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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:

An artificial intelligence model for the pathological diagnosis of invasion depth and histologic grade in bladder cancer
Jiexin Pan, Guibin Hong, Hong Zeng, et al.
Journal of Translational Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 17

Showing 17 citing articles:

Applications of artificial intelligence in urologic oncology
Sahyun Pak, Sung Gon Park, Jeonghyun Park, et al.
Investigative and Clinical Urology (2024) Vol. 65, Iss. 3, pp. 202-202
Open Access | Times Cited: 4
AI-driven digital pathology in urological cancers: current trends and future directions
Inyoung Paik, Geongyu Lee, Joon-Ho Lee, et al.
Prostate International (2025)
Open Access
Pathology-based deep learning features for predicting basal and luminal subtypes in bladder cancer
Zongtai Zheng, Feihan F. Dai, Ji Liu, et al.
BMC Cancer (2025) Vol. 25, Iss. 1
Open Access
Recent Advances in Artificial Intelligence for Precision Diagnosis and Treatment of Bladder Cancer: A Review
Xiangxiang Yang, Rui Yang, Xiuheng Liu, et al.
Annals of Surgical Oncology (2025)
Closed Access
A review of Artificial Intelligence methods in bladder cancer: segmentation, classification, and detection
Ayah Bashkami, Ahmad Nasayreh, Sharif Naser Makhadmeh, et al.
Artificial Intelligence Review (2024) Vol. 57, Iss. 12
Open Access | Times Cited: 3
The Present and Future of Artificial Intelligence in Urological Cancer
Xun Liu, Jianxi Shi, Zhaopeng Li, et al.
Journal of Clinical Medicine (2023) Vol. 12, Iss. 15, pp. 4995-4995
Open Access | Times Cited: 7
Artificial intelligence application in the diagnosis and treatment of bladder cancer: advance, challenges, and opportunities
Xiaoyu Ma, Qiuchen Zhang, Lingling He, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2
Challenges of artificial intelligence in precision oncology: public-private partnerships including national health agencies as an asset to make it happen
Vinh-Phuc Luu, Matilde Fiorini, Sarah Combes, et al.
Annals of Oncology (2023) Vol. 35, Iss. 2, pp. 154-158
Open Access | Times Cited: 5
Precise grading of non-muscle invasive bladder cancer with multi-scale pyramidal CNN
Aya T. Shalata, Ahmed Alksas, Mohamed Shehata, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 1
Preoperative fluorescence in situ hybridization analysis as a predictor of tumor recurrence in patients with non-muscle invasive bladder cancer: a bi-institutional study
Junjiong Zheng, Sihong Lu, Yi Huang, et al.
Journal of Translational Medicine (2023) Vol. 21, Iss. 1
Open Access | Times Cited: 3
培養細胞における細胞内細胞現象を用いた機械学習の精度とブラックボックス問題の検討
Moe Kameda, Mizuha Oi, Yuki Kanehira, et al.
The Kitakanto Medical Journal (2024) Vol. 74, Iss. 1, pp. 51-58
Open Access
Impact of Artificial Intelligence and Machine Learning on Urological Practice
Muhammad Jabran Abad Ali, Imran Rashid Rangraze
Journal of Datta Meghe Institute of Medical Sciences University (2024) Vol. 19, Iss. 2, pp. 235-241
Closed Access
Lesion Localization and Pathological Diagnosis of Ovine Pulmonary Adenocarcinoma Based on MASK R-CNN
S.R. Wayne Chen, Pei Zhang, Xujie Duan, et al.
Animals (2024) Vol. 14, Iss. 17, pp. 2488-2488
Open Access
A narrative review of advances in the management of urothelial cancer: Diagnostics and treatments.
Shaoxu Wu, Shengwei Xiong, Juan Li, et al.
PubMed (2024) Vol. 11, Iss. 1, pp. e21200003-e21200003
Closed Access
A survey on bladder cancer detection and classification using deep learning algorithms
Roaa Razaq, Ebtesam N. AlShemmary, Zhentai Lu
AIP conference proceedings (2024) Vol. 3232, pp. 020026-020026
Closed Access
Digital and Computational Pathology Applications in Bladder Cancer: Novel Tools Addressing Clinically Pressing Needs
João Lobo, Bassel Zein‐Sabatto, Priti Lal, et al.
Modern Pathology (2024) Vol. 38, Iss. 1, pp. 100631-100631
Closed Access
Artificial Intelligence in Uropathology
Kátia Ramos Moreira Leite, Petrônio Augusto de Souza Melo
Diagnostics (2024) Vol. 14, Iss. 20, pp. 2279-2279
Open Access
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