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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:

Automated breast cancer detection by reconstruction independent component analysis (RICA) based hybrid features using machine learning paradigms
Lal Hussain, Shahzad Ahmad Qureshi, Amjad Aldweesh, et al.
Connection Science (2022) Vol. 34, Iss. 1, pp. 2784-2806
Closed Access | Times Cited: 11

Showing 11 citing articles:

pAtbP-EnC: Identifying Anti-Tubercular Peptides Using Multi-Feature Representation and Genetic Algorithm-Based Deep Ensemble Model
Shahid Akbar, Ali Raza, Tamara Al Shloul, et al.
IEEE Access (2023) Vol. 11, pp. 137099-137114
Open Access | Times Cited: 53
Using hybrid pre-trained models for breast cancer detection
Sameh Zarif, Hatem Abdul-Kader, Ibrahim Sayed Elaraby, et al.
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0296912-e0296912
Open Access | Times Cited: 9
Enhancing lung cancer detection through hybrid features and machine learning hyperparameters optimization techniques
Liangyu Li, Jing Yang, Lip Yee Por, et al.
Heliyon (2024) Vol. 10, Iss. 4, pp. e26192-e26192
Open Access | Times Cited: 9
Machine Learning Classification Algorithms for Accurate Breast Cancer Diagnosis
Mowafaq Salem Alzboon, Sami Qawasmeh, Muhyeeddin Alqaraleh, et al.
(2023), pp. 1-8
Closed Access | Times Cited: 18
Ensemble-based multiclass lung cancer classification using hybrid CNN-SVD feature extraction and selection method
Md Sabbir Hossain, Nabamita Basak, Md. Aslam Mollah, et al.
PLoS ONE (2025) Vol. 20, Iss. 3, pp. e0318219-e0318219
Open Access
TOWARD EFFECTIVE BREAST CANCER DETECTION IN THERMAL IMAGES USING EFFICIENT FEATURE SELECTION ALGORITHM AND FEATURE EXTRACTION METHODS
Seyedeh Maryam Zareh Moayedi, Abdalhossein Rezai, Seyedeh Shahrbanoo Fallaheye Hamidpour
Biomedical Engineering Applications Basis and Communications (2024) Vol. 36, Iss. 02
Closed Access | Times Cited: 2
Power of kernel functions, its benefits, and limitations
Richa Indu, Sushil Chandra Dimri
(2023), pp. 1-7
Closed Access | Times Cited: 2
Comparative analysis of features and classification techniques in breast cancer detection for Biglycan biomarker images
Jumana Ma’touq, Nasim Alnuman
Cancer Biomarkers (2024) Vol. 40, Iss. 3-4, pp. 263-273
Open Access
Improving Lungs Cancer Detection Based on Hybrid Features and Employing Machine Learning Techniques
Jing Yang, Lip Yee Por, Abdullah Ayub Khan, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 1
A Study on Computer Aided Techniques for Histopathology Based Breast Cancer Classification
A Sumitha, R. S. Rimal Isaac
(2023), pp. 657-662
Closed Access
Signage Detection Based on Adaptive SIFT
Jiaji Wang, Shuwen Chen, Jiaqi Shao, et al.
Smart innovation, systems and technologies (2023), pp. 141-152
Closed Access
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