Yangsean Choi

1.1k total citations
54 papers, 729 citations indexed

About

Yangsean Choi is a scholar working on Radiology, Nuclear Medicine and Imaging, Neurology and Otorhinolaryngology. According to data from OpenAlex, Yangsean Choi has authored 54 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Neurology and 11 papers in Otorhinolaryngology. Recurrent topics in Yangsean Choi's work include Radiomics and Machine Learning in Medical Imaging (16 papers), MRI in cancer diagnosis (12 papers) and Head and Neck Cancer Studies (11 papers). Yangsean Choi is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (16 papers), MRI in cancer diagnosis (12 papers) and Head and Neck Cancer Studies (11 papers). Yangsean Choi collaborates with scholars based in South Korea, United States and Belarus. Yangsean Choi's co-authors include So Lyung Jung, Kook Jin Ahn, Jinhee Jang, Bum‐Soo Kim, Na‐Young Shin, Min Kyoung Lee, Yoonho Nam, Youn Soo Lee, Hyun Seok Choi and Chan Kwon Jung and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Yangsean Choi

53 papers receiving 718 citations

Peers

Yangsean Choi
Inseon Ryoo South Korea
Inpyeong Hwang South Korea
Ryo Kurokawa Japan
Edward J. Escott United States
Patra Charalampaki Germany
Hiroko Satake Japan
Federico Caobelli Switzerland
Yao-Liang Chen Taiwan
Gada Gaballa Egypt
R Felix Germany
Inseon Ryoo South Korea
Yangsean Choi
Citations per year, relative to Yangsean Choi Yangsean Choi (= 1×) peers Inseon Ryoo

Countries citing papers authored by Yangsean Choi

Since Specialization
Citations

This map shows the geographic impact of Yangsean Choi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yangsean Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yangsean Choi more than expected).

Fields of papers citing papers by Yangsean Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yangsean Choi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yangsean Choi. The network helps show where Yangsean Choi may publish in the future.

Co-authorship network of co-authors of Yangsean Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Yangsean Choi. A scholar is included among the top collaborators of Yangsean Choi based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yangsean Choi. Yangsean Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Jeong, So Yeong, Chong Hyun Suh, Jae‐Sung Lim, et al.. (2025). Incidence of Amyloid-Related Imaging Abnormalities in Phase III Clinical Trials of Anti-Amyloid-β Immunotherapy. Neurology. 104(8). e213483–e213483. 6 indexed citations
2.
Jeong, So Yeong, Chong Hyun Suh, Jae‐Sung Lim, et al.. (2025). Anti-Amyloid Imaging Abnormality in the Era of Anti-Amyloid Beta Monoclonal Antibodies: Recent Updates for the Radiologist. PubMed. 86(1). 17–17. 1 indexed citations
3.
Park, Ji Eun, Seon‐Ok Kim, Yong Seo Koo, et al.. (2024). Improving Diagnostic Performance of MRI for Temporal Lobe Epilepsy With Deep Learning-Based Image Reconstruction in Patients With Suspected Focal Epilepsy. Korean Journal of Radiology. 25(4). 374–374. 10 indexed citations
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Choi, Yangsean, et al.. (2024). Deep learning–based multimodal segmentation of oropharyngeal squamous cell carcinoma on CT and MRI using self-configuring nnU-Net. European Radiology. 34(8). 5389–5400. 11 indexed citations
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Jung, Woojin, Hyunsoo Lee, Yoonho Nam, et al.. (2022). MR-self Noise2Noise: self-supervised deep learning–based image quality improvement of submillimeter resolution 3D MR images. European Radiology. 33(4). 2686–2698. 18 indexed citations
8.
Shin, Na‐Young, Yae Won Park, Sang‐Won Yoo, et al.. (2021). Adverse effects of hypertension, supine hypertension, and perivascular space on cognition and motor function in PD. npj Parkinson s Disease. 7(1). 69–69. 21 indexed citations
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Park, Ki-Sun, Yangsean Choi, Kook Jin Ahn, et al.. (2021). Prognostic value of MRI-measured tumor thickness in patients with tongue squamous cell carcinoma. Scientific Reports. 11(1). 11333–11333. 6 indexed citations
12.
Kim, Min‐Jung, Yangsean Choi, Youn Soo Lee, et al.. (2021). Early risk-assessment of patients with nasopharyngeal carcinoma: the added prognostic value of MR-based radiomics. Translational Oncology. 14(10). 101180–101180. 19 indexed citations
13.
Choi, Yangsean, Yoonho Nam, Jinhee Jang, et al.. (2020). Radiomics may increase the prognostic value for survival in glioblastoma patients when combined with conventional clinical and genetic prognostic models. European Radiology. 31(4). 2084–2093. 35 indexed citations
14.
Choi, Yangsean & Min Kyoung Lee. (2020). Neuroimaging findings of brain MRI and CT in patients with COVID-19: A systematic review and meta-analysis. European Journal of Radiology. 133. 109393–109393. 46 indexed citations
15.
Choi, Yangsean, Na‐Young Shin, Jinhee Jang, Kook Jin Ahn, & Bum‐Soo Kim. (2020). Dual-energy CT for differentiating acute intracranial hemorrhage from contrast staining or calcification: a meta-analysis. Neuroradiology. 62(12). 1617–1626. 18 indexed citations
16.
Choi, Yangsean, Yoonho Nam, Youn Soo Lee, et al.. (2020). IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation. European Journal of Radiology. 128. 109031–109031. 25 indexed citations
17.
Choi, Yangsean, So Lyung Jung, So Hee Lee, et al.. (2019). Comparison of efficacy and complications between radiofrequency ablation and repeat surgery in the treatment of locally recurrent thyroid cancers: a single-center propensity score matching study. International Journal of Hyperthermia. 36(1). 358–366. 50 indexed citations
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Choi, Yangsean, Kook Jin Ahn, Yoonho Nam, et al.. (2019). Analysis of heterogeneity of peritumoral T2 hyperintensity in patients with pretreatment glioblastoma: Prognostic value of MRI-based radiomics. European Journal of Radiology. 120. 108642–108642. 28 indexed citations
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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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