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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 empirical study of handcrafted and dense feature extraction techniques for lung and colon cancer classification from histopathological images
Naresh Kumar, Manoj Sharma, Vijay P. Singh, et al.
Biomedical Signal Processing and Control (2022) Vol. 75, pp. 103596-103596
Closed Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

The Matthews correlation coefficient (MCC) should replace the ROC AUC as the standard metric for assessing binary classification
Davide Chicco, Giuseppe Jurman
BioData Mining (2023) Vol. 16, Iss. 1
Open Access | Times Cited: 198
An Efficient Deep Learning Approach for Colon Cancer Detection
Ahmed Sakr, Naglaa F. Soliman, Mehdhar S. A. M. Al-Gaashani, et al.
Applied Sciences (2022) Vol. 12, Iss. 17, pp. 8450-8450
Open Access | Times Cited: 57
A Framework for Lung and Colon Cancer Diagnosis via Lightweight Deep Learning Models and Transformation Methods
Omneya Attallah, Muhammet Fatih Aslan, Kadir Sabancı
Diagnostics (2022) Vol. 12, Iss. 12, pp. 2926-2926
Open Access | Times Cited: 51
A generalized framework of feature learning enhanced convolutional neural network for pathology-image-oriented cancer diagnosis
Han Li, Peishu Wu, Zidong Wang, et al.
Computers in Biology and Medicine (2022) Vol. 151, pp. 106265-106265
Closed Access | Times Cited: 43
A review: The detection of cancer cells in histopathology based on machine vision
Wenbin He, Ting Liu, Yongjie Han, et al.
Computers in Biology and Medicine (2022) Vol. 146, pp. 105636-105636
Closed Access | Times Cited: 39
Machine learning-based models for the prediction of breast cancer recurrence risk
Duo Zuo, Lexin Yang, Yu Jin, et al.
BMC Medical Informatics and Decision Making (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 32
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
An approach to classify lung and colon cancer of histopathology images using deep feature extraction and an ensemble method
Onkar Singh, Koushlendra Kumar Singh
International Journal of Information Technology (2023) Vol. 15, Iss. 8, pp. 4149-4160
Closed Access | Times Cited: 26
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: 25
Grad-CAM-Based Explainable Artificial Intelligence Related to Medical Text Processing
Hongjian Zhang, Katsuhiko Ogasawara
Bioengineering (2023) Vol. 10, Iss. 9, pp. 1070-1070
Open Access | Times Cited: 22
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: 11
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: 11
Transformer-based semantic segmentation and CNN network for detection of histopathological lung cancer
Lareib Fatima Talib, Javeria Amin, Muhammad Nawaz Sharif, et al.
Biomedical Signal Processing and Control (2024) Vol. 92, pp. 106106-106106
Closed Access | Times Cited: 10
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
Lung and Colon Cancer Classification of Histopathology Images Using Convolutional Neural Network
Onkar Singh, Kanchan Lata Kashyap, Koushlendra Kumar Singh
SN Computer Science (2024) Vol. 5, Iss. 2
Closed Access | Times Cited: 9
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: 7
Analysis and evaluation of explainable artificial intelligence on suicide risk assessment
Hao Tang, Aref Miri Rekavandi, Dharjinder Rooprai, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
An Efficient Ranking Based Binary Salp Swarm Optimization For Feature Selection in High Dimensional Datasets
S. Jayachitra, M. Balasubramani, Abdullah Mohammed Kaleem, et al.
Measurement Sensors (2024) Vol. 35, pp. 101291-101291
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: 15
A Hybrid Machine Learning Approach to Screen Optimal Predictors for the Classification of Primary Breast Tumors from Gene Expression Microarray Data
Nashwan Alromema, Asif Hassan, Tabrej Khan
Diagnostics (2023) Vol. 13, Iss. 4, pp. 708-708
Open Access | Times Cited: 14
Colorectal cancer detection based on convolutional neural networks (CNN) and ranking algorithm
A Karthikeyan, S. Jothilakshmi, S. Suthir
Measurement Sensors (2023) Vol. 31, pp. 100976-100976
Open Access | Times Cited: 13
Advancing cancer diagnosis and prognostication through deep learning mastery in breast, colon, and lung histopathology with ResoMergeNet
Chukwuebuka Joseph Ejiyi, Zhen Qin, Victor Kwaku Agbesi, et al.
Computers in Biology and Medicine (2024) Vol. 185, pp. 109494-109494
Closed 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
Enhancing lung cancer diagnostic accuracy and reliability with LCDViT: an expressly developed vision transformer model featuring explainable AI
Amol Satsangi, K. Srinivas, A. Charan Kumari
Multimedia Tools and Applications (2025)
Closed Access
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