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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:

Detection of Breast Cancer Through Mammogram Using Wavelet-Based LBP Features and IWD Feature Selection Technique
Dhruba Jyoti Kalita, Vibhav Prakash Singh, Vinay Kumar
SN Computer Science (2022) Vol. 3, Iss. 2
Closed Access | Times Cited: 11

Showing 11 citing articles:

Improved intelligent water drop-based hybrid feature selection method for microarray data processing
Esraa Alhenawi, Rizik Al-Sayyed, Amjad Hudaib, et al.
Computational Biology and Chemistry (2023) Vol. 103, pp. 107809-107809
Closed Access | Times Cited: 15
Challenges to the Early Diagnosis of Breast Cancer: Current Scenario and the Challenges Ahead
Ankita Sinha, M. Nazma B. J. Naskar, Manjusha Pandey, et al.
SN Computer Science (2024) Vol. 5, Iss. 1
Closed Access | Times Cited: 4
Detection and classification of breast cancer in mammogram images using entropy-based Fuzzy C-Means Clustering and RMCNN
Rehna Kalam, Ciza Thomas
Multimedia Tools and Applications (2024) Vol. 83, Iss. 24, pp. 64853-64878
Closed Access | Times Cited: 3
A Diagnostic Model of Breast Cancer Based on Digital Mammogram Images Using Machine Learning Techniques
Farouk Al-Fahaidy, Belal Al-Fuhaidi, Ishaq AL-Darouby, et al.
Applied Computational Intelligence and Soft Computing (2022) Vol. 2022, pp. 1-17
Open Access | Times Cited: 17
Intelligent breast cancer diagnosis with two-stage using mammogram images
Muhammad Yaqub, Jinchao Feng, Nazish Aijaz, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Deep Learning-Based Computer-Aided Diagnosis Model for the Identification and Classification of Mammography Images
Sumit Kumar, Bhupati Bhupati, Pawan Bhambu, et al.
SN Computer Science (2023) Vol. 4, Iss. 5
Closed Access | Times Cited: 3
A bio-medical snake optimizer system driven by logarithmic surviving global search for optimizing feature selection and its application for disorder recognition
Ruba Abu Khurma, Esraa Alhenawi, Malik Braik, et al.
Journal of Computational Design and Engineering (2023) Vol. 10, Iss. 6, pp. 2361-2383
Open Access | Times Cited: 3
AST-CNN: Innovative Breast Cancer Detection with Salp Swarm Optimization
G. Kalpana, N. Deepa
2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON) (2023), pp. 1441-1446
Closed Access | Times Cited: 2
High-performance breast cancer diagnosis method using hybrid feature selection method
Mohammad Moradi, Abdalhossein Rezai
Biomedical Engineering / Biomedizinische Technik (2024)
Closed Access
Automated Melanoma Skin Disease Detection Using the Spike Herd Search Algorithm
Kamal Kumar Gola, Gulista Khan, Rohit Kanauzia, et al.
IETE Journal of Research (2023) Vol. 70, Iss. 6, pp. 5691-5703
Closed Access | Times Cited: 1
Heuristically optimized weighted feature fusion with adaptive cascaded deep network: a novel breast cancer detection framework using mammogram images
Amarjeet Poonia, Virendra Kumar Sharma, Hari Singh, et al.
Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization (2023) Vol. 11, Iss. 7
Closed Access | Times Cited: 1
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