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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:

Transfer learning for histopathology images: an empirical study
Tayyab Aitazaz, Abdullah Tubaishat, Feras Al‐Obeidat, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 11, pp. 7963-7974
Closed Access | Times Cited: 21

Showing 21 citing articles:

Improving diagnosis and prognosis of lung cancer using vision transformers: a scoping review
Hazrat Ali, Farida Mohsen, Zubair Shah
BMC Medical Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 21
Comparison of Vision Transformers and Convolutional Neural Networks in Medical Image Analysis: A Systematic Review
Satoshi Takahashi, Yusuke Sakaguchi, Nobuji Kouno, et al.
Journal of Medical Systems (2024) Vol. 48, Iss. 1
Open Access | Times Cited: 12
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
Fusion strategies for deep convolutional neural network representations in histopathological image classification
Nooshin Osmani, Erfan Esmaeeli, Sorayya Rezayi
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
Benchmarking histopathology foundation models for ovarian cancer bevacizumab treatment response prediction from whole slide images
Mayur Mallya, Ali Khajegili Mirabadi, David Farnell, et al.
Discover Oncology (2025) Vol. 16, Iss. 1
Open Access
Vision transformer promotes cancer diagnosis: A comprehensive review
Xiaoyan Jiang, Shuihua Wang‎, Yudong Zhang
Expert Systems with Applications (2024) Vol. 252, pp. 124113-124113
Closed Access | Times Cited: 4
Deep learning ensemble approach with explainable AI for lung and colon cancer classification using advanced hyperparameter tuning
K. Vanitha, Mahesh Thyluru Ramakrishna, S. Sathea Sree, et al.
BMC Medical Informatics and Decision Making (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Whole Slide Image Quality in Digital Pathology: Review and Perspectives
Romain Brixtel, Sébastien Bougleux, Olivier Lézoray, et al.
IEEE Access (2022) Vol. 10, pp. 131005-131035
Open Access | Times Cited: 17
A feature engineering-based machine learning technique to detect and classify lung and colon cancer from histopathological images
Indu Chhillar, Ajmer Singh
Medical & Biological Engineering & Computing (2023) Vol. 62, Iss. 3, pp. 913-924
Closed Access | Times Cited: 7
Quantum-enhanced hybrid feature engineering in thoracic CT image analysis for state-of-the-art nodule classification: an advanced lung cancer assessment
Resham Raj Shivwanshi, Neelamshobha Nirala
Biomedical Physics & Engineering Express (2024) Vol. 10, Iss. 4, pp. 045005-045005
Closed Access | Times Cited: 2
Transforming Healthcare with Artificial Intelligence in Pakistan: A Comprehensive Overview
L. Pl ̈umer, Muhammad Hashim Khan, Yasar Ayaz
Pakistan Armed Forces Medical Journal (2023) Vol. 73, Iss. 4, pp. 955-963
Open Access | Times Cited: 6
CNN Ensemble Learning Method for Transfer learning: A Review
Yudha Islami Sulistya, Elsi Titasari Br Bangun, Dyah Aruming Tyas
ILKOM Jurnal Ilmiah (2023) Vol. 15, Iss. 1, pp. 45-63
Open Access | Times Cited: 4
Cell-Level GNN-Based Prediction of Tumor Regression Grade in Colorectal Liver Metastases From Histopathology Images
Mohamed El Amine Elforaici, Féryel Azzi, Dominique Trudel, et al.
(2024), pp. 1-5
Closed Access | Times Cited: 1
Enhancing histopathological medical image classification for Early cancer diagnosis using deep learning and explainable AI – LIME & SHAP
Chiagoziem C. Ukwuoma, Dongsheng Cai, Ebere Eziefuna, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 107014-107014
Closed Access | Times Cited: 1
Vision Transformer Features-Based Leukemia Classification
Karima Ben-Suliman, Adam Krzyżak
Lecture notes in computer science (2024), pp. 111-120
Closed Access
Ensemble learning based lung and colon cancer classification with pre-trained deep neural networks
Serkan Savaş, Osman Güler
Health and Technology (2024)
Closed Access
Building a DenseNet-Based Neural Network with Transformer and MBConv Blocks for Penile Cancer Classification
Marcos Gabriel Mendes Lauande, Geraldo Bráz, João Dallyson Sousa de Almeida, et al.
Applied Sciences (2024) Vol. 14, Iss. 22, pp. 10536-10536
Open Access
Virtual histopathology methods in medical imaging - a systematic review
Muhammad Imran, Imran Shafi, Jamil Ahmad, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access
Knowledge from Large-Scale Protein Contact Prediction Models Can Be Transferred to the Data-Scarce RNA Contact Prediction Task
Yiren Jian, Chong Gao, Chen Zeng, et al.
Lecture notes in computer science (2024), pp. 407-423
Closed Access
Lung and colon cancer detection with convolutional neural networks and adaptive histogram equalization
Aref Farhadipour
Iran Journal of Computer Science (2023) Vol. 7, Iss. 2, pp. 381-395
Closed Access | Times Cited: 1
A Critical Analysis on Early Stage of Lungs and Colon Cancer Detection Using CNN Algorithm
K. Ramesh, C Bhavadharani, V S Narmatha, et al.
(2023), pp. 291-296
Closed Access | Times Cited: 1
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