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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:

Just another “Clever Hans”? Neural networks and FDG PET-CT to predict the outcome of patients with breast cancer
Manuel Weber, David Kersting, Lale Umutlu, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 48, Iss. 10, pp. 3141-3150
Open Access | Times Cited: 34

Showing 1-25 of 34 citing articles:

Breast cancer detection using deep learning: Datasets, methods, and challenges ahead
Nusrat Mohi Ud Din, Rayees Ahmad Dar, Muzafar Rasool, et al.
Computers in Biology and Medicine (2022) Vol. 149, pp. 106073-106073
Closed Access | Times Cited: 181
Application of Deep Learning in Breast Cancer Imaging
Luuk Balkenende, Jonas Teuwen, Ritse M. Mann
Seminars in Nuclear Medicine (2022) Vol. 52, Iss. 5, pp. 584-596
Open Access | Times Cited: 98
Theranostics and artificial intelligence: new frontiers in personalized medicine
Gokce Belge Bilgin, Cem Bilgin, Brian J. Burkett, et al.
Theranostics (2024) Vol. 14, Iss. 6, pp. 2367-2378
Open Access | Times Cited: 21
Breast cancer detection using deep learning techniques: challenges and future directions
Muhammad Shahid, Azhar Imran
Multimedia Tools and Applications (2025)
Closed Access | Times Cited: 3
18F-FDG PET/CT radiomic analysis and artificial intelligence to predict pathological complete response after neoadjuvant chemotherapy in breast cancer patients
Luca Urso, Luigi Manco, Corrado Cittanti, et al.
La radiologia medica (2025)
Open Access | Times Cited: 2
Nuclear Medicine and Artificial Intelligence: Best Practices for Evaluation (the RELAINCE Guidelines)
Abhinav K. Jha, Tyler Bradshaw, Irène Buvat, et al.
Journal of Nuclear Medicine (2022) Vol. 63, Iss. 9, pp. 1288-1299
Open Access | Times Cited: 60
The Role of Deep Learning in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review
Mohammad Madani, Mohammad Mahdi Behzadi, Sheida Nabavi
Cancers (2022) Vol. 14, Iss. 21, pp. 5334-5334
Open Access | Times Cited: 52
PET-Derived Radiomics and Artificial Intelligence in Breast Cancer: A Systematic Review
Luca Urso, Luigi Manco, Angelo Castello, et al.
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 21, pp. 13409-13409
Open Access | Times Cited: 39
A Prognostic Risk Score for Prostate Cancer Based on PSMA PET–derived Organ-specific Tumor Volumes
Robert Seifert, Sazan Rasul, Konstantin Seitzer, et al.
Radiology (2023) Vol. 307, Iss. 4
Open Access | Times Cited: 23
New PET technologies – embracing progress and pushing the limits
Nicolas Aide, Charline Lasnon, Adam L. Kesner, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2021) Vol. 48, Iss. 9, pp. 2711-2726
Open Access | Times Cited: 53
Clinical application of AI-based PET images in oncological patients
Jiaona Dai, Hui Wang, Yuchao Xu, et al.
Seminars in Cancer Biology (2023) Vol. 91, pp. 124-142
Closed Access | Times Cited: 18
Use of artificial intelligence in breast surgery: a narrative review
Ishith Seth, Bryan Lim, Konrad Joseph, et al.
Gland Surgery (2024) Vol. 13, Iss. 3, pp. 395-411
Open Access | Times Cited: 5
Is Automatic Tumor Segmentation on Whole-Body18F-FDG PET Images a Clinical Reality?
Lalith Kumar Shiyam Sundar, Thomas Beyer
Journal of Nuclear Medicine (2024) Vol. 65, Iss. 7, pp. 995-997
Open Access | Times Cited: 5
Clinical Use of PET/MR in Oncology: An Update
Robert Seifert, David Kersting, Christoph Rischpler, et al.
Seminars in Nuclear Medicine (2021) Vol. 52, Iss. 3, pp. 356-364
Closed Access | Times Cited: 31
Full-Body Tumor Response Heterogeneity of Metastatic Neuroendocrine Tumor Patients Undergoing Peptide Receptor Radiopharmaceutical Therapy
Victor Santoro-Fernandes, Brayden Schott, Amy J. Weisman, et al.
Journal of Nuclear Medicine (2025), pp. jnumed.124.267809-jnumed.124.267809
Closed Access
AI in Breast Cancer Imaging: An Update and Future Trends
Yizhou Chen, Xiaoliang Shao, Kuangyu Shi, et al.
Seminars in Nuclear Medicine (2025)
Open Access
Deep learning in nuclear medicine: from imaging to therapy
Meng-Xin Zhang, Pengfei Liu, Mengdi Zhang, et al.
Annals of Nuclear Medicine (2025)
Closed Access
Artificial intelligence guided enhancement of digital PET: scans as fast as CT?
René Hosch, Manuel Weber, Miriam Sraieb, et al.
European Journal of Nuclear Medicine and Molecular Imaging (2022) Vol. 49, Iss. 13, pp. 4503-4515
Open Access | Times Cited: 15
The Role of Artificial Intelligence in Advancing Breast Cancer Detection Using Different Imaging Modalities: A Systematic Review
Mohammad Madani, Mohammad Mahdi Behzadi, Sheida Nabavi
(2022)
Open Access | Times Cited: 15
State-of-the-Art of Breast Cancer Diagnosis in Medical Images via Convolutional Neural Networks (CNNs)
Pratibha Harrison, Rakib Hasan, Kihan Park
Journal of Healthcare Informatics Research (2023) Vol. 7, Iss. 4, pp. 387-432
Closed Access | Times Cited: 8
Image Embeddings Extracted from CNNs Outperform Other Transfer Learning Approaches in Classification of Chest Radiographs
Noemi Gozzi, Edoardo Giacomello, Martina Sollini, et al.
Diagnostics (2022) Vol. 12, Iss. 9, pp. 2084-2084
Open Access | Times Cited: 11
Role of Radiology in the Diagnosis and Treatment of Breast Cancer in Women: A Comprehensive Review
Muhammad Arslan, Muhammad Asim, Hina Sattar, et al.
Cureus (2024)
Open Access | Times Cited: 2
Predictive Factors for RAI-Refractory Disease and Short Overall Survival in PDTC
David Kersting, Robert Seifert, Lukas Kessler, et al.
Cancers (2021) Vol. 13, Iss. 7, pp. 1728-1728
Open Access | Times Cited: 14
Comparison of automated full-body bone metastases delineation methods and their corresponding prognostic power
Brayden Schott, Amy J. Weisman, Timothy Perk, et al.
Physics in Medicine and Biology (2022) Vol. 68, Iss. 3, pp. 035011-035011
Closed Access | Times Cited: 9
Artificial Intelligence in Breast Cancer: A Systematic Review on PET Imaging Clinical Applications
Pierpaolo Alongi, Guido Rovera, Federica Stracuzzi, et al.
Current Medical Imaging Formerly Current Medical Imaging Reviews (2023) Vol. 19, Iss. 8
Closed Access | Times Cited: 5
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