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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 for breast cancer analysis: Trends & directions
Shahid Munir Shah, Rizwan Ahmed Khan, Sheeraz Arif, et al.
Computers in Biology and Medicine (2022) Vol. 142, pp. 105221-105221
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Deep Learning Based Methods for Breast Cancer Diagnosis: A Systematic Review and Future Direction
Maged Nasser, Umi Kalsom Yusof
Diagnostics (2023) Vol. 13, Iss. 1, pp. 161-161
Open Access | Times Cited: 110
A Review on Nature-Inspired Algorithms for Cancer Disease Prediction and Classification
Abrar Yaqoob, Rabia Musheer Aziz, Navneet Kumar Verma, et al.
Mathematics (2023) Vol. 11, Iss. 5, pp. 1081-1081
Open Access | Times Cited: 56
Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond
Sidra Nasir, Rizwan Ahmed Khan, Samita Bai
IEEE Access (2024) Vol. 12, pp. 31014-31035
Open Access | Times Cited: 30
Shaping the future of AI in healthcare through ethics and governance
Rabaï Bouderhem
Humanities and Social Sciences Communications (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 22
Multi-level threshold segmentation framework for breast cancer images using enhanced differential evolution
Xiao Yang, Rui Wang, Dong Zhao, et al.
Biomedical Signal Processing and Control (2022) Vol. 80, pp. 104373-104373
Closed Access | Times Cited: 43
Roadmap on artificial intelligence and big data techniques for superconductivity
Mohammad Yazdani-Asrami, Wenjuan Song, Antonio Morandi, et al.
Superconductor Science and Technology (2023) Vol. 36, Iss. 4, pp. 043501-043501
Open Access | Times Cited: 30
Breast cancer classification using deep learned features boosted with handcrafted features
Unaiza Sajid, Rizwan Ahmed Khan, Shahid Munir Shah, et al.
Biomedical Signal Processing and Control (2023) Vol. 86, pp. 105353-105353
Open Access | Times Cited: 30
Cross-dimensional transfer learning in medical image segmentation with deep learning
Hicham Messaoudi, Ahror Belaid, D. Ben Salem, et al.
Medical Image Analysis (2023) Vol. 88, pp. 102868-102868
Open Access | Times Cited: 23
Shallow and deep learning classifiers in medical image analysis
Francesco Prinzi, Tiziana Currieri, Salvatore Gaglio, et al.
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 10
MOB-CBAM: A dual-channel attention-based deep learning generalizable model for breast cancer molecular subtypes prediction using mammograms
Iqra Nissar, Shahzad Alam, Sarfaraz Masood, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 248, pp. 108121-108121
Closed Access | Times Cited: 8
Multi-region radiomics for artificially intelligent diagnosis of breast cancer using multimodal ultrasound
Xu Zhou, Yuqun Wang, Man Chen, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 105920-105920
Closed Access | Times Cited: 35
The Systematic Review of Artificial Intelligence Applications in Breast Cancer Diagnosis
Dilber Uzun Ozsahin, Declan Ikechukwu Emegano, Berna Uzun, et al.
Diagnostics (2022) Vol. 13, Iss. 1, pp. 45-45
Open Access | Times Cited: 31
Artificial intelligence approaches to the biochemistry of oxidative stress: Current state of the art
Igor Pantić, Jovana Paunović, Snežana Pejić, et al.
Chemico-Biological Interactions (2022) Vol. 358, pp. 109888-109888
Closed Access | Times Cited: 27
Gray Level Co-Occurrence Matrix, Fractal and Wavelet Analyses of Discrete Changes in Cell Nuclear Structure following Osmotic Stress: Focus on Machine Learning Methods
Igor Pantić, Svetlana Valjarević, Jelena Cumic, et al.
Fractal and Fractional (2023) Vol. 7, Iss. 3, pp. 272-272
Open Access | Times Cited: 16
Artificial intelligence for breast cancer: Implications for diagnosis and management
Jehad Feras AlSamhori, Abdel Rahman Feras AlSamhori, Leslie Anne Duncan, et al.
Journal of Medicine Surgery and Public Health (2024) Vol. 3, pp. 100120-100120
Open Access | Times Cited: 6
Investigation of Anticancer Therapy Using pH-Sensitive Carbon Dots-Functionalized Doxorubicin in Cubosomes
Caiyang Xie, Binke Wang, Xinyu Qi, et al.
ACS Applied Bio Materials (2024) Vol. 7, Iss. 3, pp. 1958-1967
Closed Access | Times Cited: 5
Deep learning applications in breast cancer histopathological imaging: diagnosis, treatment, and prognosis
Bitao Jiang, Lingling Bao, Songqin He, et al.
Breast Cancer Research (2024) Vol. 26, Iss. 1
Open Access | Times Cited: 5
Realizing the promise of machine learning in precision oncology: expert perspectives on opportunities and challenges
Vasileios Nittas, Kelly E. Ormond, Effy Vayena, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
The Role of Artificial Intelligence in Enhancing Breast Disease Management: Early Detection and Prognostic Innovations
Marwan Al‐Raeei
Archives of Medicine and Health Sciences (2025)
Open Access
Detecting and classifying breast masses via YOLO-based deep learning
Büşra Kübra Karaca, Ziya Telatar, Selda Güney, et al.
Neural Computing and Applications (2025)
Open Access
Advancing depression detection on social media platforms through fine-tuned large language models
Shahid Munir Shah, Syeda Anshrah Gillani, Mirza Baig, et al.
Online Social Networks and Media (2025) Vol. 46, pp. 100311-100311
Closed Access
Deep learning for classification and localization of early gastric cancer in endoscopic images
Lingyu Ma, Xiufeng Su, Liyong Ma, et al.
Biomedical Signal Processing and Control (2022) Vol. 79, pp. 104200-104200
Closed Access | Times Cited: 24
Multi-threshold segmentation of breast cancer images based on improved dandelion optimization algorithm
Zhenghong Wang, Fanhua Yu, Dan Wang, et al.
The Journal of Supercomputing (2023) Vol. 80, Iss. 3, pp. 3849-3874
Closed Access | Times Cited: 15
A comparative study of YOLO models and a transformer-based YOLOv5 model for mass detection in mammograms
Damla COŞKUN, Derviş Karaboğa, Alper Baştürk, et al.
TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES (2023) Vol. 31, Iss. 7, pp. 1294-1313
Open Access | Times Cited: 13
Artificial intelligence in action: Improving breast disease management through surgical robotics and remote monitoring
Marwan Al‐Raeei
Medicina Clínica Práctica (2024) Vol. 7, Iss. 4, pp. 100470-100470
Open Access | Times Cited: 4
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