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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:

Quantitative Identification of Nonmuscle‐Invasive and Muscle‐Invasive Bladder Carcinomas: A Multiparametric MRI Radiomics Analysis
Xiaopan Xu, Xi Zhang, Qiang Tian, et al.
Journal of Magnetic Resonance Imaging (2018) Vol. 49, Iss. 5, pp. 1489-1498
Closed Access | Times Cited: 87

Showing 51-75 of 87 citing articles:

SMMF: a self-attention-based multi-parametric MRI feature fusion framework for the diagnosis of bladder cancer grading
Tingting Tao, Huiling Chen, Yunyun Shang, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 2
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
Multiparametric radiomics nomogram may be used for predicting the severity of esophageal varices in cirrhotic patients
Shang Wan, Yi Wei, Xin Zhang, et al.
Annals of Translational Medicine (2020) Vol. 8, Iss. 5, pp. 186-186
Open Access | Times Cited: 13
Multi-scale characterizations of colon polyps via computed tomographic colonography
Weiguo Cao, Marc J. Pomeroy, Yongfeng Gao, et al.
Visual Computing for Industry Biomedicine and Art (2019) Vol. 2, Iss. 1
Open Access | Times Cited: 12
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
Artificial Intelligence: The Latest Advances in the Diagnosis of Bladder Cancer
Samrath Singh, Ram Mohan Shukla
Journal of Urologic Oncology (2024) Vol. 22, Iss. 3, pp. 268-280
Closed Access | Times Cited: 1
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
Clinical value of texture analysis in differentiation of urothelial carcinoma based on multiphase computed tomography images
Zihua Wang, Yufang He, Nianhua Wang, et al.
Medicine (2020) Vol. 99, Iss. 18, pp. e20093-e20093
Open Access | Times Cited: 9
Radiomics Analysis Based on Ultrasound Images to Distinguish the Tumor Stage and Pathological Grade of Bladder Cancer
Ruizhi Gao, Rong Wen, Dong‐yue Wen, et al.
Journal of Ultrasound in Medicine (2021) Vol. 40, Iss. 12, pp. 2685-2697
Closed Access | Times Cited: 9
A novel DAVnet3+ method for precise segmentation of bladder cancer in MRI
Liang Wang, Lingkai Cai, Chunxiao Chen, et al.
The Visual Computer (2022) Vol. 39, Iss. 10, pp. 4737-4749
Closed Access | Times Cited: 6
Development and evaluation of a radiomics model of resting 13N-ammonia positron emission tomography myocardial perfusion imaging to predict coronary artery stenosis in patients with suspected coronary heart disease
Xiaochun Zhang, Taotao Sun, Entao Liu, et al.
Annals of Translational Medicine (2022) Vol. 10, Iss. 21, pp. 1167-1167
Open Access | Times Cited: 5
A Cad System For Accurate Diagnosis Of Bladder Cancer Staging Using A Multiparametric MRI
Kamal Hammouda, Fahmi Khalifa, Ahmed Soliman, et al.
2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI) (2021), pp. 1718-1721
Closed Access | Times Cited: 7
Radiomics-based T-staging of hollow organ cancers
Dong Huang, Xiaopan Xu, Peng Du, et al.
Frontiers in Oncology (2023) Vol. 13
Open Access | Times Cited: 2
Utility of first order MRI-Texture analysis parameters in the prediction of histologic grade and muscle invasion in urinary bladder cancer: a preliminary study
Abdul Razik, Chandan J. Das, Raju Sharma, et al.
British Journal of Radiology (2021) Vol. 94, Iss. 1122
Open Access | Times Cited: 5
Prediction of the treatment outcome using machine learning with FDG-PET image-based multiparametric approach in patients with oral cavity squamous cell carcinoma
Noriyuki Fujima, V. Carlota Andreu‐Arasa, Sara K. Meibom, et al.
Clinical Radiology (2021) Vol. 76, Iss. 9, pp. 711.e1-711.e7
Closed Access | Times Cited: 5
Real-World Visual Experience Alters Baseline Brain Activity in the Resting State: A Longitudinal Study Using Expertise Model of Radiologists
Jiaxi Su, Xiaoyan Zhang, Ziyuan Zhang, et al.
Frontiers in Neuroscience (2022) Vol. 16
Open Access | Times Cited: 3
Radiomics Nomogram Based on High-b-Value Diffusion-Weighted Imaging for Distinguishing the Grade of Bladder Cancer
Cui Feng, Ziling Zhou, Qiuhan Huang, et al.
Life (2022) Vol. 12, Iss. 10, pp. 1510-1510
Open Access | Times Cited: 3
Elaboration of a Radiomics Strategy for the Prediction of the Re-positive Cases in the Discharged Patients With COVID-19
Xiaohui Wang, Xiaopan Xu, Zhi Ao, et al.
Frontiers in Medicine (2021) Vol. 8
Open Access | Times Cited: 4
PIxel-Level Segmentation of Bladder Tumors on MR Images Using a Random Forest Classifier
Ziqi Li, Na Feng, Huangsheng Pu, et al.
Technology in Cancer Research & Treatment (2022) Vol. 21
Open Access | Times Cited: 3
Compressed Sensing 3D T2WI Radiomics Model: Improving Diagnostic Performance in Muscle Invasion of Bladder Cancer
Shuo Li, Zhichang Fan, Junting Guo, et al.
(2024)
Closed Access
Predicting Tumour Response With Radiomics and Machine Learning in MR-Guided Cervix Brachytherapy
Robert Bellis
(2024)
Open Access
Predicting Tumour Response With Radiomics and Machine Learning in MR-Guided Cervix Brachytherapy
Robert Bellis
(2024)
Open Access
Compressed sensing 3D T2WI radiomics model: improving diagnostic performance in muscle invasion of bladder cancer
Shuo Li, Zhichang Fan, Junting Guo, et al.
BMC Medical Imaging (2024) Vol. 24, Iss. 1
Open Access
Textual Analysis of CT and MR images in bladder cancer: The promise and pitfalls in systematic review
A. A. Kovalenko, В. Е. Синицын, Victor Petrovichev
Digital Diagnostics (2024)
Open Access
An intelligent system for the diagnosis of bladder cancer using enhanced hunger games search and support vector machine
Chen Wu, Zhijia Li, Lei Liu, et al.
Biomedical Signal Processing and Control (2024) Vol. 103, pp. 107431-107431
Closed Access

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