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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:

Radiomics and artificial intelligence in prostate cancer: new tools for molecular hybrid imaging and theragnostics
Virginia Liberini, Riccardo Laudicella, Michele Balma, et al.
European Radiology Experimental (2022) Vol. 6, Iss. 1
Open Access | Times Cited: 44

Showing 1-25 of 44 citing articles:

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: 18
Revolutionizing Prostate Cancer Therapy: Artificial intelligence – based Nanocarriers for Precision Diagnosis and Treatment
Moein Shirzad, Afsaneh Salahvarzi, Sobia Razzaq, et al.
Critical Reviews in Oncology/Hematology (2025), pp. 104653-104653
Closed Access | Times Cited: 1
Advancements in MRI-Based Radiomics and Artificial Intelligence for Prostate Cancer: A Comprehensive Review and Future Prospects
Ahmad Chaddad, Guina Tan, Xiaojuan Liang, et al.
Cancers (2023) Vol. 15, Iss. 15, pp. 3839-3839
Open Access | Times Cited: 28
Artificial intelligence-aided optical imaging for cancer theranostics
Mengze Xu, Zhiyi Chen, Junxiao Zheng, et al.
Seminars in Cancer Biology (2023) Vol. 94, pp. 62-80
Closed Access | Times Cited: 23
Radiomics and Artificial Intelligence in Radiotheranostics: A Review of Applications for Radioligands Targeting Somatostatin Receptors and Prostate-Specific Membrane Antigens
Elmira Yazdani, Parham Geramifar, Najme Karamzade-Ziarati, et al.
Diagnostics (2024) Vol. 14, Iss. 2, pp. 181-181
Open Access | Times Cited: 14
Role of emerging theranostic technologies in precision oncology: revolutionizing cancer diagnosis and treatment
Biruk Demisse Ayalew, Abdullah, Saim Mahmood Khan, et al.
ONCOLOGIE (2025)
Closed Access
Application of Machine Learning for Differentiating Bone Malignancy on Imaging: A Systematic Review
Wilson Ong, Lei Zhu, Yi Tan, et al.
Cancers (2023) Vol. 15, Iss. 6, pp. 1837-1837
Open Access | Times Cited: 15
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
Novel Multiparametric Magnetic Resonance Imaging-Based Deep Learning and Clinical Parameter Integration for the Prediction of Long-Term Biochemical Recurrence-Free Survival in Prostate Cancer after Radical Prostatectomy
Hye Won Lee, Eunjin Kim, Inye Na, et al.
Cancers (2023) Vol. 15, Iss. 13, pp. 3416-3416
Open Access | Times Cited: 14
Deep Learning-Based Detection and Classification of Bone Lesions on Staging Computed Tomography in Prostate Cancer: A Development Study
Mason J. Belue, Stephanie A. Harmon, Dong Yang, et al.
Academic Radiology (2024) Vol. 31, Iss. 6, pp. 2424-2433
Closed Access | Times Cited: 4
Application of Photoactive Compounds in Cancer Theranostics: Review on Recent Trends from Photoactive Chemistry to Artificial Intelligence
Patryk Szymaszek, Małgorzata Tyszka‐Czochara, Joanna Ortyl
Molecules (2024) Vol. 29, Iss. 13, pp. 3164-3164
Open Access | Times Cited: 4
Artificial Intelligence for Drug Discovery: An Update and Future Prospects
Harrison Howell, Jeremy McGale, Aurélie Choucair, et al.
Seminars in Nuclear Medicine (2025)
Closed Access
Beyond diagnosis: is there a role for radiomics in prostate cancer management?
Arnaldo Stanzione, Andrea Ponsiglione, Francesco Alessandrino, et al.
European Radiology Experimental (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 11
Nuclear Medicine and Cancer Theragnostics: Basic Concepts
Vasiliki Zoi, Maria Giannakopoulou, George Α. Alexiou, et al.
Diagnostics (2023) Vol. 13, Iss. 19, pp. 3064-3064
Open Access | Times Cited: 9
A Critical Analysis of the Robustness of Radiomics to Variations in Segmentation Methods in 18F-PSMA-1007 PET Images of Patients Affected by Prostate Cancer
Giovanni Pasini, G. Russo, Cristina Mantarro, et al.
Diagnostics (2023) Vol. 13, Iss. 24, pp. 3640-3640
Open Access | Times Cited: 9
The Use of MRI-Derived Radiomic Models in Prostate Cancer Risk Stratification: A Critical Review of Contemporary Literature
Linda My Huynh, Yeagyeong Hwang, Olivia Taylor, et al.
Diagnostics (2023) Vol. 13, Iss. 6, pp. 1128-1128
Open Access | Times Cited: 7
Nuclear Medicine and Cancer Theragnostics
Vasiliki Zoi, Maria Giannakopoulou, George Α. Alexiou, et al.
(2023)
Open Access | Times Cited: 7
Application of Advanced Imaging to Prostate Cancer Diagnosis and Management: A Narrative Review of Current Practice and Unanswered Questions
Elizabeth L. McKone, Elsa A. Sutton, Geoffrey B. Johnson, et al.
Journal of Clinical Medicine (2024) Vol. 13, Iss. 2, pp. 446-446
Open Access | Times Cited: 2
CT and MRI radiomic features of lung cancer (NSCLC): comparison and software consistency
Chandra Bortolotto, Alessandra Pinto, Francesca Brero, et al.
European Radiology Experimental (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 2
Image Segmentation Based Automated Skin Cancer Detection Technique
Bhanu Pratap Singh, Rupashri Barik
Indian Journal of Image Processing and Recognition (2023) Vol. 3, Iss. 5, pp. 1-6
Open Access | Times Cited: 6
On the Use of Artificial Intelligence for Dosimetry of Radiopharmaceutical Therapies
Julia Brosch-Lenz, Astrid Delker, Fabian Schmidt, et al.
Nuklearmedizin - NuclearMedicine (2023) Vol. 62, Iss. 06, pp. 379-388
Closed Access | Times Cited: 5
Beyond blood biomarkers: the role of SelectMDX in clinically significant prostate cancer identification
Matteo Ferro, Bernardo Rocco, Martina Maggi, et al.
Expert Review of Molecular Diagnostics (2023) Vol. 23, Iss. 12, pp. 1061-1070
Closed Access | Times Cited: 4
Investigating and Implementing the Efficiency of Image Restoration Techniques in Digital Image Processing
Kalyan Acharjya, S. Yuvaraj, Varsha D. Jadhav, et al.
(2023), pp. 1-6
Closed Access | Times Cited: 4
Prostate-Specific Membrane Antigen Positron Emission Tomography/Computed Tomography-Derived Radiomic Models in Prostate Cancer Prognostication
Linda My Huynh, Shea Swanson, Sophia M. Cima, et al.
Cancers (2024) Vol. 16, Iss. 10, pp. 1897-1897
Open Access | Times Cited: 1
Is it possible to detect cribriform adverse pathology in prostate cancer with magnetic resonance imaging machine learning-based radiomics?
Hüseyin Bıçakçıoğlu, Sedat Soyupek, Onur Ertunç, et al.
Computing and artificial intelligence. (2024) Vol. 2, Iss. 1, pp. 1257-1257
Open Access | Times Cited: 1
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