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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:

Transforming urinary stone disease management by artificial intelligence-based methods: A comprehensive review
Anastasios Anastasiadis, Antonios Koudonas, Georgios Langas, et al.
Asian journal of urology (2023) Vol. 10, Iss. 3, pp. 258-274
Open Access | Times Cited: 8

Showing 8 citing articles:

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
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
Artificial intelligence and clinical guidance in male reproductive health: ChatGPT4.0's AUA/ASRM guideline compliance evaluation
Oya Gokmen, Tuğba GÜRBÜZ, Belgin Devranoğlu, et al.
Andrology (2024)
Closed Access | Times Cited: 2
Improved Detection of Urolithiasis Using High-Resolution Computed Tomography Images by a Vision Transformer Model
Hyoung Sun Choi, Jae-Seoung Kim, Taeg Keun Whangbo, et al.
International Neurourology Journal (2023) Vol. 27, Iss. Suppl 2, pp. S99-103
Open Access | Times Cited: 6
Using ensemble learning and hierarchical strategy to predict the outcomes of ESWL for upper ureteral stone treatment
Chi-Wei Chen, W. Liu, Lan-Ying Huang, et al.
Computers in Biology and Medicine (2024) Vol. 179, pp. 108904-108904
Open Access
Comment on: "URS for de-novo urolithiasis after kidney transplantation: a systematic review of the literature"
Alberto Piana, Alessio Pecoraro, Alicia López-Abad, et al.
Minerva Urology and Nephrology (2024) Vol. 76, Iss. 5
Closed Access
Development of a new scoring system predicting medical expulsive therapy success on 4–10 mm distal ureteral stones: medical expulsive therapy stone score (METSS)
Emre Uzun, Hasan Batuhan Arabaci, Kazım Ceviz, et al.
Urolithiasis (2023) Vol. 52, Iss. 1
Closed Access
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