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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.

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Showing 1-25 of 27 citing articles:

Progress of Multiparameter Magnetic Resonance Imaging in Bladder Cancer: A Comprehensive Literature Review
Kangwen He, Xiaoyan Meng, Yanchun Wang, et al.
Diagnostics (2024) Vol. 14, Iss. 4, pp. 442-442
Open Access | Times Cited: 6
CD8A as a Prognostic and Immunotherapy Predictive Biomarker Can Be Evaluated by MRI Radiomics Features in Bladder Cancer
Zongtai Zheng, Yadong Guo, Xiongsheng Huang, et al.
Cancers (2022) Vol. 14, Iss. 19, pp. 4866-4866
Open Access | Times Cited: 27
Enhancing recurrence risk prediction for bladder cancer using multi-sequence MRI radiomics
Guoqiang Yang, Jingjing Bai, Min Hao, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Predicting muscle invasion in bladder cancer by deep learning analysis of MRI: comparison with vesical imaging–reporting and data system
Jianpeng Li, Kangyang Cao, Hongxin Lin, et al.
European Radiology (2022) Vol. 33, Iss. 4, pp. 2699-2709
Closed Access | Times Cited: 20
Utility of MRI in NMIBC and feasibility of avoiding Re-TURB in carefully selected patients: a systematic review
Amine Saouli, I. Żerda, Khalid Elkhader, et al.
World Journal of Urology (2025) Vol. 43, Iss. 1
Closed Access
Multiparametric MRI for Bladder Cancer: A Practical Approach to the Clinical Application of VI-RADS
Martina Pecoraro, Stefano Cipollari, Emanuele Messina, et al.
Radiology (2025) Vol. 314, Iss. 3
Closed 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
Magnetic resonance imaging-based radiomics signature for preoperative prediction of Ki67 expression in bladder cancer
Zongtai Zheng, Zhuoran Gu, Feijia Xu, et al.
Cancer Imaging (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 23
The Additional Value of Tri-parametric MRI in Identifying Muscle-invasive Status in Bladder Cancer
Yan Liu, Xiaopan Xu, Huanjun Wang, et al.
Academic Radiology (2022) Vol. 30, Iss. 1, pp. 64-76
Closed Access | Times Cited: 15
The role of radiomics with machine learning in the prediction of muscle-invasive bladder cancer: A mini review
Xiaodan Huang, Xiangyu Wang, Xinxin Lan, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 14
MRI-Based Radiomics in Bladder Cancer: A Systematic Review and Radiomics Quality Score Assessment
Bianca Boca, Cosmin Caraiani, Teodora Telecan, et al.
Diagnostics (2023) Vol. 13, Iss. 13, pp. 2300-2300
Open Access | Times Cited: 8
The efficacy and reliability of VI‐RADS in determining candidates for repeated transurethral resection in patients with high‐risk non‐muscle invasive bladder cancer
Mustafa Erkoç, Alper Ötünçtemur, Muammer Bozkurt, et al.
International Journal of Clinical Practice (2021) Vol. 75, Iss. 9
Closed Access | Times Cited: 20
Roles of apelin/APJ system in cancer: Biomarker, predictor, and emerging therapeutic target
Jiawei Chen, Zhiyue Li, Qun Zhao, et al.
Journal of Cellular Physiology (2022) Vol. 237, Iss. 10, pp. 3734-3751
Closed Access | Times Cited: 13
Multi‐Sequence and Multi‐Regional MRI‐Based Radiomics Nomogram for the Preoperative Assessment of Muscle Invasion in Bladder Cancer
Lu Zhang, Xiaoyang Li, Li Yang, et al.
Journal of Magnetic Resonance Imaging (2022) Vol. 58, Iss. 1, pp. 258-269
Closed Access | Times Cited: 12
A Brief Review of Artificial Intelligence in Genitourinary Oncological Imaging
Enis C. Yılmaz, Mason J. Belue, Barış Türkbey, et al.
Canadian Association of Radiologists Journal (2022) Vol. 74, Iss. 3, pp. 534-547
Open Access | Times Cited: 10
Fully automated bladder tumor segmentation from T2 MRI images using 3D U-Net algorithm
Diana Mihaela Coroamă, Laura Dioşan, Teodora Telecan, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 6
Diffusion-weighted MRI to determine response and long-term clinical outcomes in muscle-invasive bladder cancer following neoadjuvant chemotherapy
S. Hafeez, Mu Koh, Kelly Jones, et al.
Frontiers in Oncology (2022) Vol. 12
Open Access | Times Cited: 9
Integrating radiomics with the vesical imaging-reporting and data system to predict muscle invasion of bladder cancer
Wei Wang, Wei Li, Kexin Wang, et al.
Urologic Oncology Seminars and Original Investigations (2022) Vol. 41, Iss. 6, pp. 294.e1-294.e8
Closed Access | Times Cited: 9
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
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
Radiomics Prediction of Muscle Invasion in Bladder Cancer Using Semi-Automatic Lesion Segmentation of MRI Compared with Manual Segmentation
Yaojiang Ye, Zixin Luo, Zhengxuan Qiu, et al.
Bioengineering (2023) Vol. 10, Iss. 12, pp. 1355-1355
Open Access | Times Cited: 4
Multiparametric MRI-Based Radiomics Signature for Preoperative Estimation of Basal and Luminal Features in Bladder Cancer
Zongtai Zheng, Zhenwei Wang, Xiongsheng Huang, et al.
(2024)
Closed Access
Retrospective analysis of multiparametric MRI in Predicting Complete Pathologic Response of Neo-adjuvant Chemotherapy in Bladder Cancer
Daan De Maeseneer, Pieter De Visschere, Mats Van den Broecke, et al.
Research Square (Research Square) (2024)
Open Access
Preoperative Prediction of Muscle Invasiveness in Bladder Cancer: The Role of 3D Volumetric Radiomics Using Diffusion-Weighted MRI, the VI-RADS Score, or a Combination of Both
Merve Şam Özdemir, Sena Azamat, Harun Özdemïr, et al.
Annals of Surgical Oncology (2024) Vol. 31, Iss. 9, pp. 5845-5850
Closed Access
Current Status of Magnetic Resonance Imaging Use in Bladder Cancer
Hyungwoo Ahn
Investigative Radiology (2024)
Closed Access
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