Hot topics in global radiomic research: a Web of Science-based bibliometric analysis

Miyang Yang; Yongting Kong; JiayeKong Long; Wan Qi

doi:10.1117/12.2687411

28 August 2023 Hot topics in global radiomic research: a Web of Science-based bibliometric analysis

Miyang Yang, Yongting Kong, JiayeKong Long, Wan Qi

Proceedings Volume 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023); 127240Q (2023) https://doi.org/10.1117/12.2687411
Event: Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), 2023, Xiamen, China

Abstract

With the continuous development of big data and artificial intelligence in the medical field, Radiomic which is a new imaging technology plays an increasingly important role in the diagnosis and prognosis evaluation of diseases and the analysis and prediction of tumor gene expression. This study provides a bibliometric and visualized analysis of the 100 most frequently cited articles in the field. A total of 9,780 articles were retrieved, of which 6,402 were of the Article type, among which we selected the 100 most frequently cited. The method reveals the development trend of this field to provide an effective reference for the development of Radiomic.

Citation Download Citation

Miyang Yang, Yongting Kong, JiayeKong Long, and Wan Qi "Hot topics in global radiomic research: a Web of Science-based bibliometric analysis", Proc. SPIE 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 127240Q (28 August 2023); https://doi.org/10.1117/12.2687411

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