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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:

MTRRE-Net: A deep learning model for detection of breast cancer from histopathological images
Soham Chattopadhyay, Arijit Dey, Pawan Kumar Singh, et al.
Computers in Biology and Medicine (2022) Vol. 150, pp. 106155-106155
Closed Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

Wrapper-based deep feature optimization for activity recognition in the wearable sensor networks of healthcare systems
Karam Kumar Sahoo, Raghunath Ghosh, Saurav Mallik, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 28
Deep learning approaches to detect breast cancer: a comprehensive review
Amir Mohammad Sharafaddini, Kiana Kouhpah Esfahani, N. Mansouri
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 9
Decoding the black box: Explainable AI (XAI) for cancer diagnosis, prognosis, and treatment planning-A state-of-the art systematic review
Youssef Alaaeldin Ali Mohamed, Bee Luan Khoo, Mohd Shahrimie Mohd Asaari, et al.
International Journal of Medical Informatics (2024) Vol. 193, pp. 105689-105689
Closed Access | Times Cited: 9
Deep learning approaches for breast cancer detection in histopathology images: A review
Lakshmi Priya C V, Vinai George Biju, B. Vinod, et al.
Cancer Biomarkers (2024) Vol. 40, Iss. 1, pp. 1-25
Open Access | Times Cited: 8
A patch-based deep learning framework with 5-B network for breast cancer multi-classification using histopathological images
Jehoiada Jackson, L. Jackson, Chiagoziem C. Ukwuoma, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 148, pp. 110439-110439
Closed Access | Times Cited: 1
A hybrid lightweight breast cancer classification framework using the histopathological images
Daniel Addo, Shijie Zhou, Kwabena Sarpong, et al.
Journal of Applied Biomedicine (2023) Vol. 44, Iss. 1, pp. 31-54
Closed Access | Times Cited: 22
Accuracy Analysis of Deep Learning Methods in Breast Cancer Classification: A Structured Review
Marina Yusoff, Toto Haryanto, Heru Suhartanto, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 683-683
Open Access | Times Cited: 21
MDFF-Net: A multi-dimensional feature fusion network for breast histopathology image classification
Cheng Xu, Ke Yi, Nan Jiang, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107385-107385
Closed Access | Times Cited: 18
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: 6
CCF-GNN: A Unified Model Aggregating Appearance, Microenvironment, and Topology for Pathology Image Classification
Hongxiao Wang, Gang Huang, Zhuo Zhao, et al.
IEEE Transactions on Medical Imaging (2023) Vol. 42, Iss. 11, pp. 3179-3193
Closed Access | Times Cited: 13
Exploratory drug discovery in breast cancer patients: A multimodal deep learning approach to identify novel drug candidates targeting RTK signaling
Anush Karampuri, Sunitha Kundur, Perugu Shyam
Computers in Biology and Medicine (2024) Vol. 174, pp. 108433-108433
Closed Access | Times Cited: 5
A Multi-Stage Approach to Breast Cancer Classification Using Histopathology Images
Arnab Bagchi, Payel Pramanik, Ram Sarkar
Diagnostics (2022) Vol. 13, Iss. 1, pp. 126-126
Open Access | Times Cited: 20
Breast Cancer Prediction using Machine Learning Models
Orlando Iparraguirre-Villanueva, Andrés Epifanía-Huerta, Carmen Torres-Ceclén, et al.
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 2
Open Access | Times Cited: 11
Breast Cancer Histopathological Image Classification Based on Graph Assisted Global Reasoning
Xiaolong Zhao, Xiaowei Du
Deleted Journal (2025)
Closed Access
Cosine Additive Angular Margin Loss for Breast Cancer Classification in Histopathological Images with Small AI Systems
Pendar Alirezazadeh, Fadi Dornaika, Abdelmalik Moujahid
ACM Transactions on Intelligent Systems and Technology (2025)
Closed Access
Accurate phenotyping of luminal A breast cancer in magnetic resonance imaging: A new 3D CNN approach
João Fontes, João Nuno Centeno Raimundo, Luís Magalhães, et al.
Computers in Biology and Medicine (2025) Vol. 189, pp. 109903-109903
Open Access
Integrating sparse graph convolution and capsule networks for superior breast cancer diagnosis
P. Manju Bala, U. Palani
Evolving Systems (2025) Vol. 16, Iss. 2
Closed Access
SECS: An effective CNN joint construction strategy for breast cancer histopathological image classification
Dianzhi Yu, Jianwu Lin, Tengbao Cao, et al.
Journal of King Saud University - Computer and Information Sciences (2023) Vol. 35, Iss. 2, pp. 810-820
Open Access | Times Cited: 10
Boosted Additive Angular Margin Loss for breast cancer diagnosis from histopathological images
Pendar Alirezazadeh, Fadi Dornaika
Computers in Biology and Medicine (2023) Vol. 166, pp. 107528-107528
Closed Access | Times Cited: 7
SkinViT: A transformer based method for Melanoma and Nonmelanoma classification
Somaiya Khan, Ali Khan
PLoS ONE (2023) Vol. 18, Iss. 12, pp. e0295151-e0295151
Open Access | Times Cited: 7
Ensemble approach of deep learning models for binary and multiclass classification of histopathological images for breast cancer
Madhumita Pal, Ganapati Panda, Ranjan K. Mohapatra, et al.
Pathology - Research and Practice (2024) Vol. 263, pp. 155644-155644
Closed Access | Times Cited: 2
Pyramid-based self-supervised learning for histopathological image classification
Junjie Wang, Hao Quan, Chengguang Wang, et al.
Computers in Biology and Medicine (2023) Vol. 165, pp. 107336-107336
Closed Access | Times Cited: 6
SkinSwinViT: A Lightweight Transformer-Based Method for Multiclass Skin Lesion Classification with Enhanced Generalization Capabilities
Kun Tang, Jing Su, Ruihan Chen, et al.
Applied Sciences (2024) Vol. 14, Iss. 10, pp. 4005-4005
Open Access | Times Cited: 1
Deep learning-based risk stratification of preoperative breast biopsies using digital whole slide images
Constance Boissin, Yinxi Wang, Abhinav Sharma, et al.
Breast Cancer Research (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 1
Development of an Expert-Level Right Ventricular Abnormality Detection Algorithm Based on Deep Learning
Zeye Liu, Hang Li, Wenchao Li, et al.
Interdisciplinary Sciences Computational Life Sciences (2023) Vol. 15, Iss. 4, pp. 653-662
Closed Access | Times Cited: 2
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