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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:

Deep learning signature based on multiphase enhanced CT for bladder cancer recurrence prediction: a multi-center study
Hexiang Wang, Meng Zhang, Jianguo Miao, et al.
EClinicalMedicine (2023) Vol. 66, pp. 102352-102352
Open Access | Times Cited: 12

Showing 12 citing articles:

SE-BLS: A Shapley-Value-Based Ensemble Broad Learning System with collaboration-based feature selection and CAM visualization
Jianguo Miao, Xuanxuan Liu, Li Guo, et al.
Knowledge-Based Systems (2024) Vol. 301, pp. 112343-112343
Closed Access | Times Cited: 4
AI predicting recurrence in non-muscle-invasive bladder cancer: systematic review with study strengths and weaknesses
Saram Abbas, Rishad Shafik, Naeem Soomro, et al.
Frontiers in Oncology (2025) Vol. 14
Open Access
Prognostic factors in T1 high-grade urothelial carcinoma of the bladder with lymphovascular invasion: a retrospective cohort study
Yajun Li, Xiaoyu Sun, Yue Wang, et al.
International Urology and Nephrology (2025)
Closed Access
On relevant features for the recurrence prediction of urothelial carcinoma of the bladder
Louisa Schwarz, Dominik Sobania, Franz Rothlauf
International Journal of Medical Informatics (2024) Vol. 186, pp. 105414-105414
Open Access | Times Cited: 3
Artificial Intelligence-Based Classification and Segmentation of Bladder Cancer in Cystoscope Images
Wonku Hwang, Seon Beom Jo, Da Eun Han, et al.
Cancers (2024) Vol. 17, Iss. 1, pp. 57-57
Open Access | Times Cited: 2
Coupling Habitat Radiomic Analysis with the Diversification of the Tumor ecosystem: Illuminating New Strategy in the Assessment of Postoperative Recurrence of Non-Muscle Invasive Bladder Cancer
Hong Li, Yiqun Sui, Yongli Tao, et al.
Academic Radiology (2024) Vol. 32, Iss. 2, pp. 821-833
Closed Access | Times Cited: 1
Letter to the editor: Multiparametric MRI-based VI-RADS: Can it predict 1- to 5-year recurrence of bladder cancer?
Bai Rongjie, Cai Lingkai, Chenghao Wang, et al.
European Radiology (2024)
Closed Access
Integrated multicenter deep learning system for prognostic prediction in bladder cancer
Quanhao He, Bangxin Xiao, Yiwen Tan, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access
Bladder cancer treatment with artificial intelligence
Tianxin Lin
Elsevier eBooks (2024), pp. 133-155
Closed Access
Using CT images to assist the segmentation of MR images via generalization: Segmentation of the renal parenchyma of renal carcinoma patients
Zhengyang Yu, Tongtong Zhao, Zuqiang Xi, et al.
Medical Physics (2024) Vol. 52, Iss. 2, pp. 951-964
Closed Access
A conventional radiomics model for predicting disease-free survival in colorectal cancer patients with liver metastasis
Xiping Shen, Ji Wu
Translational Oncology (2024) Vol. 51, pp. 102191-102191
Closed Access
Precise vesical wall staging of bladder cancer in the era of precision medicine: has it been fulfilled?
Mohamed Ragab Nouh, Omnia Ezz Eldin
Abdominal Radiology (2024)
Closed Access
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