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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:

Machine Learning and Clinical-Radiological Characteristics for the Classification of Prostate Cancer in PI-RADS 3 Lesions
Michela Gravina, Lorenzo Spirito, Giuseppe Celentano, et al.
Diagnostics (2022) Vol. 12, Iss. 7, pp. 1565-1565
Open Access | Times Cited: 22

Showing 22 citing articles:

Underlying Features of Prostate Cancer—Statistics, Risk Factors, and Emerging Methods for Its Diagnosis
Cristina V. Berenguer, Ferdinando Pereira, José S. Câmara, et al.
Current Oncology (2023) Vol. 30, Iss. 2, pp. 2300-2321
Open Access | Times Cited: 58
Biomarkers of Aggressive Prostate Cancer at Diagnosis
Brock E. Boehm, Monica E. York, György Petrovics, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 3, pp. 2185-2185
Open Access | Times Cited: 38
Update on PI-RADS Version 2.1 Diagnostic Performance Benchmarks for Prostate MRI: Systematic Review and Meta-Analysis
Benedict Oerther, Andrea Nedelcu, Hannes Engel, et al.
Radiology (2024) Vol. 312, Iss. 2
Closed Access | Times Cited: 12
Diagnostic Performance Evaluation of Multiparametric Magnetic Resonance Imaging in the Detection of Prostate Cancer with Supervised Machine Learning Methods
Hamide Nematollahi, Masoud Moslehi, Fahimeh Aminolroayaei, et al.
Diagnostics (2023) Vol. 13, Iss. 4, pp. 806-806
Open Access | Times Cited: 17
Explainable Artificial Intelligence-Driven Prostate Cancer Screening Using Exosomal Multi-Marker Based Dual-Gate FET Biosensor
J Choi, Sungwook Park, Ji Sung Shim, et al.
Biosensors and Bioelectronics (2024) Vol. 267, pp. 116773-116773
Open Access | Times Cited: 8
Artificial Intelligence for Clinical Diagnosis and Treatment of Prostate Cancer
Ali A. Rabaan, Muhammed A. Bakhrebah, Hajir AlSaihati, et al.
Cancers (2022) Vol. 14, Iss. 22, pp. 5595-5595
Open Access | Times Cited: 27
Incidence and Predicting Factors of Histopathological Features at Robot-Assisted Radical Prostatectomy in the mpMRI Era: Results of a Single Tertiary Referral Center
Ernesto Di Mauro, Francesco Di Bello, Gianluigi Califano, et al.
Medicina (2023) Vol. 59, Iss. 3, pp. 625-625
Open Access | Times Cited: 12
Investigating feature extraction by SIFT methods for prostate cancer early detection
Shadan Mohammed Jihad, Firas Husham Almukhtar, Firas Husham Almukhtar, et al.
Egyptian Informatics Journal (2025) Vol. 29, pp. 100607-100607
Open Access
Impact of Nerve-Sparing Techniques on Prostate-Specific Antigen Persistence Following Robot-Assisted Radical Prostatectomy: A Multivariable Analysis of Clinical and Pathological Predictors
Lorenzo Spirito, Carmine Sciorio, Lorenzo Romano, et al.
Diagnostics (2025) Vol. 15, Iss. 8, pp. 987-987
Open Access
Emerging Role of Nuclear Medicine in Prostate Cancer: Current State and Future Perspectives
Fabio Volpe, Carmela Nappi, Leandra Piscopo, et al.
Cancers (2023) Vol. 15, Iss. 19, pp. 4746-4746
Open Access | Times Cited: 9
Recognition of Postoperative Cystography Features by Artificial Intelligence to Predict Recovery from Postprostatectomy Urinary Incontinence: A Rapid and Easy Way to Predict Functional Outcome
I‐Hung Shao, Hung-Cheng Kan, Hung-Yi Chen, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 1, pp. 126-126
Open Access | Times Cited: 7
Management Strategy for Prostate Imaging Reporting and Data System Category 3 Lesions
Zhen Kang, Daniel Margolis, Shaogang Wang, et al.
Current Urology Reports (2023) Vol. 24, Iss. 12, pp. 561-570
Closed Access | Times Cited: 4
Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of Italian Research Community
Alessio Bottrighi, Marzio Pennisi
(2023)
Open Access | Times Cited: 3
Reliability and Efficiency of the CAPRI-3 Metastatic Prostate Cancer Registry Driven by Artificial Intelligence
D. Andries Bosch, Malou C.P. Kuppen, Metin Tascilar, et al.
Cancers (2023) Vol. 15, Iss. 15, pp. 3808-3808
Open Access | Times Cited: 3
Exploring the State of Machine Learning and Deep Learning in Medicine: A Survey of the Italian Research Community
Alessio Bottrighi, Marzio Pennisi
Information (2023) Vol. 14, Iss. 9, pp. 513-513
Open Access | Times Cited: 3
DEEP LEARNING-BASED FEATURE FUSION AND TRANSFER LEARNING FOR APPROXIMATING pIC VALUE OF COVID-19 MEDICINE USING DRUG DISCOVERY DATA
Amol Dattatray Dhaygude, M. D. A. Hasan, M. Vijay
Journal of Mechanics in Medicine and Biology (2023) Vol. 24, Iss. 05
Closed Access | Times Cited: 2
Predicting Patient Sexual Function after Prostate Surgery With Machine Learning and Statistical Methods
Sayna Rotbei, Luigi Napolitano, Stefania Zinno, et al.
(2024)
Closed Access
Radiomics and Machine Learning Application in Prostate Cancer: A Review
Promise Onyemaechi, Marion O. Adebiyi
(2024), pp. 1-10
Closed Access
Incorporating Clinical Guidelines Through Adapting Multi-modal Large Language Model for Prostate Cancer PI-RADS Scoring
Tiantian Zhang, Manxi Lin, Hongda Guo, et al.
Lecture notes in computer science (2024), pp. 360-370
Closed Access
Predicting Patient Sexual Function After Prostate Surgery Using Machine Learning
Sayna Rotbei, Luigi Napolitano, Stefania Zinno, et al.
2022 IEEE Symposium on Computers and Communications (ISCC) (2023)
Closed Access | Times Cited: 1
Comparative Outcomes of Robotic Radical Prostatectomy in Patients with Locally Advanced Prostate Cancer
Po-I Li, Szu‐Ju Chen, Yung‐Hsiang Chen, et al.
Medicina (2022) Vol. 58, Iss. 12, pp. 1820-1820
Open Access | Times Cited: 2
Optimizing explainability of Breast Cancer Recurrence using FuzzyGenetic
Fabio Cardoso, Thiago Emannuel Medeiros, Marley Vellasco, et al.
(2023), pp. 447-460
Open Access
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