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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:

A review of the current state of the computer-aided diagnosis (CAD) systems for breast cancer diagnosis
Zicheng Guo, Jiping Xie, Yi Wan, et al.
Open Life Sciences (2022) Vol. 17, Iss. 1, pp. 1600-1611
Open Access | Times Cited: 25

Showing 25 citing articles:

Computer‐Aided Detection (CADe) and Segmentation Methods for Breast Cancer Using Magnetic Resonance Imaging (MRI)
Payam Jannatdoust, Parya Valizadeh, Nikoo Saeedi, et al.
Journal of Magnetic Resonance Imaging (2025)
Closed Access | Times Cited: 1
BraNet: a mobil application for breast image classification based on deep learning algorithms
Yuliana Jiménez-Gaona, María José Rodríguez Álvarez, Darwin Castillo, et al.
Medical & Biological Engineering & Computing (2024) Vol. 62, Iss. 9, pp. 2737-2756
Open Access | Times Cited: 5
Breakthrough in breast tumor detection and diagnosis: a noise-resilient, rotation-invariant framework
Fariha Nosheen, Salabat Khan, Muhammad Sharif, et al.
Multimedia Tools and Applications (2025)
Closed Access
CoAtUNet: A symmetric encoder-decoder with hybrid transformers for semantic segmentation of breast ultrasound images
Nadeem Zaidkilani, Miguel Ángel García, Domènec Puig
Neurocomputing (2025), pp. 129660-129660
Closed Access
Breast cancer image analysis utilizing feature fusion-based hybrid classification network influenced by adaptive u-net with generative adversarial segmentation network
Rathlavath Kalavathi, M. Swamy Das
Intelligent Decision Technologies (2025)
Closed Access
Dual-Stream CoAtNet models for accurate breast ultrasound image segmentation
Nadeem Zaidkilani, Miguel Ángel García, Domènec Puig
Neural Computing and Applications (2024) Vol. 36, Iss. 26, pp. 16427-16443
Closed Access | Times Cited: 2
EnsemDeepCADx: Empowering Colorectal Cancer Diagnosis with Mixed-Dataset Features and Ensemble Fusion CNNs on Evidence-Based CKHK-22 Dataset
Akella S. Narasimha Raju, K. Venkatesh
Bioengineering (2023) Vol. 10, Iss. 6, pp. 738-738
Open Access | Times Cited: 6
Breast lesions segmentation and classification in a two-stage process based on Mask-RCNN and Transfer Learning
Hama Soltani, Mohamed Amroune, Issam Bendib, et al.
Multimedia Tools and Applications (2023) Vol. 83, Iss. 12, pp. 35763-35780
Closed Access | Times Cited: 6
A novel visible and near-infrared hyperspectral imaging platform for automated breast-cancer detection
Ahmed Youssef, Belaid Moa, Yasser H. El-Sharkawy
Photodiagnosis and Photodynamic Therapy (2024) Vol. 46, pp. 104048-104048
Open Access | Times Cited: 1
Breast Ultrasound Computer-Aided Diagnosis System Based on Mass Irregularity Features in Frequency Domain
Tahsin Nairuz, Deokwoo Lee, Jong‐Ha Lee
Applied Sciences (2024) Vol. 14, Iss. 17, pp. 8003-8003
Open Access | Times Cited: 1
Meme Kanseri Erken Teşhisi için MAMA ve KTB Kullanarak Geliştirilen Model
Samet Aymaz
Afyon Kocatepe University Journal of Sciences and Engineering (2024) Vol. 24, Iss. 2, pp. 320-329
Open Access
The Role of DNA Microarrays and Machine Learning in Cancer Research
Arun Agrawal, Deepak Gupta, Archana Tomar, et al.
Advances in medical technologies and clinical practice book series (2024), pp. 150-173
Closed Access
Application of Faster-RCNN with Detectron2 for Effective Breast Tumor Detection in Mammography
Hama Soltani, Mohamed Amroune, Issam Bendib, et al.
Lecture notes in networks and systems (2024), pp. 57-63
Closed Access
The Right to Explanation in AI: In a Lonely Place (Preprint)
Alycia Noë, Ma’n H. Zawati
(2024)
Closed Access
Computer-Aided Detection/Computer-Aided Diagnosis
Euclid Seeram, Vijay A. Kanade
(2024), pp. 141-150
Closed Access
Computer-Aided System for Breast Cancer Lesion Segmentation and Classification Using Ultrasound Images
Saied Salem, Ahmed Mostafa, Yasien E. Ghalwash, et al.
IFMBE proceedings (2024), pp. 297-305
Closed Access
Improving the diagnostic strategy for thyroid nodules: a combination of artificial intelligence-based computer-aided diagnosis system and shear wave elastography
Ziman Chen, Nonhlanhla Chambara, Xina Lo, et al.
Endocrine (2024)
Open Access
Panoptic Segmentation of Mammograms with Text-to-Image Diffusion Model
Kun Zhao, Jakub Prokop, Javier Montalt‐Tordera, et al.
Lecture notes in computer science (2024), pp. 98-108
Closed Access
An Integrated Multimodal-Based CAD System for Breast Cancer Diagnosis
Amal Sunba, Maha M. AlShammari, Afnan Almuhanna, et al.
Cancers (2024) Vol. 16, Iss. 22, pp. 3740-3740
Open Access
Promises and Perils of Artificial Intelligence in Surgery: The Critical Pathways for Successful Healthcare Outcomes
Young‐Woo Kim, Andreas Melzer, Susie Kim, et al.
(2024), pp. 99-118
Closed Access
Can Artificial Intelligence Beat Humans in Detecting Breast Malignancy on Mammograms?
Mariam Malik, Saeeda Yasmin, Anish Kumar, et al.
Cureus (2023)
Open Access | Times Cited: 1
Ultrasound coupled RES-loaded ultrasound microbubble inhibits the proliferation of ovarian cancer cells by expression of long non-coding RNA (lncRNA) involved in apoptosis using real-time PCR.
Hao Ying, Lixin Ye
PubMed (2023) Vol. 13, Iss. 9, pp. 4434-4445
Closed Access
Feature Selection Techniques on Breast Cancer Classification Using Fine Needle Aspiration Features: A Comparative Study
Shahiratul A Abd Karim, Ummul Hanan Mohamad, Puteri N. E. Nohuddin
Lecture notes in computer science (2023), pp. 568-582
Closed Access
Lightweight Histological Tumor Classification Using a Joint Sparsity-Quantization Aware Training Framework
Dina Aboutahoun, Rami Zewail, Keiji Kimura, et al.
IEEE Access (2023) Vol. 11, pp. 119342-119351
Open Access
A Various CAD systems using mammogram for diagnosing breast cancer
G. Bhavya, T. N. Manjunath, L N Chandrashekara, et al.
(2023), pp. 1-6
Closed Access
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