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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:

Artificial intelligence: A promising frontier in bladder cancer diagnosis and outcome prediction
Soheila Borhani, Reza Borhani, André Kajdacsy-Balla
Critical Reviews in Oncology/Hematology (2022) Vol. 171, pp. 103601-103601
Open Access | Times Cited: 52

Showing 1-25 of 52 citing articles:

Advances in diagnosis and treatment of bladder cancer
Antonio López-Beltrán, Michael S. Cookson, Brendan J. Guercio, et al.
BMJ (2024), pp. e076743-e076743
Open Access | Times Cited: 147
Iron homeostasis and ferroptosis in human diseases: mechanisms and therapeutic prospects
Qin Ru, Yusheng Li, Lin Chen, et al.
Signal Transduction and Targeted Therapy (2024) Vol. 9, Iss. 1
Open Access | Times Cited: 50
Advances in Diagnosis and Therapy for Bladder Cancer
Xinzi Hu, Guangzhi Li, Song Wu
Cancers (2022) Vol. 14, Iss. 13, pp. 3181-3181
Open Access | Times Cited: 41
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
HSPA5 Promotes the Proliferation, Metastasis and Regulates Ferroptosis of Bladder Cancer
Qinghua Wang, Shuai Ke, Zelin Liu, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 6, pp. 5144-5144
Open Access | Times Cited: 26
Artificial intelligence-assisted selection and efficacy prediction of antineoplastic strategies for precision cancer therapy
Zhe Zhang, Xiawei Wei
Seminars in Cancer Biology (2023) Vol. 90, pp. 57-72
Closed Access | Times Cited: 24
Artificial intelligence assisted patient blood and urine droplet pattern analysis for non-invasive and accurate diagnosis of bladder cancer
Ramiz Demir, Soner Koc, Deniz Gülfem Öztürk, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9
Potential clinical application of microRNAs in bladder cancer
Pei Wang, Xiaowei Wei, Xiaojun Qu, et al.
Journal of Biomedical Research (2024) Vol. 38, Iss. 4, pp. 289-289
Open Access | Times Cited: 5
Invasive Cancerous Area Detection in Non-Muscle Invasive Bladder Cancer Whole Slide Images
Saul Fuster, Farbod Khoraminia, Umay Kiraz, et al.
(2022), pp. 1-5
Open Access | Times Cited: 20
Real-time Detection of Bladder Cancer Using Augmented Cystoscopy with Deep Learning: a Pilot Study
Timothy Chang, Eugene Shkolyar, Francesco Del Giudice, et al.
Journal of Endourology (2023)
Closed Access | Times Cited: 11
Prediction of anticancer drug resistance using a 3D microfluidic bladder cancer model combined with convolutional neural network-based image analysis
Sungho Tak, Gyeongjin Han, Sun‐Hee Leem, et al.
Frontiers in Bioengineering and Biotechnology (2024) Vol. 11
Open Access | Times Cited: 4
A CT-based deep learning model predicts overall survival in patients with muscle invasive bladder cancer after radical cystectomy: a multicenter retrospective cohort study
Zongjie Wei, Yingjie Xv, Huayun Liu, et al.
International Journal of Surgery (2024)
Open Access | Times Cited: 4
A machine learning-based prognostic signature utilizing MSC proteomics for predicting bladder cancer prognosis and treatment response
Xinyu Zhang, Pan Li, Luhua Ji, et al.
Translational Oncology (2025) Vol. 54, pp. 102349-102349
Closed Access
The Association between Tea Consumption and Bladder Cancer Risk Based on the Bladder Cancer Epidemiology and Nutritional Determinants (BLEND) International Consortium
Yanxi Zhang, R. Wayne Albers, Ya‐Ting Chen, et al.
Nutrition and Cancer (2025), pp. 1-12
Closed 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
On relevant features for the recurrence prediction of urothelial carcinoma of the bladder
Louisa Schwarz, Dominik Sobania, Franz Rothlauf
International Journal of Medical Informatics (2024) Vol. 186, pp. 105414-105414
Open Access | Times Cited: 3
Radiomics for the Prediction of Overall Survival in Patients with Bladder Cancer Prior to Radical Cystectomy
Piotr Woźnicki, Fabian Christopher Laqua, Katharina Messmer, et al.
Cancers (2022) Vol. 14, Iss. 18, pp. 4449-4449
Open Access | Times Cited: 13
Artificial Intelligence to Predict the BRAF V595E Mutation in Canine Urinary Bladder Urothelial Carcinomas
Leonore Küchler, Caroline Posthaus, Kathrin Jäger, et al.
Animals (2023) Vol. 13, Iss. 15, pp. 2404-2404
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
Outcome Prediction Using Multi-Modal Information: Integrating Large Language Model-Extracted Clinical Information and Image Analysis
D. H. Sun, Lubomir M. Hadjiiski, John Gormley, et al.
Cancers (2024) Vol. 16, Iss. 13, pp. 2402-2402
Open Access | Times Cited: 2
Predicting Recurrence of Non-Muscle-Invasive Bladder Cancer: Current Techniques and Future Trends
Aya T. Shalata, Mohamed Shehata, Eric Van Bogaert, et al.
Cancers (2022) Vol. 14, Iss. 20, pp. 5019-5019
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
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
Survival Analysis of Superficial Bladder Cancer patients using DeepSurv and Cox models
K. Supriya, A. Anitha
(2024)
Closed Access | Times Cited: 1
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
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