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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:

Radiomics nomogram for preoperative prediction of progression-free survival using diffusion-weighted imaging in patients with muscle-invasive bladder cancer
Shenghai Zhang, Mengfan Song, Yuanshen Zhao, et al.
European Journal of Radiology (2020) Vol. 131, pp. 109219-109219
Closed Access | Times Cited: 30

Showing 1-25 of 30 citing articles:

Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis
S. M. Noman, Youssef M. Fadel, Mayar Tarek Henedak, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access | Times Cited: 1
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
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
CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study
Hongzheng Song, Shifeng Yang, Boyang Yu, et al.
Cancer Imaging (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 12
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 hybrid classification model with radiomics and CNN for high and low grading of prostate cancer Gleason score on mp-MRI
Feng Liu, Yuanshen Zhao, Jukun Song, et al.
Displays (2024) Vol. 83, pp. 102703-102703
Closed Access | Times Cited: 4
Identification of the optimal candidates to benefit from surgery and chemotherapy among elderly female breast cancer patients with bone metastases
Yu‐Chen Hu, Junfeng Tang, Xiaofeng Liu, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Establishment of a predictive nomogram for breast cancer lympho-vascular invasion based on radiomics obtained from digital breast tomography and clinical imaging features
Gang Liang, Suxin Zhang, Yiquan Zheng, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
Machine learning prediction model for functional prognosis of acute ischemic stroke based on MRI radiomics of white matter hyperintensities
Ying Xia, Linhui Li, Peipei Liu, et al.
BMC Medical Imaging (2025) Vol. 25, Iss. 1
Open Access
A Quantitative Method for Visual Appearance Recognition of Swollen Eyes Based on 3D Information of Eye-Related Key Points
Min Zhou, Yiyan Yang, Guangtao Zhai, et al.
Communications in computer and information science (2025), pp. 206-216
Closed Access
Optimisation and evaluation of the random forest model in the efficacy prediction of chemoradiotherapy for advanced cervical cancer based on radiomics signature from high-resolution T2 weighted images
Defeng Liu, Xiaohang Zhang, Tao Zheng, et al.
Archives of Gynecology and Obstetrics (2021) Vol. 303, Iss. 3, pp. 811-820
Open Access | Times Cited: 24
MRI-derived radiomics model for baseline prediction of prostate cancer progression on active surveillance
Nikita Sushentsev, Leonardo Rundo, Oleg Blyuss, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 24
State-of-the-Art Advances of Nanomedicine for Diagnosis and Treatment of Bladder Cancer
Chenfan Kong, Shaohua Zhang, Qifang Lei, et al.
Biosensors (2022) Vol. 12, Iss. 10, pp. 796-796
Open Access | Times Cited: 17
An eyelid parameters auto-measuring method based on 3D scanning
Ning Liu, Guanming Liang, Lunhao Li, et al.
Displays (2021) Vol. 69, pp. 102063-102063
Closed Access | Times Cited: 23
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
Machine Learning Based on MRI DWI Radiomics Features for Prognostic Prediction in Nasopharyngeal Carcinoma
Qiyi Hu, Guojie Wang, Xiaoyi Song, et al.
Cancers (2022) Vol. 14, Iss. 13, pp. 3201-3201
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
Identifying the risk factors of ICU-acquired fungal infections: clinical evidence from using machine learning
Yi-si Zhao, Qingpei Lai, Hong Tang, et al.
Frontiers in Medicine (2024) Vol. 11
Open Access | Times Cited: 2
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
MRI and RNA-seq fusion for prediction of pathological response to neoadjuvant chemotherapy in breast cancer
Hui Li, Yuanshen Zhao, Jingxian Duan, et al.
Displays (2024) Vol. 83, pp. 102698-102698
Closed Access | Times Cited: 1
Post-operative MRI synthesis from pre-operative MRI and post-operative CT using conditional GAN for the assessment of degree of resection
Miao Xuan, Hongyu Chen, Ming Tang, et al.
Displays (2024) Vol. 83, pp. 102742-102742
Closed Access | Times Cited: 1
CT radiomic signature predicts survival and chemotherapy benefit in stage I and II HPV-associated oropharyngeal carcinoma
Bolin Song, Kailin Yang, Vidya Sankar Viswanathan, et al.
npj Precision Oncology (2023) Vol. 7, Iss. 1
Open Access | Times Cited: 3
A nomogram combined with radiomics features, albuminuria, and metabolic syndrome to predict the risk of myometrial invasion of bladder cancer
Qi Zhou, Zhiyu Zhang, Xiaojie Ang, et al.
Translational Cancer Research (2021) Vol. 10, Iss. 7, pp. 3177-3191
Open Access | Times Cited: 6
miRNAs involvement in the etiology and targeted therapy of bladder cancer: Interaction between signaling pathway
Rishav Sharma, Rishabha Malviya
Precision Medical Sciences (2023) Vol. 12, Iss. 4, pp. 206-223
Open Access | Times Cited: 2
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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