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:

Uncovering additional predictors of urothelial carcinoma from voided urothelial cell clusters through a deep learning–based image preprocessing technique
Joshua Levy, Xiaoying Liu, Jonathan D. Marotti, et al.
Cancer Cytopathology (2022) Vol. 131, Iss. 1, pp. 19-29
Open Access | Times Cited: 12

Showing 12 citing articles:

Artificial Intelligence Applications in Cytopathology
Louis Vaickus, Darcy A. Kerr, Jaylou M. Velez Torres, et al.
Surgical pathology clinics (2024) Vol. 17, Iss. 3, pp. 521-531
Closed Access | Times Cited: 4

Large‐scale validation study of an improved semiautonomous urine cytology assessment tool: AutoParis‐X
Joshua Levy, Natt Chan, Jonathan D. Marotti, et al.
Cancer Cytopathology (2023) Vol. 131, Iss. 10, pp. 637-654
Open Access | Times Cited: 10

Computer-assisted scatter plot analysis of cell and nuclear areas distinguishes urothelial carcinoma in urine cytology specimens
Chinami Hoshino, Sayaka Kobayashi, Yoshimi Nishijima, et al.
CytoJournal (2025) Vol. 22, pp. 12-12
Open Access

Computer-assisted diagnosis to improve diagnostic pathology: A review
Alessandro Caputo, Elisabetta Maffei, Nalini Gupta, et al.
Indian Journal of Pathology and Microbiology (2025) Vol. 68, Iss. 1, pp. 3-10
Open Access

Evaluating artificial intelligence–enhanced digital urine cytology for bladder cancer diagnosis
Tien‐Jen Liu, Wen‐Chi Yang, Shin‐Min Huang, et al.
Cancer Cytopathology (2024) Vol. 132, Iss. 11, pp. 686-695
Open Access | Times Cited: 3

Examining longitudinal markers of bladder cancer recurrence through a semiautonomous machine learning system for quantifying specimen atypia from urine cytology
Joshua Levy, Natt Chan, Jonathan D. Marotti, et al.
Cancer Cytopathology (2023) Vol. 131, Iss. 9, pp. 561-573
Open Access | Times Cited: 8

A Review of the Performance of Urinary Cytology with a Focus on Atypia, Upper Tract and Updates on Novel Ancillary Testing
Olisaemeka Chukwudebe, Elizabeth Lynch, Manish Vira, et al.
Journal of the American Society of Cytopathology (2024)
Closed Access | Times Cited: 2

Large-scale longitudinal comparison of urine cytological classification systems reveals potential early adoption of The Paris System criteria
Joshua Levy, Xiaoying Liu, Jonathan D. Marotti, et al.
Journal of the American Society of Cytopathology (2022) Vol. 11, Iss. 6, pp. 394-402
Open Access | Times Cited: 6

Large-Scale Validation Study of an Improved Semi-Autonomous Urine Cytology Assessment Tool: AutoParis-X
Joshua Levy, Natt Chan, Jonathan D. Marotti, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1

The future of digital cytology and artificial intelligence: an editorial commentary for Digital Cytology part 1 and 2
Joshua Levy, Keluo Yao
Journal of the American Society of Cytopathology (2023) Vol. 13, Iss. 2, pp. 81-85
Closed Access

Artificial Intelligence, Bioinformatics, and Pathology
Joshua Levy, Yunrui Lu, Marietta Montivero, et al.
Advances in Molecular Pathology (2022) Vol. 5, Iss. 1, pp. e25-e52
Closed Access

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