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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:

Artificial intelligence based medical decision support system for early and accurate breast cancer prediction
Law Kumar Singh, Munish Khanna, Rekha Singh
Advances in Engineering Software (2022) Vol. 175, pp. 103338-103338
Closed Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

Artificial intelligence in cancer diagnosis and therapy: Current status and future perspective
Muhammad Sufyan, Zeeshan Shokat, Usman Ali Ashfaq
Computers in Biology and Medicine (2023) Vol. 165, pp. 107356-107356
Closed Access | Times Cited: 75
Federated learning aided breast cancer detection with intelligent Heuristic-based deep learning framework
Savita Kumbhare, Atul B. Kathole, Swati Shinde
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105080-105080
Closed Access | Times Cited: 50
An enhanced soft-computing based strategy for efficient feature selection for timely breast cancer prediction: Wisconsin Diagnostic Breast Cancer dataset case
Law Kumar Singh, Munish Khanna, Rekha Singh
Multimedia Tools and Applications (2024) Vol. 83, Iss. 31, pp. 76607-76672
Closed Access | Times Cited: 17
A Light Gradient-Boosting Machine algorithm with Tree-Structured Parzen Estimator for breast cancer diagnosis
Temidayo Oluwatosin Omotehinwa, David Opeoluwa Oyewola, Emmanuel Gbenga Dada
Healthcare Analytics (2023) Vol. 4, pp. 100218-100218
Open Access | Times Cited: 32
A novel enhanced hybrid clinical decision support system for accurate breast cancer prediction
Law Kumar Singh, Munish Khanna, Rekha Singh
Measurement (2023) Vol. 221, pp. 113525-113525
Closed Access | Times Cited: 26
WHRIME: A weight-based recursive hierarchical RIME optimizer for breast cancer histopathology image segmentation
Jie Xing, Ali Asghar Heidari, Huiling Chen, et al.
Displays (2024) Vol. 82, pp. 102648-102648
Closed Access | Times Cited: 11
VELM: a voting based ensemble learning model for breast cancer prediction
Archana Singh, Kuldeep Singh Kaswan, Rajani Rajani
Physica Scripta (2025) Vol. 100, Iss. 2, pp. 026002-026002
Closed Access | Times Cited: 1
Enhancing Breast Cancer Detection and Classification Using Advanced Multi-Model Features and Ensemble Machine Learning Techniques
Mana Saleh Al Reshan, Samina Amin, Muhammad Ali Zeb, et al.
Life (2023) Vol. 13, Iss. 10, pp. 2093-2093
Open Access | Times Cited: 21
New design strategies of deep heterogenous convolutional neural networks ensembles for breast cancer diagnosis
Hasnae Zerouaoui, Omar El Alaoui, Ali Idri
Multimedia Tools and Applications (2024) Vol. 83, Iss. 24, pp. 65189-65220
Closed Access | Times Cited: 8
Efficient feature selection for breast cancer classification using soft computing approach: A novel clinical decision support system
Law Kumar Singh, Munish Khanna, Rekha Singh
Multimedia Tools and Applications (2023) Vol. 83, Iss. 14, pp. 43223-43276
Closed Access | Times Cited: 15
An Explainable Artificial Intelligence Model for the Classification of Breast Cancer
Tarek Khater, Abir Hussain, Riyad Bendardaf, et al.
IEEE Access (2023), pp. 1-1
Open Access | Times Cited: 14
Simultaneously feature selection and parameters optimization by teaching–learning and genetic algorithms for diagnosis of breast cancer
Alok Kumar Shukla
International Journal of Data Science and Analytics (2024)
Closed Access | Times Cited: 5
Cross vision transformer with enhanced Growth Optimizer for breast cancer detection in IoMT environment
Mohamed Abd Elaziz, Abdelghani Dahou, Ahmad O. Aseeri, et al.
Computational Biology and Chemistry (2024) Vol. 111, pp. 108110-108110
Closed Access | Times Cited: 5
Diabetes Detection Models in Mexican Patients by Combining Machine Learning Algorithms and Feature Selection Techniques for Clinical and Paraclinical Attributes: A Comparative Evaluation
Antonio García-Domínguez, Carlos E. Galván-Tejada, Rafael Magallanes‐Quintanar, et al.
Journal of Diabetes Research (2023) Vol. 2023, pp. 1-19
Open Access | Times Cited: 13
AIScholar: An OpenFaaS-enhanced cloud platform for intelligent medical data analytics
Weili Peng, Yichao Hong, Yuanyuan Chen, et al.
Computers in Biology and Medicine (2025) Vol. 186, pp. 109648-109648
Closed Access
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
Mapping intellectual structure and research hotspots of cancer studies in primary health care: A machine-learning-based analysis
Muhammet Damar, Hale Turhan Damar, Şeyda Özbıçakçı, et al.
Medicine (2025) Vol. 104, Iss. 12, pp. e41749-e41749
Open Access
A novel and efficient statistical and soft-computing intelligence integrated feature selection technique for human chronic diseases prediction
Amit Kumar Yadav, Munish Khanna, Darpan Anand
Multimedia Tools and Applications (2025)
Closed Access
Efficient feature selection based on Gower distance for breast cancer diagnosis
Salwa Shakir Baawi, Mustafa Noaman Kadhim, Dhiah Al‐Shammary
Journal of Electronic Science and Technology (2025), pp. 100315-100315
Open Access
An improved breast cancer classification with hybrid chaotic sand cat and Remora Optimization feature selection algorithm
Afnan M. Alhassan
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0300622-e0300622
Open Access | Times Cited: 3
A novel soft computing based efficient feature selection approach for timely identification of COVID-19 infection using chest computed tomography images: a human centered intelligent clinical decision support system
Law Kumar Singh, Munish Khanna, Hitendra Garg, et al.
Multimedia Tools and Applications (2024)
Closed Access | Times Cited: 3
Standardscaler's Potential in Enhancing Breast Cancer Accuracy Using Machine Learning
Febri Aldi, Febri Hadi, Nadya Alinda Rahmi, et al.
Journal of Applied Engineering and Technological Science (JAETS) (2023) Vol. 5, Iss. 1, pp. 401-413
Open Access | Times Cited: 7
An early sepsis prediction model utilizing machine learning and unbalanced data processing in a clinical context
Luyao Zhou, Min Shao, Cui Wang, et al.
Preventive Medicine Reports (2024) Vol. 45, pp. 102841-102841
Open Access | Times Cited: 2
AI for Decision Support: Balancing Accuracy, Transparency, and Trust Across Sectors
Attila Kővári
Information (2024) Vol. 15, Iss. 11, pp. 725-725
Open Access | Times Cited: 2
Auxiliary Diagnosis of Breast Cancer Based on Machine Learning and Hybrid Strategy
Hua Chen, Kehui Mei, Yuan Zhou, et al.
IEEE Access (2023) Vol. 11, pp. 96374-96386
Open Access | Times Cited: 6
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