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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:

Research on the Auxiliary Classification and Diagnosis of Lung Cancer Subtypes Based on Histopathological Images
Min Li, Xiaojian Ma, Chen Chen, et al.
IEEE Access (2021) Vol. 9, pp. 53687-53707
Open Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

Lung and colon cancer classification using medical imaging: a feature engineering approach
Aya Hage Chehade, Nassib Abdallah, Jean-Marie Marion, et al.
Physical and Engineering Sciences in Medicine (2022) Vol. 45, Iss. 3, pp. 729-746
Closed Access | Times Cited: 84
CRCCN-Net: Automated framework for classification of colorectal tissue using histopathological images
Anurodh Kumar, Amit Vishwakarma, Varun Bajaj
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104172-104172
Closed Access | Times Cited: 52
HRDEL: High ranking deep ensemble learning-based lung cancer diagnosis model
Kanchan Pradhan, Priyanka Chawla, Rajeev Tiwari
Expert Systems with Applications (2022) Vol. 213, pp. 118956-118956
Closed Access | Times Cited: 42
AI-based carcinoma detection and classification using histopathological images: A systematic review
Swathi Prabhu, Keerthana Prasad, Antonio Robels-Kelly, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105209-105209
Open Access | Times Cited: 36
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: 25
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: 8
Intelligent classification of lung cancer pathology images through comparative morphological feature learning
Fangfang Peng, Saihong Li
Technology and Health Care (2025)
Closed Access
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
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
Serum Raman spectroscopy combined with convolutional neural network for rapid diagnosis of HER2-positive and triple-negative breast cancer
Qinggang Zeng, Cheng Chen, Chen Chen, et al.
Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy (2022) Vol. 286, pp. 122000-122000
Closed Access | Times Cited: 30
MorphAttnNet: An Attention-based morphology framework for lung cancer subtype classification
Amitava Halder, Debangshu Dey
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105149-105149
Closed Access | Times Cited: 14
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: 4
Appositeness of Optimized and Reliable Machine Learning for Healthcare: A Survey
Subhasmita Swain, Bharat Bhushan, Gaurav Dhiman, et al.
Archives of Computational Methods in Engineering (2022) Vol. 29, Iss. 6, pp. 3981-4003
Open Access | Times Cited: 24
Hybrid models for classifying histological images: An association of deep features by transfer learning with ensemble classifier
Cléber I. de Oliveira, Marcelo Zanchetta do Nascimento, Guilherme Freire Roberto, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 8, pp. 21929-21952
Closed Access | Times Cited: 11
Mammography-based Computer-Aided Diagnostics for the Identification of Breast Cancer Based on Machine Learning
Nagajyothi Dimmita, Vanga Nagasri, K. A. Jyotsna, et al.
International journal of intelligent engineering and systems (2024) Vol. 17, Iss. 2, pp. 266-276
Open Access | Times Cited: 3
ML3CNet: Non-local means-assisted automatic framework for lung cancer subtypes classification using histopathological images
Anurodh Kumar, Amit Vishwakarma, Varun Bajaj
Computer Methods and Programs in Biomedicine (2024) Vol. 251, pp. 108207-108207
Closed Access | Times Cited: 3
Lung tumor cell classification with lightweight mobileNetV2 and attention-based SCAM enhanced faster R-CNN
V. Nisha Jenipher, S. Radhika
Evolving Systems (2024) Vol. 15, Iss. 4, pp. 1381-1398
Closed Access | Times Cited: 2
Multi-organ squamous cell carcinoma classification using feature interpretation technique for explainability
Swathi Prabhu, Keerthana Prasad, Thuong Hoang, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 2, pp. 312-326
Open Access | Times Cited: 2
Lung Cancer Detection Systems Applied to Medical Images: A State-of-the-Art Survey
Sher Lyn Tan, Ganeshsree Selvachandran, Raveendran Paramesran, et al.
Archives of Computational Methods in Engineering (2024)
Open Access | Times Cited: 2
DBAN: An improved dual branch attention network combined with serum Raman spectroscopy for diagnosis of diabetic kidney disease
Xinya Chen, Chen Chen, Xuecong Tian, et al.
Talanta (2023) Vol. 266, pp. 125052-125052
Closed Access | Times Cited: 7
Lung and Colon Cancer Classification Using Medical Imaging : A Feature Engineering Approach
Aya Hage Chehade, Nassib Abdallah, Jean-Marie Marion, et al.
Research Square (Research Square) (2022)
Open Access | Times Cited: 10
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: 5
Multiscale 3D TransUNet-aided Tumor Segmentation and Multi-Cascaded Model for Lung Cancer Diagnosis System from 3D CT Images with Fused Feature Pool Formation
GILBERT langat, Beiji Zou, Xiaoyan Kui, et al.
International Journal for Multiscale Computational Engineering (2024) Vol. 22, Iss. 6, pp. 31-64
Closed Access | Times Cited: 1
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: 1
Lung Cancer Classification and Through Deep Learning Model and Localization of Tumor
Shashank Swaroop, Shruti Sharma, S. Janarthanan
2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS) (2023) Vol. 7, pp. 1530-1534
Closed Access | Times Cited: 4
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