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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 in prostate cancer: an up-to-date review
Matteo Ferro, Ottavio De Cobelli, Gennaro Musi, et al.
Therapeutic Advances in Urology (2022) Vol. 14
Open Access | Times Cited: 91

Showing 1-25 of 91 citing articles:

Radiogenomics in Renal Cancer Management—Current Evidence and Future Prospects
Matteo Ferro, Gennaro Musi, Michele Marchioni, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 5, pp. 4615-4615
Open Access | Times Cited: 56
Artificial intelligence and radiomics in evaluation of kidney lesions: a comprehensive literature review
Matteo Ferro, Felice Crocetto, Biagio Barone, et al.
Therapeutic Advances in Urology (2023) Vol. 15
Open Access | Times Cited: 40
Emerging Hallmarks of Metabolic Reprogramming in Prostate Cancer
Francesco Lasorsa, Nicola Antonio di Meo, Monica Rutigliano, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 2, pp. 910-910
Open Access | Times Cited: 30
Artificial Intelligence in the Advanced Diagnosis of Bladder Cancer-Comprehensive Literature Review and Future Advancement
Matteo Ferro, Ugo Giovanni Falagario, Biagio Barone, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2308-2308
Open Access | Times Cited: 29
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
Deep Learning Based on ResNet-18 for Classification of Prostate Imaging-Reporting and Data System Category 3 Lesions
Zhen Kang, Enhua Xiao, Zhen Li, et al.
Academic Radiology (2024) Vol. 31, Iss. 6, pp. 2412-2423
Closed Access | Times Cited: 10
SARIFA as a new histopathological biomarker is associated with adverse clinicopathological characteristics, tumor-promoting fatty-acid metabolism, and might predict a metastatic pattern in pT3a prostate cancer
Johanna S. Enke, Matthias Groß, Bianca Grosser, et al.
BMC Cancer (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 7
Interpretable Radiomic Signature for Breast Microcalcification Detection and Classification
Francesco Prinzi, Alessia Angela Maria Orlando, Salvatore Gaglio, et al.
Deleted Journal (2024) Vol. 37, Iss. 3, pp. 1038-1053
Open Access | Times Cited: 7
Shearlet Transform Applied to a Prostate Cancer Radiomics Analysis on MR Images
Rosario Corso, Alessandro Stefano, Giuseppe Salvaggio, et al.
Mathematics (2024) Vol. 12, Iss. 9, pp. 1296-1296
Open Access | Times Cited: 7
Delta radiomics: an updated systematic review
Valerio Nardone, Alfonso Reginelli, Dino Rubini, et al.
La radiologia medica (2024) Vol. 129, Iss. 8, pp. 1197-1214
Open Access | Times Cited: 5
Prognostic value of COL10A1 and its correlation with tumor-infiltrating immune cells in urothelial bladder cancer: A comprehensive study based on bioinformatics and clinical analysis validation
Xiaoming Wang, Yunjin Bai, Facai Zhang, et al.
Frontiers in Immunology (2023) Vol. 14
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: 15
Radiomics and theranostics with molecular and metabolic probes in prostate cancer: toward a personalized approach
Luca Filippi, Luca Urso, Francesco Bianconi, et al.
Expert Review of Molecular Diagnostics (2023) Vol. 23, Iss. 3, pp. 243-255
Closed Access | Times Cited: 14
Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness
Ana Rodrigues, Nuno M. Rodrigues, João Santinha, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 14
Reliability of Multiparametric Magnetic Resonance Imaging in Patients with a Previous Negative Biopsy: Comparison with Biopsy-Naïve Patients in the Detection of Clinically Significant Prostate Cancer
Biagio Barone, Luigi Napolitano, Francesco Paolo Calace, et al.
Diagnostics (2023) Vol. 13, Iss. 11, pp. 1939-1939
Open Access | Times Cited: 14
RadioPathomics: Multimodal Learning in Non-Small Cell Lung Cancer for Adaptive Radiotherapy
Matteo Tortora, Ermanno Cordelli, Rosa Sicilia, et al.
IEEE Access (2023) Vol. 11, pp. 47563-47578
Open Access | Times Cited: 14
Can we predict pathology without surgery? Weighing the added value of multiparametric MRI and whole prostate radiomics in integrative machine learning models
Giulia Marvaso, Lars Johannes Isaksson, Mattia Zaffaroni, et al.
European Radiology (2024) Vol. 34, Iss. 10, pp. 6241-6253
Closed Access | Times Cited: 4
Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques
Luis Esteban, Ángel Borque‐Fernando, Marta Escorihuela, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Repeatability of Prostate MRI-based Radiomics Features: The Influence of Lesion Segmentation Volume
Ze Liu, Yingwei Bao, Guangsong Wang, et al.
(2025), pp. 100008-100008
Open Access
PI-RADS Category 3: Opportunities of Texture Analysis in Prostate Cancer Diagnosis
Alexandra S. Tyan, G. G. Kаrmаzаnovsky, N. A. Karelskaya, et al.
Digital Diagnostics (2025)
Open Access
A Simple Nomogram to Predict Clinically Significant Prostate Cancer at MRI-Guided Biopsy in Patients with Mild PSA Elevation and Normal DRE
Hubert Kamecki, Andrzej Tokarczyk, Małgorzata Dębowska, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 753-753
Open Access
Extracellular Microvesicle MicroRNAs and Imaging Metrics Improve the Detection of Aggressive Prostate Cancer: A Pilot Study
Kapil Kumar Avasthi, Jung Woo Choi, Tetiana Glushko, et al.
Cancers (2025) Vol. 17, Iss. 5, pp. 835-835
Open Access
Imaging genomics of cancer: a bibliometric analysis and review
Xinyi Gou, Aobo Feng, Caizhen Feng, et al.
Cancer Imaging (2025) Vol. 25, Iss. 1
Open Access
Bi-parametric MRI-based quantification radiomics model for the noninvasive prediction of histopathology and biochemical recurrence after prostate cancer surgery: a multicenter study
Si Wu, Ying Wang, Fan Ping, et al.
Abdominal Radiology (2025)
Open Access
Additive Value of [68Ga]Ga-RM26 PET/CT to [68Ga]Ga-PSMA-617 PET/CT in Detecting Pelvic Lymph Node Metastasis in Prostate Cancer: A Prospective, Single-Center, Phase II Study
Wei Tang, Lin Qi, Minfeng Chen, et al.
Journal of Nuclear Medicine (2025), pp. jnumed.124.269189-jnumed.124.269189
Closed Access
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