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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:

A predictive nomogram for individualized recurrence stratification of bladder cancer using multiparametric MRI and clinical risk factors
Xiaopan Xu, Huanjun Wang, Peng Du, et al.
Journal of Magnetic Resonance Imaging (2019) Vol. 50, Iss. 6, pp. 1893-1904
Open Access | Times Cited: 68

Showing 26-50 of 68 citing articles:

Feasibility Study on Predicting Recurrence Risk of Bladder Cancer Based on Radiomics Features of Multiphase CT Images
Jing Qian, Ling Yang, Su Hu, 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
Multiparametric MRI-based VI-RADS: can it predict 1- to 5-year recurrence of bladder cancer?
Xiaopan Xu, Yiping Huang, Yang Liu, et al.
European Radiology (2023) Vol. 34, Iss. 5, pp. 3034-3045
Closed 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
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
Study Progress of Noninvasive Imaging and Radiomics for Decoding the Phenotypes and Recurrence Risk of Bladder Cancer
Xiaopan Xu, Huanjun Wang, Yan Guo, et al.
Frontiers in Oncology (2021) Vol. 11
Open Access | Times Cited: 17
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
Multiparametric MRI‐Based Deep Learning Radiomics Model for Assessing 5‐Year Recurrence Risk in Non‐Muscle Invasive Bladder Cancer
Haolin Huang, Yiping Huang, Joshua Kaggie, et al.
Journal of Magnetic Resonance Imaging (2024)
Closed Access | Times Cited: 2
Applications of radiomics in genitourinary tumors.
Longfei Liu, Xiaoping Yi, Can Lü, et al.
PubMed (2020) Vol. 10, Iss. 8, pp. 2293-2308
Closed Access | Times Cited: 15
MRI-based Nomogram Predicts the Risk of Progression of Unresectable Hepatocellular Carcinoma After Combined Lenvatinib and anti-PD-1 Antibody Therapy
Ruofan Sheng, Mengsu Zeng, Kaipu Jin, et al.
Academic Radiology (2021) Vol. 29, Iss. 6, pp. 819-829
Closed Access | Times Cited: 14
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
Contrast-enhanced CT radiomics features to predict recurrence of locally advanced oesophageal squamous cell cancer within 2 years after trimodal therapy
Sun Tang, Jing Ou, Yuping Wu, et al.
Medicine (2021) Vol. 100, Iss. 27, pp. e26557-e26557
Open Access | Times Cited: 12
Radiomic assessment as a method for predicting tumor mutation burden (TMB) of bladder cancer patients: a feasibility study
Xin Tang, Wen‐Lei Qian, Wei‐Feng Yan, et al.
BMC Cancer (2021) Vol. 21, Iss. 1
Open Access | Times Cited: 12
Classification of retinoblastoma-1 gene mutation with machine learning-based models in bladder cancer
Okan İnce, Hülya Yıldız, Tanju Kisbet, et al.
Heliyon (2022) Vol. 8, Iss. 4, pp. e09311-e09311
Open Access | Times Cited: 8
Feasibility analysis of arterial CT radiomics model to predict the risk of local and metastatic recurrence after radical cystectomy for bladder cancer
Huawang Lv, Xiaozhou Zhou, Yuan Liu, et al.
Discover Oncology (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
A nomogram for survival prediction in 275,812 U.S. patients with breast cancer: a population-based cohort study based on the SEER database
Zhe Wang, Lei Xing, Xinrong Luo, et al.
Gland Surgery (2022) Vol. 11, Iss. 7, pp. 1166-1179
Open Access | Times Cited: 7
Development and validation of a nomogram based on lymphocyte subsets to distinguish bipolar depression from major depressive disorder
Liming Su, Yibing Shuai, Shaoqi Mou, et al.
Frontiers in Psychiatry (2022) Vol. 13
Open Access | Times Cited: 7
The invasion depth measurement of bladder cancer using T2-weighted magnetic resonance imaging
Yang Liu, Haojie Zheng, Xiaopan Xu, et al.
BioMedical Engineering OnLine (2020) Vol. 19, Iss. 1
Open Access | Times Cited: 10
Radiomics and Bladder Cancer: Current Status
Giovanni Cacciamani, Nima Nassiri, Bino Varghese, et al.
Bladder Cancer (2020) Vol. 6, Iss. 3, pp. 343-362
Closed Access | Times Cited: 9
Prediction of p53 mutation status in rectal cancer patients based on magnetic resonance imaging-based nomogram: a study of machine learning
Xia Zhong, Jiaxuan Peng, Zhenyu Shu, et al.
Cancer Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 3
Advanced urothelial cancer: a radiology update
Francesco Alessandrino, Ola Ghaith, Kristin Williams, et al.
Abdominal Radiology (2019) Vol. 44, Iss. 12, pp. 3858-3873
Closed Access | Times Cited: 8
Development and validation of a nomogram to predict the prognosis of patients with squamous cell carcinoma of the bladder
Meidi Hu, Sihai Chen, Yuan Liu, et al.
Bioscience Reports (2019) Vol. 39, Iss. 12
Open Access | Times Cited: 7
RETRACTED ARTICLE: The diagnostic nomogram of platelet-based score models for hepatic alveolar echinococcosis and atypical liver cancer
Qiancheng Du, Yanyan Wang, Shihao Guan, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 6
Radiomics nomogram for predicting disease-free survival after partial resection or radical cystectomy in patients with bladder cancer
Qian Cai, Yiping Huang, Jian Ling, et al.
British Journal of Radiology (2023) Vol. 97, Iss. 1153, pp. 201-209
Open Access | Times Cited: 2

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