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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:

Role of Radiomics in the Prediction of Muscle-invasive Bladder Cancer: A Systematic Review and Meta-analysis
Mieszko Kozikowski, Rodrigo Suarez-Ibarrola, Raúl Osiecki, et al.
European Urology Focus (2021) Vol. 8, Iss. 3, pp. 728-738
Closed Access | Times Cited: 57

Showing 1-25 of 57 citing articles:

European Association of Urology Guidelines on Muscle-invasive and Metastatic Bladder Cancer: Summary of the 2023 Guidelines
J. Alfred Witjes, Harman Max Bruins, Albert Carrión, et al.
European Urology (2023) Vol. 85, Iss. 1, pp. 17-31
Open Access | Times Cited: 321
Systematic review of the radiomics quality score applications: an EuSoMII Radiomics Auditing Group Initiative
Gaia Spadarella, Arnaldo Stanzione, Tugba Akinci D’Antonoli, et al.
European Radiology (2022) Vol. 33, Iss. 3, pp. 1884-1894
Open Access | Times Cited: 81
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
Radiomics as a New Frontier of Imaging for Cancer Prognosis: A Narrative Review
Alfonso Reginelli, Valerio Nardone, Giuliana Giacobbe, et al.
Diagnostics (2021) Vol. 11, Iss. 10, pp. 1796-1796
Open Access | Times Cited: 41
An overview of meta-analyses on radiomics: more evidence is needed to support clinical translation
Jingyu Zhong, Junjie Lu, Guangcheng Zhang, et al.
Insights into Imaging (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 19
Systematic reviews of machine learning in healthcare: a literature review
Katarzyna Kolasa, Bisrat Yeshewas Admassu, Malwina Hołownia-Voloskova, et al.
Expert Review of Pharmacoeconomics & Outcomes Research (2023) Vol. 24, Iss. 1, pp. 63-115
Open Access | Times Cited: 14
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
Predicting preoperative muscle invasion status for bladder cancer using computed tomography-based radiomics nomogram
Rui Zhang, Shijun Jia, Linhan Zhai, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 4
Multi-path neural network based on mp-MRI for predicting muscle-invasive bladder cancer
Jie Yu, Lingkai Cai, Chunxiao Chen, et al.
Intelligent Data Analysis (2025)
Closed Access
European Association of Urology Guidelines on Muscle-invasive and Metastatic Bladder Cancer: Summary of the 2025 Guidelines
Antoine G. van der Heijden, Harman Max Bruins, Albert Carrión, et al.
European Urology (2025)
Closed Access
Deep learning on T2WI to predict the muscle-invasive bladder cancer: a multi-center clinical study
Lingkai Cai, Xiao Yang, Jie Yu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Artificial Intelligence Performance in Image-Based Cancer Identification: Umbrella Review of Systematic Reviews
Haishan Xu, Ting‐Ting Gong, Xin‐Jian Song, et al.
Journal of Medical Internet Research (2025) Vol. 27, pp. e53567-e53567
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
CT-based deep learning radiomics signature for the preoperative prediction of the muscle-invasive status of bladder cancer
Weitian Chen, Mancheng Gong, Dongsheng Zhou, 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
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
Systematic radiomics analysis based on multiparameter MRI to preoperatively predict the expression of Ki67 and histological grade in patients with bladder cancer
Xuhui Fan, Hongwei Yu, Ni Xie, et al.
British Journal of Radiology (2023) Vol. 96, Iss. 1145
Closed Access | Times Cited: 7
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
Radiomics Signature Using Manual Versus Automated Segmentation for Lymph Node Staging of Bladder Cancer
Eva Gresser, Piotr Woźnicki, Katharina Messmer, et al.
European Urology Focus (2022) Vol. 9, Iss. 1, pp. 145-153
Closed Access | Times Cited: 10
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
Radiomics vs radiologist in bladder and renal cancer. Results from a systematic review
Pietro Tramanzoli, Daniele Castellani, Virgilio De Stefano, et al.
Editor-in-Chief s Voice List of Authors is an Important Element in a Scientific Publication (2023)
Open Access | Times Cited: 5
Testicular Radiomics To Predict Pathology At Time of Postchemotherapy Retroperitoneal Lymph Node Dissection for Nonseminomatous Germ Cell Tumor
Nikit Venishetty, Jacob Taylor, Yin Xi, et al.
Clinical Genitourinary Cancer (2023) Vol. 22, Iss. 1, pp. 33-37
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
A novel predict method for muscular invasion of bladder cancer based on 3D mp-MRI feature fusion
Jie Yu, Lingkai Cai, Chunxiao Chen, et al.
Physics in Medicine and Biology (2024) Vol. 69, Iss. 5, pp. 055011-055011
Closed Access | Times Cited: 1
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