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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:

Deep Learning on Histopathology Images for Breast Cancer Classification: A Bibliometric Analysis
Siti Shaliza Mohd Khairi, Mohd Aftar Abu Bakar, Mohd Almie Alias, et al.
Healthcare (2021) Vol. 10, Iss. 1, pp. 10-10
Open Access | Times Cited: 28

Showing 1-25 of 28 citing articles:

A Scientometric Analysis of Four Decades of Scientific Production in Breast Imaging: Global Collaboration and Subject Areas
Sepideh Ghalambaz
Deleted Journal (2025) Vol. 17, Iss. 4, pp. 4-31
Closed Access
Bibliometric Analysis of Breast Cancer Research in Egypt: Trends, Collaborations, and Impact
Ismail Ragab Osman
Research Square (Research Square) (2025)
Closed Access
Spatial transcriptome reveals histology-correlated immune signature learnt by deep learning attention mechanism on H&E-stained images for ovarian cancer prognosis
Chun Wai Ng, Kwong‐Kwok Wong, Barrett C. Lawson, et al.
Journal of Translational Medicine (2025) Vol. 23, Iss. 1
Open Access
A Comprehensive Bibliometric Study on AI-Guided Breast Cancer Diagnosis and Prognosis Investigating Web of Science and Scopus from 2016 to 2023
Emma Bhatti, Prabhpreet Kaur, Kiranbir Kaur, et al.
Algorithms for intelligent systems (2025), pp. 179-193
Closed Access
Bibliometric Mining of Research Trends in Machine Learning
Lars Lundberg, Martin Boldt, Anton Borg, et al.
AI (2024) Vol. 5, Iss. 1, pp. 208-236
Open Access | Times Cited: 3
Bibliometric analysis of the application of deep learning in cancer from 2015 to 2023
Ruiyu Wang, Shu Huang, Ping Wang, et al.
Cancer Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 3
Research Trends in the Application of Artificial Intelligence in Oncology: A Bibliometric and Network Visualization Study
Tom Wu, Yu Duan, Tai Zhang, et al.
Frontiers in Bioscience-Landmark (2022) Vol. 27, Iss. 9
Open Access | Times Cited: 14
Microscopic image analysis in breast cancer detection using ensemble deep learning architectures integrated with web of things
Adlin Sheeba, P. Santhosh Kumar, M. Ramamoorthy, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104048-104048
Closed Access | Times Cited: 14
Nontoxic Fluorescent Nanoprobes for Multiplexed Detection and 3D Imaging of Tumor Markers in Breast Cancer
Pavel Sokolov, Galina Nifontova, Pavel Samokhvalov, et al.
Pharmaceutics (2023) Vol. 15, Iss. 3, pp. 946-946
Open Access | Times Cited: 8
Thirty-year survey of bibliometrics used in the research literature of pain: Analysis, evolution, and pitfalls
Christian P. Robert, Concepción S. Wilson
Frontiers in Pain Research (2023) Vol. 4
Open Access | Times Cited: 5
Forecasting the air quality time series data using univariate and multivariate convolutional neural network models
Mohd Aftar Abu Bakar, Noratiqah Mohd Ariff, Pang Hwei Man, et al.
AIP conference proceedings (2024) Vol. 3080, pp. 040011-040011
Open Access | Times Cited: 1
A novel breast cancer image classification model based on multiscale texture feature analysis and dynamic learning
Jia Guo, Hao Yuan, Binghua Shi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Global Research Trends of Artificial Intelligence on Histopathological Images: A 20-Year Bibliometric Analysis
Wentong Zhou, Ziheng Deng, Bin Liu, et al.
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 18, pp. 11597-11597
Open Access | Times Cited: 6
Improved bald eagle search optimization with entropy-based deep feature fusion model for breast cancer diagnosis on digital mammograms
P. Ashwini, N. Suguna, N. Vadivelan
Multimedia Tools and Applications (2023) Vol. 83, Iss. 14, pp. 41785-41803
Closed Access | Times Cited: 3
miRNA-448 Regulates the Development of Glioblastoma (GBM) by Regulating Rho-Associated Protein Kinase 1
Liu Chang, Bin Zhu, Meng Zhong, et al.
Computational and Mathematical Methods in Medicine (2022) Vol. 2022, pp. 1-9
Open Access | Times Cited: 4
Knowledge structure and emerging trends in the application of deep learning in genetics research: A bibliometric analysis [2000–2021]
Bijun Zhang, Ting Fan
Frontiers in Genetics (2022) Vol. 13
Open Access | Times Cited: 4
Spatial transcriptome reveals histology-correlated immune signature learnt by deep learning attention mechanism on H&E–stained images for ovarian cancer prognosis
Chun Wai Ng, Kwong‐Kwok Wong, Berrett C. Lawson, et al.
Research Square (Research Square) (2024)
Open Access
An Overview of Modern Classification Methods of Histopathological Breast Cancer Scans
Przemysław Niedziela, Bogusław Cyganek
Lecture notes in networks and systems (2024), pp. 161-173
Closed Access
Enhanced Computer-Aided Digital Imaging Technique for Predictions in Breast Cancer
Sushma Nagdeote, Sapna Prabhu, Jayashri Chaudhari
Recent Advances in Electrical & Electronic Engineering (Formerly Recent Patents on Electrical & Electronic Engineering) (2024) Vol. 18, Iss. 3, pp. 325-345
Closed Access
A Bibliometric Analysis of Research on Stochastic Mortality Modelling and Forecasting
Norkhairunnisa Redzwan, Rozita Ramli
Risks (2022) Vol. 10, Iss. 10, pp. 191-191
Open Access | Times Cited: 3
Classification of Breast Histology into Benign and Malignant using ResNet-Variants: A Study with BreakHis Database
Gnanajeyaraman Rajaram, V. Rajinikanth, Bavanilatha Muthiah
(2024), pp. 479-483
Closed Access
Bibliometric perspectives in mapping the progress of river water quality index studies
Nur Huda Nabihan Md Shahri, Zalina Mohd Ali
Water quality research journal. (2024) Vol. 59, Iss. 4, pp. 232-267
Closed Access
Research Trends of Artificial Intelligence in Lung Cancer: A Combined Approach of Analysis With Latent Dirichlet Allocation and HJ‐Biplot Statistical Methods
Javier de la Hoz-M, Karime Montes Escobar, Viorkis Pérez Ortíz
Pulmonary Medicine (2024) Vol. 2024, Iss. 1
Open Access
Artificial Intelligence for the Management of Breast Cancer: An Overview
Harshita Gandhi, Kapil Kumar
Current Drug Discovery Technologies (2023) Vol. 21, Iss. 4
Closed Access | Times Cited: 1
Analisa Gambar X-Ray Mammography dengan Convolution Neural Network pada Deep Learning dengan Arsitektur Resnet
Nur Islamiati Sanusi, Siti Ramadhani, Muhammad Irsyad
Jurnal Sistem Komputer dan Informatika (JSON) (2023) Vol. 4, Iss. 4, pp. 604-604
Open Access
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