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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:

Leveraging Marine Predators Algorithm with Deep Learning for Lung and Colon Cancer Diagnosis
Hanan Abdullah Mengash, Mohammad Alamgeer, Mashael Maashi, et al.
Cancers (2023) Vol. 15, Iss. 5, pp. 1591-1591
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

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: 27
Biomedical Image Analysis for Colon and Lung Cancer Detection Using Tuna Swarm Algorithm With Deep Learning Model
Marwa Obayya, Munya A. Arasi, Nuha Alruwais, et al.
IEEE Access (2023) Vol. 11, pp. 94705-94712
Open Access | Times Cited: 23
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: 10
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
Enhancing early lung cancer detection with MobileNet: A comprehensive transfer learning approach
Raquel Ochoa-Ornelas, Alberto Gudiño-Ochoa, J A García-Rodríguez, et al.
Franklin Open (2025), pp. 100222-100222
Open 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
Auxiliary meta-learning strategy for cancer recognition: leveraging external data and optimized feature mapping
Kang Wang, Xihong Fei, Lei Su, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
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
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: 14
A Novel Deep Learning Approach for Accurate Cancer Type and Subtype Identification
Jabed Omar Bappi, Mohammad Abu Tareq Rony, Mohammad Shariful Islam, et al.
IEEE Access (2024) Vol. 12, pp. 94116-94134
Open Access | Times Cited: 4
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
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
Personalized Plasma Medicine for Cancer: Transforming Treatment Strategies with Mathematical Modeling and Machine Learning Approaches
Viswambari Devi Ramaswamy, Michael Keidar
Applied Sciences (2023) Vol. 14, Iss. 1, pp. 355-355
Open Access | Times Cited: 6
Detection of Lung and Colon Cancer using Average and Weighted Average Ensemble Models
Hemalatha Gunasekaran, S. Deepa Kanmani, A. Shamila Ebenezer, et al.
EAI Endorsed Transactions on Pervasive Health and Technology (2024) Vol. 10
Open Access | Times Cited: 1
A Novel Optimized Colonic adenocarcinoma Detection using Deep Transfer Learning Approach with XceptionTS Model
Rakesh Kumar Patnaik
Deleted Journal (2024) Vol. 20, Iss. 7s, pp. 816-830
Open Access | Times Cited: 1
An Advanced Lung Carcinoma Prediction and Risk Screening Model Using Transfer Learning
Isha Bhatia, Aarti Aarti, Syed Immamul Ansarullah, et al.
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1378-1378
Open Access | Times Cited: 1
Augmented histopathology: Enhancing colon cancer detection through deep learning and ensemble techniques
J. Gowthamy, S. S. Subashka Ramesh
Microscopy Research and Technique (2024)
Closed Access | Times Cited: 1
Automatic lung cancer detection and classification using Modified Golf Optimization with densenet classifier
S. Shanthi, J.A. Smitha, S. Saradha
International Journal of Information Technology (2024)
Closed Access
Marine Predators Algorithm with Deep Learning-Based Leukemia Cancer Classification on Medical Images
Sonali Das, Saroja Kumar Rout, Sujit Kumar Panda, et al.
Computer Modeling in Engineering & Sciences (2024) Vol. 141, Iss. 1, pp. 893-916
Open Access
Advancing Cancer Diagnosis with LungColonGuard: A Deep Learning Framework For Lung and Colon Cancer Detection From Histopathological Image
Farhana Sultana Eshita, Abu Bakar Siddique Mahi, Aloke Kumar Saha, et al.
Lecture notes in networks and systems (2024), pp. 334-345
Closed Access
Advancements and Challenges in the Image-Based Diagnosis of Lung and Colon Cancer: A Comprehensive Review
Pragati Patharia, Prabira Kumar Sethy, Aziz Nanthaamornphong
Cancer Informatics (2024) Vol. 23
Open Access
Biomedical Image Analysis for Colon and Lung Cancer Detection using CNN
M. Pandu Babu, Mr.M.Viswateja Reddy, M Reddy, et al.
IJARCCE (2024) Vol. 13, Iss. 4
Open 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
Multiple instance learning method based on convolutional neural network and self-attention for early cancer detection
Junjiang Liu, Shusen Zhou, Mujun Zang, et al.
Computer Methods in Biomechanics & Biomedical Engineering (2024), pp. 1-16
Closed Access
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