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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:

Deep learning in bladder cancer imaging: A review
Mingyang Li, Zekun Jiang, Wei Shen, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 13

Showing 13 citing articles:

A review of cancer data fusion methods based on deep learning
Yuxin Zhao, Xiaobo Li, Changjun Zhou, et al.
Information Fusion (2024) Vol. 108, pp. 102361-102361
Closed Access | Times Cited: 15
Liquid Biopsy Based Bladder Cancer Diagnostic by Machine Learning
Ērika Bitiņa-Barlote, Dmitrijs Bļizņuks, S. Silina, et al.
Diagnostics (2025) Vol. 15, Iss. 4, pp. 492-492
Open Access
Advancements in Bladder Cancer Management: A Comprehensive Review of Artificial Intelligence and Machine Learning Applications
Manu Sudhi, Vinod Kumar Shukla, Dasharathraj K Shetty, et al.
Engineered Science (2023)
Open Access | Times Cited: 9
Multiparametric MRI in Era of Artificial Intelligence for Bladder Cancer Therapies
Oğuz Akın, Alfonso Lema-Dopico, Ramesh Paudyal, et al.
Cancers (2023) Vol. 15, Iss. 22, pp. 5468-5468
Open Access | Times Cited: 5
LCANet: A Lightweight Context-Aware Network for Bladder Tumor Segmentation in MRI Images
Yixing Wang, Xiang Li, Xiufen Ye
Mathematics (2023) Vol. 11, Iss. 10, pp. 2357-2357
Open Access | Times Cited: 4
Deep learning techniques for imaging diagnosis of renal cell carcinoma: current and emerging trends
Zijie Wang, Xiaofei Zhang, Xinning Wang, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 4
MDER-Net: A Multi-Scale Detail-Enhanced Reverse Attention Network for Semantic Segmentation of Bladder Tumors in Cystoscopy Images
Chao Nie, Chao Xu, Zhengping Li
Mathematics (2024) Vol. 12, Iss. 9, pp. 1281-1281
Open Access | Times Cited: 1
Artificial intelligence, machine learning and deep learning in biomedical fields: A prospect in improvising medical healthcare systems
Wajihul Hasan Khan, Md. Shayan Khan, Nida Khan, et al.
Elsevier eBooks (2024), pp. 55-68
Closed Access | Times Cited: 1
Rapid identification of medicinal plants via visual feature-based deep learning
Chaoqun Tan, Long Tian, Chunjie Wu, et al.
Plant Methods (2024) Vol. 20, Iss. 1
Open 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
Decision support systems in the diagnosis of urological diseases
A O Vasilyev, А. В. Говоров, P. Arutyunyan, et al.
Cancer Urology (2024) Vol. 20, Iss. 3, pp. 159-167
Open Access
Use cases in surgical pathology
Meera Hameed
Elsevier eBooks (2024), pp. 135-169
Closed Access
Bibliometric analysis of global research trends and hotspots on imaging of bladder cancer
Zijian Gong, Z. G. Liu, Jianghua Zhu, et al.
Research Square (Research Square) (2023)
Open Access
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