Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

A Brief Survey on Breast Cancer Diagnostic With Deep Learning Schemes Using Multi-Image Modalities
Tariq Mahmood, Jianqiang Li, Yan Pei, et al.
IEEE Access (2020) Vol. 8, pp. 165779-165809
Open Access | Times Cited: 103

Showing 26-50 of 103 citing articles:

AI‐Driven Microscopy: Cutting‐Edge Approach for Breast Tissue Prognosis Using Microscopic Images
Tariq Mahmood, Tanzila Saba, Shaha Al‐Otaibi, et al.
Microscopy Research and Technique (2025)
Closed Access
A multi-patch-based deep learning model with VGG19 for breast cancer classifications in the pathology images
Anitha Ponraj, P. Nagaraj, D. Balakrishnan, et al.
Digital Health (2025) Vol. 11
Open Access
A novel aggregated coefficient ranking based feature selection strategy for enhancing the diagnosis of breast cancer classification using machine learning
E. Sreehari, L. D. Dhinesh Babu
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Quantum computational infusion in extreme learning machines for early multi-cancer detection
Anas Bilal, Muhammad Shafiq, Waeal J. Obidallah, et al.
Journal Of Big Data (2025) Vol. 12, Iss. 1
Open Access
Skin cancer detection using dermoscopic images with convolutional neural network
Khadija Nawaz, Alvina Zanib, Iqra Shabir, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Image‐Based Breast Cancer Histopathology Classification and Diagnosis Using Deep Learning Approaches
Lama A. Aldakhil, Haifa F. Alhasson, Shuaa S. Alharbi, et al.
Applied Computational Intelligence and Soft Computing (2025) Vol. 2025, Iss. 1
Open Access
Classification model of machine learning for medical data analysis
Rohini Srivastava, Shailesh Kumar, Basant Kumar
Elsevier eBooks (2023), pp. 111-132
Closed Access | Times Cited: 13
Rapid tri-net: breast cancer classification from histology images using rapid tri-attention network
Pallavi Bhanudas Salunkhe, Pravin S. Patil
Multimedia Tools and Applications (2024) Vol. 83, Iss. 30, pp. 74625-74655
Closed Access | Times Cited: 4
Deep Learning Paradigms for Breast Cancer Diagnosis: A Comparative Study on Wisconsin Diagnostic Dataset
Akinul Islam Jony, Arjun Kumar Bose Arnob
Malaysian Journal of Science and Advanced Technology (2024), pp. 109-117
Open Access | Times Cited: 4
An Automatic Detection and Localization of Mammographic Microcalcifications ROI with Multi-Scale Features Using the Radiomics Analysis Approach
Tariq Mahmood, Jianqiang Li, Yan Pei, et al.
Cancers (2021) Vol. 13, Iss. 23, pp. 5916-5916
Open Access | Times Cited: 27
Breast Cancer Classification using CNN with Transfer Learning Models
Ch. Rajendra Prasad, Banothu Arun, Soma Amulya, et al.
2022 International Conference for Advancement in Technology (ICONAT) (2023), pp. 1-5
Closed Access | Times Cited: 11
Breast cancer diagnosis based on hybrid SqueezeNet and improved chef-based optimizer
Qirui Huang, Huan Ding, Mehdi Effatparvar
Expert Systems with Applications (2023) Vol. 237, pp. 121470-121470
Closed Access | Times Cited: 11
Breast cancer diagnosis using hybrid AlexNet-ELM and chimp optimization algorithm evolved by Nelder-mead simplex approach
Cao Junyue, Diyar Qader Zeebaree, Qingfeng Chen, et al.
Biomedical Signal Processing and Control (2023) Vol. 85, pp. 105053-105053
Closed Access | Times Cited: 10
FastLeakyResNet-CIR: A Novel Deep Learning Framework for Breast Cancer Detection and Classification
Ruiming Zeng, Boan Qu, Wei Liu, et al.
IEEE Access (2024) Vol. 12, pp. 70825-70832
Closed Access | Times Cited: 3
Attention-Based Deep Learning Approach for Breast Cancer Histopathological Image Multi-Classification
Lama A. Aldakhil, Haifa F. Alhasson, Shuaa S. Alharbi
Diagnostics (2024) Vol. 14, Iss. 13, pp. 1402-1402
Open Access | Times Cited: 3
Diagnosis system for cancer disease using a single setting approach
Hemanta Kumar Bhuyan, A. Vijayaraj, Vinayakumar Ravi
Multimedia Tools and Applications (2023) Vol. 82, Iss. 30, pp. 46241-46267
Closed Access | Times Cited: 9
State-of-the-Art Challenges and Perspectives in Multi-Organ Cancer Diagnosis via Deep Learning-Based Methods
Saqib Ali, Jianqiang Li, Yan Pei, et al.
Cancers (2021) Vol. 13, Iss. 21, pp. 5546-5546
Open Access | Times Cited: 22
Design Guidelines for Mammogram-Based Computer-Aided Systems Using Deep Learning Techniques
Farnoosh Azour, Azzedine Boukerche
IEEE Access (2022) Vol. 10, pp. 21701-21726
Open Access | Times Cited: 15
A systematic review of machine and deep learning techniques for the identification and classification of breast cancer through medical image modalities
Neha Thakur, Pardeep Kumar, A. P. Siva Kumar
Multimedia Tools and Applications (2023) Vol. 83, Iss. 12, pp. 35849-35942
Closed Access | Times Cited: 8
An Optimized Role-Based Access Control Using Trust Mechanism in E-Health Cloud Environment
Ateeq Ur Rehman Butt, Tariq Mahmood, Tanzila Saba, et al.
IEEE Access (2023) Vol. 11, pp. 138813-138826
Open Access | Times Cited: 8
Alzheimer’s disease unveiled: Cutting-edge multi-modal neuroimaging and computational methods for enhanced diagnosis
Tariq Mahmood, Amjad Rehman, Tanzila Saba, et al.
Biomedical Signal Processing and Control (2024) Vol. 97, pp. 106721-106721
Closed Access | Times Cited: 2
Breast Mass Detection and Classification Using Deep Convolutional Neural Networks for Radiologist Diagnosis Assistance
Tariq Mahmood, Jianqiang Li, Yan Pei, et al.
2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC) (2021), pp. 1918-1923
Closed Access | Times Cited: 18
Region‐Based Segmentation and Classification for Ovarian Cancer Detection Using Convolution Neural Network
L. K. Hema, R. Manikandan, Majid Alhomrani, et al.
Contrast Media & Molecular Imaging (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 13
A robust encoder decoder based weighted segmentation and dual staged feature fusion based meta classification for breast cancer utilizing ultrasound imaging
Md Hasib Al Muzdadid Haque Himel, Pallab Chowdhury, Md. Al Mehedi Hasan
Intelligent Systems with Applications (2024) Vol. 22, pp. 200367-200367
Open Access | Times Cited: 2
Optimizing Breast Cancer Prediction: A Multimodal Dataset Apporach with XGBOOST
M. Dharani, C. Radhakrishnan
2021 International Conference on Emerging Smart Computing and Informatics (ESCI) (2024), pp. 1-8
Closed Access | Times Cited: 2

Scroll to top