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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 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: 16

Showing 16 citing articles:

Prostate Cancer Detection and Analysis using Advanced Machine Learning
Mowafaq Salem Alzboon, Mohammad Subhi Al-Batah
International Journal of Advanced Computer Science and Applications (2023) Vol. 14, Iss. 8
Open Access | Times Cited: 20
Transfer Learning and Neural Network-Based Approach on Structural MRI Data for Prediction and Classification of Alzheimer’s Disease
Farideh Momeni, Daryoush Shahbazi‐Gahrouei, Tahereh Mahmoudi, et al.
Diagnostics (2025) Vol. 15, Iss. 3, pp. 360-360
Open Access
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
Prostate Cancer Detection in Colombian Patients through E-Senses Devices in Exhaled Breath and Urine Samples
Cristhian Manuel Durán Acevedo, Jeniffer Katerine Carrillo Gómez, Carlos Alberto Cuastumal Vásquez, et al.
Chemosensors (2024) Vol. 12, Iss. 1, pp. 11-11
Open Access | Times Cited: 3
Supervised machine learning: A new method to predict the outcomes following exercise intervention in children with autism spectrum disorder
Zhiyuan Sun, Yunhao Yuan, Xiaoxiao Dong, et al.
International Journal of Clinical and Health Psychology (2023) Vol. 23, Iss. 4, pp. 100409-100409
Open Access | Times Cited: 9
Prostate Cancer Detection from MRI Using Efficient Feature Extraction with Transfer Learning
R Islam, Al Imran, Md. Fazle Rabbi
Prostate Cancer (2024) Vol. 2024, pp. 1-28
Open Access | Times Cited: 2
Management of Patients With a Negative Multiparametric Prostate MRI Examination: AJR Expert Panel Narrative Review
Nelly Tan, Jordan R. Pollock, Daniel Margolis, et al.
American Journal of Roentgenology (2023) Vol. 223, Iss. 2
Open Access | Times Cited: 7
Transfer Learning Approach to Vascular Permeability Changes in Brain Metastasis Post-Whole-Brain Radiotherapy
Chad A. Arledge, William Crowe, Lulu Wang, et al.
Cancers (2023) Vol. 15, Iss. 10, pp. 2703-2703
Open Access | Times Cited: 6
Comparing the Min–Max–Median/IQR Approach with the Min–Max Approach, Logistic Regression and XGBoost, Maximising the Youden Index
Rocío Aznar-Gimeno, Luis Esteban, Gerardo Sanz, et al.
Symmetry (2023) Vol. 15, Iss. 3, pp. 756-756
Open Access | Times Cited: 2
Accurate Diagnosis by Magnetic Resonance Imaging Using Deep Learning
A Rengarajan, Zahid Ahmed, Rajendra Pandey
(2024), pp. 1-7
Closed Access
Estimation of Invasive Coronary Perfusion Pressure Using Electrocardiogram and Photoplethysmography in a Porcine Model of Cardiac Arrest
Lijun Jiang, Shuxin Chen, Xin Pan, et al.
Computer Methods and Programs in Biomedicine (2024) Vol. 254, pp. 108284-108284
Closed Access
Towards Unsupervised Learning Driven Intelligence for Prediction of Prostate Cancer
Ejay Nsugbe
Artificial Intelligence and Applications (2024) Vol. 2, Iss. 4, pp. 263-270
Open Access
Diagnostic analysis of cancer based on machine learning
Xishi Wang
Theoretical and Natural Science (2024) Vol. 44, Iss. 1, pp. 1-6
Open Access
Comparison of diagnostic performance between diffusion models parameters and mono-exponential apparent diffusion coefficient in patients with prostate cancer: A systematic review and meta-analysis
Hamide Nematollahi, MohammadReza Maracy, Masoud Moslehi, et al.
Journal of Research in Medical Sciences (2024) Vol. 29, Iss. 1
Open Access
Radiomics and Machine Learning Application in Prostate Cancer: A Review
Promise Onyemaechi, Marion O. Adebiyi
(2024), pp. 1-10
Closed Access
Addressing intra‐ and inter‐institution variability of a radiomic framework based on Apparent Diffusion Coefficient in prostate cancer
Letizia Morelli, Chiara Paganelli, Giulia Marvaso, et al.
Medical Physics (2024) Vol. 51, Iss. 11, pp. 8096-8107
Open Access
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