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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:

Diagnostic performance of deep learning models for detecting bone metastasis on whole-body bone scan in prostate cancer
Sangwon Han, Jungsu S. Oh, Jong Jin Lee
European Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 49, Iss. 2, pp. 585-595
Closed Access | Times Cited: 37

Showing 1-25 of 37 citing articles:

Prostate cancer grading framework based on deep transfer learning and Aquila optimizer
Hossam Magdy Balaha, Ahmed Osama Shaban, Eman M. El-Gendy, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 14, pp. 7877-7902
Open Access | Times Cited: 15
SPECT/CT, PET/CT, and PET/MRI for Response Assessment of Bone Metastases
Nazanin Zamani-Siahkali, Seyed Ali Mirshahvalad, Abolfazl Farbod, et al.
Seminars in Nuclear Medicine (2024) Vol. 54, Iss. 3, pp. 356-370
Open Access | Times Cited: 12
Deep Learning for the Automatic Diagnosis and Analysis of Bone Metastasis on Bone Scintigrams
Simin Liu, Ming Feng, Tingting Qiao, et al.
Cancer Management and Research (2022) Vol. Volume 14, pp. 51-65
Open Access | Times Cited: 30
Emerging Applications of Deep Learning in Bone Tumors: Current Advances and Challenges
Xiaowen Zhou, Hua Wang, Chengyao Feng, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 30
Artificial intelligence-based radiomics in bone tumors: Technical advances and clinical application
Yichen Meng, Yue Yang, Miao Hu, et al.
Seminars in Cancer Biology (2023) Vol. 95, pp. 75-87
Closed Access | Times Cited: 19
Bone Metastases
Avipsa Hazra, Gowrav Baradwaj, R. Sushma, et al.
(2025), pp. 323-348
Closed Access
Bone Metastasis in Prostate Cancer: Bone Scan Versus PET Imaging
Nasibeh Mohseninia, Nazanin Zamani-Siahkali, Sara Harsini, et al.
Seminars in Nuclear Medicine (2023) Vol. 54, Iss. 1, pp. 97-118
Open Access | Times Cited: 15
Artificial intelligence-based analysis of whole-body bone scintigraphy: The quest for the optimal deep learning algorithm and comparison with human observer performance
Ghasem Hajianfar, Maziar Sabouri, Yazdan Salimi, et al.
Zeitschrift für Medizinische Physik (2023) Vol. 34, Iss. 2, pp. 242-257
Open Access | Times Cited: 13
A survey of label-noise deep learning for medical image analysis
Jialin Shi, Kailai Zhang, Chenyi Guo, et al.
Medical Image Analysis (2024) Vol. 95, pp. 103166-103166
Closed Access | Times Cited: 4
Artificial Intelligence in Detection, Management, and Prognosis of Bone Metastasis: A Systematic Review
Giuseppe Francesco Papalia, Paolo Brigato, Luisana Sisca, et al.
Cancers (2024) Vol. 16, Iss. 15, pp. 2700-2700
Open Access | Times Cited: 4
From Segmentation to Biomarker Quantification: A Deep Learning Framework for Metastases Detection in Bone Scans
Ema Rachmawati, M. Rifqi Dzaky Azhad, Ida Bagus Indrabudhi Kusuma, et al.
(2025)
Closed Access
BM-Seg: A new bone metastases segmentation dataset and ensemble of CNN-based segmentation approach
Marwa Afnouch, Olfa Gaddour, Yosr Hentati, et al.
Expert Systems with Applications (2023) Vol. 228, pp. 120376-120376
Open Access | Times Cited: 11
Deep learning-based detection of patients with bone metastasis from Japanese radiology reports
Kentaro Doi, Hideki Takegawa, Midori Yui, et al.
Japanese Journal of Radiology (2023) Vol. 41, Iss. 8, pp. 900-908
Closed Access | Times Cited: 10
Detection of Bone Metastases on Bone Scans through Image Classification with Contrastive Learning
Te‐Chun Hsieh, Chiung-Wei Liao, Yung-Chi Lai, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 12, pp. 1248-1248
Open Access | Times Cited: 23
Artificial intelligence in skeletal metastasis imaging
Xiying Dong, Guilin Chen, Yuanpeng Zhu, et al.
Computational and Structural Biotechnology Journal (2023) Vol. 23, pp. 157-164
Open Access | Times Cited: 9
Deep learning-based active contour technique with bagging and boosting algorithms hybrid approach for detecting bone Cancer from Mri scan images
Ediga Lingappa, L. Rama Parvathy
Multimedia Tools and Applications (2023) Vol. 82, Iss. 23, pp. 36363-36377
Closed Access | Times Cited: 8
Deep learning based identification of bone scintigraphies containing metastatic bone disease foci
Abdalla Ibrahim, Akshayaa Vaidyanathan, Sergey Primakov, et al.
Cancer Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 7
Systematic Review of Tumor Segmentation Strategies for Bone Metastases
Iromi R. Paranavithana, David Stirling, Montserrat Ros, et al.
Cancers (2023) Vol. 15, Iss. 6, pp. 1750-1750
Open Access | Times Cited: 7
Deep Learning Enhances Radiologists’ Detection of Potential Spinal Malignancies in CT Scans
Leonard Gilberg, Bianca Teodorescu, Leander Maerkisch, et al.
Applied Sciences (2023) Vol. 13, Iss. 14, pp. 8140-8140
Open Access | Times Cited: 7
Diagnostic performance of a deep-learning model using 18F-FDG PET/CT for evaluating recurrence after radiation therapy in patients with lung cancer
Changhwan Sung, Jungsu S. Oh, Byung-Soo Park, et al.
Annals of Nuclear Medicine (2024) Vol. 38, Iss. 7, pp. 516-524
Closed Access | Times Cited: 2
ChatGPT-assisted deep learning for diagnosing bone metastasis in bone scans: Bridging the AI Gap for Clinicians
Hye Joo Son, Soo-Jong Kim, Sehyun Pak, et al.
Heliyon (2023) Vol. 9, Iss. 12, pp. e22409-e22409
Open Access | Times Cited: 6
Low-Dose 68 Ga-PSMA Prostate PET/MRI Imaging Using Deep Learning Based on MRI Priors
Fuquan Deng, Xiaoyuan Li, Fengjiao Yang, et al.
Frontiers in Oncology (2022) Vol. 11
Open Access | Times Cited: 9
Fully Automatic Quantitative Measurement of Equilibrium Radionuclide Angiocardiography Using a Convolutional Neural Network
Sejin Ha, Seung Yeon Seo, Byung-Soo Park, et al.
Clinical Nuclear Medicine (2024) Vol. 49, Iss. 8, pp. 727-732
Closed Access | Times Cited: 1
Artificial intelligence and radiomics applied to prostate cancer bone metastasis imaging: A review
S. J. Pawan, Joseph M. Rich, Jonathan Le, et al.
iRadiology (2024)
Open Access | Times Cited: 1
AI‐powered automated analysis of bone scans: A survey
Qiang Lin, Yang He, Sihan Guo
IET Image Processing (2024)
Open Access | Times Cited: 1
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