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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 and optimization algorithms for automatic breast cancer detection
Zijun Sha, Lin Hu, Babak Daneshvar Rouyendegh
International Journal of Imaging Systems and Technology (2020) Vol. 30, Iss. 2, pp. 495-506
Closed Access | Times Cited: 79

Showing 1-25 of 79 citing articles:

A Novel Deep-Learning Model for Automatic Detection and Classification of Breast Cancer Using the Transfer-Learning Technique
Abeer Saber, Mohamed Sakr, Osama M. Abo-Seida, et al.
IEEE Access (2021) Vol. 9, pp. 71194-71209
Open Access | Times Cited: 280
IoMT Cloud-Based Intelligent Prediction of Breast Cancer Stages Empowered With Deep Learning
Shahan Yamin Siddiqui, Amir Haider, Taher M. Ghazal, et al.
IEEE Access (2021) Vol. 9, pp. 146478-146491
Open Access | Times Cited: 193
Semantic segmentation of breast cancer images using DenseNet with proposed PSPNet
Suresh Samudrala, C. Krishna Mohan
Multimedia Tools and Applications (2023) Vol. 83, Iss. 15, pp. 46037-46063
Closed Access | Times Cited: 54
Breast cancer diagnosis: A systematic review
Xin Wen, Xing Guo, Shuihua Wang‎, et al.
Journal of Applied Biomedicine (2024) Vol. 44, Iss. 1, pp. 119-148
Open Access | Times Cited: 16
Applied machine learning in cancer research: A systematic review for patient diagnosis, classification and prognosis
Κωνσταντίνα Κούρου, Konstantinos Exarchos, Costas Papaloukas, et al.
Computational and Structural Biotechnology Journal (2021) Vol. 19, pp. 5546-5555
Open Access | Times Cited: 83
Breast lesions classifications of mammographic images using a deep convolutional neural network-based approach
Tariq Mahmood, Jianqiang Li, Yan Pei, et al.
PLoS ONE (2022) Vol. 17, Iss. 1, pp. e0263126-e0263126
Open Access | Times Cited: 61
A Comprehensive Survey on Deep-Learning-Based Breast Cancer Diagnosis
M. F. Mridha, Md. Abdul Hamid, Muhammad Mostafa Monowar, et al.
Cancers (2021) Vol. 13, Iss. 23, pp. 6116-6116
Open Access | Times Cited: 58
Breast cancer detection in mammogram: combining modified CNN and texture feature based approach
Jayesh George Melekoodappattu, Anto Sahaya Dhas, Binil Kumar Kandathil, et al.
Journal of Ambient Intelligence and Humanized Computing (2022) Vol. 14, Iss. 9, pp. 11397-11406
Closed Access | Times Cited: 55
Breast cancer diagnosis using Orca predation optimization algorithm
P. Kaladevi, V.V. Punitha, D. Muthusankar, et al.
Journal of Intelligent & Fuzzy Systems (2023) Vol. 45, Iss. 3, pp. 3855-3873
Closed Access | Times Cited: 27
Harnessing the power of radiomics and deep learning for improved breast cancer diagnosis with multiparametric breast mammography
Tariq Mahmood, Tanzila Saba, Amjad Rehman, et al.
Expert Systems with Applications (2024) Vol. 249, pp. 123747-123747
Closed Access | Times Cited: 13
Attention-Based Ensemble Network for Effective Breast Cancer Classification over Benchmarks
Su Myat Thwin, Sharaf J. Malebary, Anas W. Abulfaraj, et al.
Technologies (2024) Vol. 12, Iss. 2, pp. 16-16
Open Access | Times Cited: 7
An Automated In-Depth Feature Learning Algorithm for Breast Abnormality Prognosis and Robust Characterization from Mammography Images Using Deep Transfer Learning
Tariq Mahmood, Jianqiang Li, Yan Pei, et al.
Biology (2021) Vol. 10, Iss. 9, pp. 859-859
Open Access | Times Cited: 54
Exploration of Financial Market Credit Scoring and Risk Management and Prediction Using Deep Learning and Bionic Algorithm
Peng Du, Hong Shu
Journal of Global Information Management (2021) Vol. 30, Iss. 9, pp. 1-29
Open Access | Times Cited: 48
A novel deep learning approach to enhance creditworthiness evaluation and ethical lending practices in the economy
Xiaoyan Qian, Huifen Cai, Nisreen Innab, et al.
Annals of Operations Research (2024)
Closed Access | Times Cited: 5
Diagnostic Strategies for Breast Cancer Detection: From Image Generation to Classification Strategies Using Artificial Intelligence Algorithms
Jesus A. Basurto-Hurtado, Irving A. Cruz‐Albarran, Manuel Toledano‐Ayala, et al.
Cancers (2022) Vol. 14, Iss. 14, pp. 3442-3442
Open Access | Times Cited: 23
A fuzzy rule‐based system with decision tree for breast cancer detection
Vedika Gupta, Harshit Gaur, Srishti Vashishtha, et al.
IET Image Processing (2023) Vol. 17, Iss. 7, pp. 2083-2096
Open Access | Times Cited: 12
Advanced Hybridization and Optimization of DNNs for Medical Imaging: A Survey on Disease Detection Techniques
Maneet Kaur Bohmrah, Harjot Kaur
Artificial Intelligence Review (2025) Vol. 58, Iss. 4
Open Access
A review paper on intelligent heuristic-based deep learning structure for the observation of breast cancer
Manish Soni, C. S. Raghuvansi, C.L.P. Gupta
AIP conference proceedings (2025) Vol. 3262, pp. 020010-020010
Closed Access
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
An IoT-Based Framework and Ensemble Optimized Deep Maxout Network Model for Breast Cancer Classification
Jyothi Peta, Srinivas Koppu
Electronics (2022) Vol. 11, Iss. 24, pp. 4137-4137
Open Access | Times Cited: 17
Detection and classification of breast cancer from digital mammograms using hybrid extreme learning machine classifier
Jayesh George Melekoodappattu, Perumal Sankar Subbian, M. P. Flower Queen
International Journal of Imaging Systems and Technology (2020) Vol. 31, Iss. 2, pp. 909-920
Closed Access | Times Cited: 26
An automated and fast system to identify COVID‐19 from X‐ray radiograph of the chest using image processing and machine learning
Murtaza Ali Khan
International Journal of Imaging Systems and Technology (2021) Vol. 31, Iss. 2, pp. 499-508
Open Access | Times Cited: 20
Intelligent breast cancer diagnostic system empowered by deep extreme gradient descent optimization
Muhammad Bilal Khan, Atta Rahman, Muhammad Saqib Nawaz, et al.
Mathematical Biosciences & Engineering (2022) Vol. 19, Iss. 8, pp. 7978-8002
Open Access | Times Cited: 15
Breast lesion classification from mammograms using deep neural network and test-time augmentation
Parita Oza, Paawan Sharma, Samir Patel
Neural Computing and Applications (2023) Vol. 36, Iss. 4, pp. 2101-2117
Closed Access | Times Cited: 8
An enhanced version of Harris Hawks Optimization by dimension learning-based hunting for Breast Cancer Detection
Navneet Kaur, Lakhwinder Kaur, Sikander Singh Cheema
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 18
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