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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:

The Ascent of Artificial Intelligence in Endourology: a Systematic Review Over the Last 2 Decades
B. M. Zeeshan Hameed, Milap Shah, Nithesh Naik, et al.
Current Urology Reports (2021) Vol. 22, Iss. 10
Open Access | Times Cited: 29

Showing 1-25 of 29 citing articles:

Management of urinary stones: state of the art and future perspectives by experts in stone disease
Athanasios Papatsoris, A. Budía Alba, Juan Antonio Galán Llopis, et al.
Archivio Italiano di Urologia e Andrologia (2024) Vol. 96, Iss. 2
Open Access | Times Cited: 11
Artificial Intelligence: Ready To Pass the European Board Examinations in Urology?
Benoît Mesnard, Aurélie Schirmann, Julien Branchereau, et al.
European Urology Open Science (2024) Vol. 60, pp. 44-46
Open Access | Times Cited: 10
Innovations in Kidney Stone Removal
Lazaros Tzelves, Robert Geraghty, Thomas Hughes, et al.
Research and Reports in Urology (2023) Vol. Volume 15, pp. 131-139
Open Access | Times Cited: 16
Systematic reviews of machine learning in healthcare: a literature review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Expert Review of Pharmacoeconomics & Outcomes Research (2023) Vol. 24, Iss. 1, pp. 63-115
Open Access | Times Cited: 14
Three key domains for optimizing preoperative preparedness in plastic surgery with AI
Ayush K. Kapila, Laurens De Vleminck, Moustapha Hamdi
Plastic and Aesthetic Research (2025)
Open Access
The role of ‘artificial intelligence, machine learning, virtual reality, and radiomics’ in PCNL: a review of publication trends over the last 30 years
Carlotta Nedbal, Clara Cerrato, Victoria Jahrreiss, et al.
Therapeutic Advances in Urology (2023) Vol. 15
Open Access | Times Cited: 10
Theranostic roles of machine learning in clinical management of kidney stone disease
Supatcha Sassanarakkit, Sudarat Hadpech, Visith Thongboonkerd
Computational and Structural Biotechnology Journal (2022) Vol. 21, pp. 260-266
Open Access | Times Cited: 13
Ureteroscopy and lasertripsy with pop dusting using high power holmium laser for large urinary stones > 15 mm: 6.5-year prospective outcomes from a high-volume stone center
Amelia Pietropaolo, Virginia Massella, Francesco Ripa, et al.
World Journal of Urology (2023) Vol. 41, Iss. 7, pp. 1935-1941
Closed Access | Times Cited: 7
Trends of “Artificial Intelligence, Machine Learning, Virtual Reality, and Radiomics in Urolithiasis” over the Last 30 Years (1994–2023) as Published in the Literature (PubMed): A Comprehensive Review
Carlotta Nedbal, Clara Cerrato, Victoria Jahrreiss, et al.
Journal of Endourology (2023) Vol. 38, Iss. 8, pp. 788-798
Closed Access | Times Cited: 7
The impact of artificial intelligence (AI) in revolutionizing all aspects of urological care: a glimpse in the future
Carlotta Nedbal, Ewa Bres–Niewada, Bartosz Dybowski, et al.
Editor-in-Chief s Voice List of Authors is an Important Element in a Scientific Publication (2024)
Open Access | Times Cited: 2
Comprehensive 3D Analysis of the Renal System and Stones: Segmenting and Registering Non-Contrast and Contrast Computed Tomography Images
Zhuo Chen, Chuda Xiao, Yang Liu, et al.
Information Systems Frontiers (2024)
Open Access | Times Cited: 2
Artificial Intelligence in Urology: Application of a machine learning model to predict the risk of urolithiasis in a general population
Catherine Sánchez, Francisca Larenas, Juan Sebastián Arroyave, et al.
Journal of Endourology (2024) Vol. 38, Iss. 8, pp. 712-718
Closed Access | Times Cited: 2
Artificial Intelligence (AI) in Endourology: Maximizing the Promise Through Consideration of the Principles of Diffusion of Innovation Theory
Manoj Monga, Natalie C. Edwards, Sirikan Rojanasarot, et al.
Journal of Endourology (2024) Vol. 38, Iss. 8, pp. 755-762
Closed Access | Times Cited: 2
Clinical Applications of Machine Learning for Urolithiasis and Benign Prostatic Hyperplasia: A Systematic Review
David Bouhadana, Xing Han Lù, Jack W. Luo, et al.
Journal of Endourology (2022) Vol. 37, Iss. 4, pp. 474-494
Closed Access | Times Cited: 9
Use of artificial intelligence for sepsis risk prediction after flexible ureteroscopy: a systematic review
BEATRIZ MESALIRA ALVES, Mikhael Belkovsky, Carlo Camargo Passerotti, et al.
Revista do Colégio Brasileiro de Cirurgiões (2023) Vol. 50
Open Access | Times Cited: 4
A Novel Machine-Learning Algorithm to Predict Stone Recurrence with 24-Hour Urine Data
Kevin Shee, Andrew W. Liu, Carter Chan, et al.
Journal of Endourology (2024) Vol. 38, Iss. 8, pp. 809-816
Closed Access | Times Cited: 1
Artificial intelligence in endourology: emerging technology for individualized care
Jessica Dai, Brett A. Johnson
Current Opinion in Urology (2022) Vol. 32, Iss. 4, pp. 379-392
Closed Access | Times Cited: 7
Imaging urolithiasis: complications and interventions in children
Magdalena Woźniak, Joanna Mitek-Palusińska
Pediatric Radiology (2022) Vol. 53, Iss. 4, pp. 706-713
Open Access | Times Cited: 7
On the rocks: can urologists identify stone composition based on endoscopic images alone? A worldwide survey of urologists
J. Hogan Randall, Bristol B. Whiles, Raphael V. Carrera, et al.
World Journal of Urology (2023) Vol. 41, Iss. 2, pp. 575-579
Closed Access | Times Cited: 3
Systematic Reviews of Machine Learning in Healthcare: A Literature Review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Research Square (Research Square) (2023)
Open Access | Times Cited: 2
Use of Artificial Intelligence for Analyzing Kidney Stone Composition: Are We There Yet?
Shahin Isha, Sadia Shah
Mayo Clinic Proceedings Digital Health (2023) Vol. 1, Iss. 3, pp. 352-356
Open Access | Times Cited: 2
Current Applications of Artificial Intelligence in Benign Prostatic Hyperplasia
Milap Shah, Nithesh Naik, B. M. Zeeshan Hameed, et al.
Türk Üroloji Dergisi/Turkish Journal of Urology (2022) Vol. 48, Iss. 4, pp. 262-267
Open Access | Times Cited: 4
Fifty years of basic and clinical renal stone research: have we achieved major breakthroughs? A debate
Allen L. Rodgers, Alberto Trinchieri
Current Opinion in Nephrology & Hypertension (2022) Vol. 32, Iss. 2, pp. 177-182
Closed Access | Times Cited: 4
Reporting quality of abstracts of systematic reviews/meta-analyses: An appraisal of Arab Journal of Urology across 12 years: the PRISMA-Abstracts checklist
Walid El Ansari, Khalid Al‐Rumaihi, Kareem El-Ansari, et al.
Arab Journal of Urology (2022) Vol. 21, Iss. 1, pp. 52-65
Open Access | Times Cited: 3
Machine learning constructs a model to predict systemic inflammatory response syndrome after percutaneous nephrolithotomy
Guiming Zhou, Bin Yang, Yuan Zhou, et al.
Research Square (Research Square) (2024)
Open Access
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