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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:

Predicting muscle invasion in bladder cancer based on MRI: A comparison of radiomics, and single-task and multi-task deep learning
Jianpeng Li, Zhengxuan Qiu, Kangyang Cao, et al.
Computer Methods and Programs in Biomedicine (2023) Vol. 233, pp. 107466-107466
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

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: 15
Grad-CAM: Understanding AI Models
Shuihua Wang, Yudong Zhang
Computers, materials & continua/Computers, materials & continua (Print) (2023) Vol. 76, Iss. 2, pp. 1321-1324
Open Access | Times Cited: 14
A foundation model with weak experiential guidance in detecting muscle invasive bladder cancer on MRI
Yu Gong, Xiaodong Zhang, Yifan Xia, et al.
Cancer Letters (2025) Vol. 611, pp. 217438-217438
Closed Access
Application of machine learning in polyimide structure design and property regulation
Wenjia Huo, Haiyue Wang, Liying Guo, et al.
High Performance Polymers (2025)
Closed Access
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
Optimizing bladder magnetic resonance imaging: accelerating scan time and improving image quality through deep learning
Er‐Jia Guo, Lixia Chen, Lili Xu, et al.
Abdominal Radiology (2025)
Closed Access
Enhancing winter wheat growth indicator prediction with multi-task learning and multi-source data
Heesang Song, Tingxuan Zhuang, Xiu-Jie Li, et al.
European Journal of Agronomy (2025) Vol. 168, pp. 127629-127629
Closed Access
Recent Advances in Artificial Intelligence for Precision Diagnosis and Treatment of Bladder Cancer: A Review
Xiangxiang Yang, Rui Yang, Xiuheng Liu, et al.
Annals of Surgical Oncology (2025)
Closed Access
Significance of multi-task deep learning neural networks for diagnosing clinically significant prostate cancer in plain abdominal CT
Yujun Geng, Xinlei Zhang, Ming Zhang, et al.
Frontiers in Oncology (2025) Vol. 15
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
Change Detection for Forest Ecosystems Using Remote Sensing Images with Siamese Attention U-Net
Ashen Iranga Hewarathna, Luke Hamlin, J. B. Charles, et al.
Technologies (2024) Vol. 12, Iss. 9, pp. 160-160
Open Access | Times Cited: 3
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: 3
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
A multicenter bladder cancer MRI dataset and baseline evaluation of federated learning in clinical application
Kangyang Cao, Yujian Zou, Chang Zhang, et al.
Scientific Data (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Bladder Cancer and Artificial Intelligence
Mark Laurie, Steve Zhou, Md Tauhidul Islam, et al.
Urologic Clinics of North America (2023) Vol. 51, Iss. 1, pp. 63-75
Closed Access | Times Cited: 6
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
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
Radiomic Prediction of CCND1 Expression Levels and Prognosis in Low-grade Glioma Based on Magnetic Resonance Imaging
Kun Zhao, Hui Zhang, Jianyang Lin, et al.
Academic Radiology (2024) Vol. 31, Iss. 11, pp. 4595-4610
Open Access | Times Cited: 1
Development of deep learning model for diagnosing muscle-invasive bladder cancer on MRI with vision transformer
Yasuhisa Kurata, Mizuho Nishio, Yusaku Moribata, et al.
Heliyon (2024) Vol. 10, Iss. 16, pp. e36144-e36144
Open Access | Times Cited: 1
Explainable breast cancer molecular expression prediction using multi-task deep-learning based on 3D whole breast ultrasound
Zengan Huang, Xin Zhang, Yan Ju, et al.
Insights into Imaging (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 1
The role of MRI in muscle-invasive bladder cancer: an update from the last two years
Giovanni Luigi Pastorino, Chiara Mercinelli, Andrea Necchi
Current Opinion in Urology (2024)
Closed Access | Times Cited: 1
Cultivating diagnostic clarity: The importance of reporting artificial intelligence confidence levels in radiologic diagnoses
Mobina Fathi, Kimia Vakili, Ramtin Hajibeygi, et al.
Clinical Imaging (2024) Vol. 117, pp. 110356-110356
Closed Access | Times Cited: 1
Rdinet: A Dynamic Mapping Model for Multimodal Feature Fusion for Treatment Response Prediction In Thyroid Eye Disease
Haiyang Zhang, Duojin Xia, Jialu Qu, et al.
(2024)
Closed Access
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