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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:

Performing Automatic Identification and Staging of Urothelial Carcinoma in Bladder Cancer Patients Using a Hybrid Deep-Machine Learning Approach
Suryadipto Sarkar, Kong Min, Waleed Ikram, et al.
Cancers (2023) Vol. 15, Iss. 6, pp. 1673-1673
Open Access | Times Cited: 23

Showing 23 citing articles:

Artificial Intelligence in the Advanced Diagnosis of Bladder Cancer-Comprehensive Literature Review and Future Advancement
Matteo Ferro, Ugo Giovanni Falagario, Biagio Barone, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2308-2308
Open Access | Times Cited: 30
Emerging Trends in AI and Radiomics for Bladder, Kidney, and Prostate Cancer: A Critical Review
Georgios Feretzakis, Patrick Juliebø‐Jones, Arman Tsaturyan, et al.
Cancers (2024) Vol. 16, Iss. 4, pp. 810-810
Open Access | Times Cited: 12
Editorial: Recent Advances in Deep Learning and Medical Imaging for Cancer Treatment
Muhammad Fazal Ijaz, Marcin Woźniak
Cancers (2024) Vol. 16, Iss. 4, pp. 700-700
Open Access | Times Cited: 5
Prediction of Ki-67 expression in bladder cancer based on CT radiomics nomogram
Shengxing Feng, Dongsheng Zhou, Yueming Li, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 5
Development of a Machine Learning Model to Predict Recurrence of Oral Tongue Squamous Cell Carcinoma
Yasaman Fatapour, Arash Abiri, Edward C. Kuan, et al.
Cancers (2023) Vol. 15, Iss. 10, pp. 2769-2769
Open Access | Times Cited: 11
Imaging in Upper Tract Urothelial Carcinoma: A Review
Lucas Tsikitas, Michelle Hopstone, A. Raman, et al.
Cancers (2023) Vol. 15, Iss. 20, pp. 5040-5040
Open Access | Times Cited: 11
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
Accurate bladder cancer diagnosis using ensemble deep leaning
Rana A. El-Atier, Mohamed S. Saraya, Ahmed I. Saleh, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
The accuracy and quality of image-based artificial intelligence for muscle-invasive bladder cancer prediction
Chunlei He, Hui Xu, Enyu Yuan, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Multi-Modal Federated Learning for Cancer Staging Over Non-IID Datasets With Unbalanced Modalities
Kasra Borazjani, Naji Khosravan, Leslie Ying, et al.
IEEE Transactions on Medical Imaging (2024) Vol. 44, Iss. 1, pp. 556-573
Open Access | Times Cited: 3
Efficient bladder cancer diagnosis using an improved RIME algorithm with Orthogonal Learning
Mosa E. Hosney, Essam H. Houssein, Mohammed R. Saad, et al.
Computers in Biology and Medicine (2024) Vol. 182, pp. 109175-109175
Closed Access | Times Cited: 3
The classification of the bladder cancer based on Vision Transformers (ViT)
Ola S. Khedr, M. El-Sayed Wahed, Al-Sayed R. Al-Attar, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 6
AI-powered radiomics: revolutionizing detection of urologic malignancies
David G. Gelikman, Soroush Rais‐Bahrami, Peter A. Pinto, et al.
Current Opinion in Urology (2023) Vol. 34, Iss. 1, pp. 1-7
Closed Access | Times Cited: 5
Integrative machine learning algorithms for developing a consensus RNA modification-based signature for guiding clinical decision-making in bladder cancer
Shijun Jia, Linhan Zhai, Feng Wu, et al.
ONCOLOGIE (2023) Vol. 26, Iss. 2, pp. 269-285
Open Access | Times Cited: 5
Privacy-preserving AI for early diagnosis of thoracic diseases using IoTs: A federated learning approach with multi-headed self-attention for facilitating cross-institutional study
Imran Arshad Choudhry, Saeed Iqbal, Musaed Alhussein, et al.
Internet of Things (2024) Vol. 27, pp. 101296-101296
Closed Access | Times Cited: 1
New Challenges in Bladder Cancer Diagnosis: How Biosensing Tools Can Lead to Population Screening Opportunities
Fabiana Tortora, Antonella Guastaferro, Simona Barbato, et al.
Sensors (2024) Vol. 24, Iss. 24, pp. 7873-7873
Open Access | Times Cited: 1
Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities
Kasra Borazjani, Naji Khosravan, Leslie Ying, et al.
arXiv (Cornell University) (2024)
Open Access
Multitask Learning for Concurrent Grading Diagnosis and Semi-Supervised Segmentation of Honeycomb Lung in CT Images
Yunyun Dong, Bingqian Yang, Xiufang Feng
Electronics (2024) Vol. 13, Iss. 11, pp. 2115-2115
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
Artificial Intelligence in Uropathology
Kátia Ramos Moreira Leite, Petrônio Augusto de Souza Melo
Diagnostics (2024) Vol. 14, Iss. 20, pp. 2279-2279
Open Access
Precise vesical wall staging of bladder cancer in the era of precision medicine: has it been fulfilled?
Mohamed Ragab Nouh, Omnia Ezz Eldin
Abdominal Radiology (2024)
Closed Access
An intelligent system for the diagnosis of bladder cancer using enhanced hunger games search and support vector machine
Chen Wu, Zhijia Li, Lei Liu, et al.
Biomedical Signal Processing and Control (2024) Vol. 103, pp. 107431-107431
Closed Access
The Classification of the Bladder Cancer based on Vision Transformers (ViT)
Ola S. Khedr, M. El-Sayed Wahed, Al-Sayed R. Al-Attar, et al.
Research Square (Research Square) (2023)
Open Access
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