieu Le, Pham Thi Thu Hien
Lecture notes in networks and systems (2024), pp. 462-471
Closed Access
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
Transfer Learning Method Towards Lung and Colon Cancers Automated Analysis in Histopathological Images
Marwen Sakli, Chaker Essid, M. Bassem Ben Salah, et al.
(2024), pp. 1-5
Closed Access
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