Yoon‐Seok Choi

522 total citations
36 papers, 406 citations indexed

About

Yoon‐Seok Choi is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Control and Systems Engineering. According to data from OpenAlex, Yoon‐Seok Choi has authored 36 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Control and Systems Engineering. Recurrent topics in Yoon‐Seok Choi's work include Advanced Vision and Imaging (6 papers), Human Motion and Animation (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Yoon‐Seok Choi is often cited by papers focused on Advanced Vision and Imaging (6 papers), Human Motion and Animation (5 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Yoon‐Seok Choi collaborates with scholars based in South Korea, Australia and Russia. Yoon‐Seok Choi's co-authors include Jeongyun Seo, Hee Chan Kim, Eun‐Hee Lee, Su Hyun Lee, Woo Kyung Moon, Aree Moon, Dongeun Huh, Cassidy Blundell, Kyung Won Kim and Hwon Heo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Brain Research.

In The Last Decade

Yoon‐Seok Choi

32 papers receiving 399 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yoon‐Seok Choi South Korea 8 180 126 65 41 37 36 406
Shuliang Wu China 13 72 0.4× 31 0.2× 21 0.3× 152 3.7× 25 0.7× 21 494
Ekram Ahmed Chowdhury United States 13 83 0.5× 94 0.7× 21 0.3× 173 4.2× 20 0.5× 21 429
Ze-Ping Huang China 12 37 0.2× 65 0.5× 53 0.8× 140 3.4× 79 2.1× 31 411
Claudia Foray Germany 12 34 0.2× 52 0.4× 39 0.6× 150 3.7× 33 0.9× 19 388
Arno Doelemeyer Switzerland 11 62 0.3× 74 0.6× 114 1.8× 144 3.5× 34 0.9× 25 576
Junxian Cao China 14 96 0.5× 39 0.3× 12 0.2× 209 5.1× 57 1.5× 28 527
William A. Vandergrift United States 16 84 0.5× 111 0.9× 121 1.9× 302 7.4× 82 2.2× 40 854
Zhiping Cai China 12 29 0.2× 92 0.7× 52 0.8× 140 3.4× 72 1.9× 25 369
Aurélien Lathuilière Switzerland 10 54 0.3× 31 0.2× 27 0.4× 154 3.8× 10 0.3× 31 435
Jing Du China 12 64 0.4× 25 0.2× 25 0.4× 259 6.3× 20 0.5× 27 494

Countries citing papers authored by Yoon‐Seok Choi

Since Specialization
Citations

This map shows the geographic impact of Yoon‐Seok 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 Yoon‐Seok Choi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoon‐Seok Choi more than expected).

Fields of papers citing papers by Yoon‐Seok Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yoon‐Seok 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 Yoon‐Seok Choi. The network helps show where Yoon‐Seok Choi may publish in the future.

Co-authorship network of co-authors of Yoon‐Seok Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Yoon‐Seok Choi. A scholar is included among the top collaborators of Yoon‐Seok 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 Yoon‐Seok Choi. Yoon‐Seok 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.
Kim, Kyung Won, Mi Hyun Kim, Chul‐Woong Woo, et al.. (2024). Comparison of the Pharmacokinetics of Gadolinium-Based and Iron Oxide-Based Contrast Agents inside the Lymphatic Structure using Magnetic Resonance Lymphangiography. Molecular Imaging and Biology. 26(4). 638–648. 1 indexed citations
2.
Heo, Hwon, Joongkee Min, Sang Tae Kim, et al.. (2023). Is aryl hydrocarbon receptor antagonism after ischemia effective in alleviating acute hepatic ischemia-reperfusion injury in rats?. Heliyon. 9(5). e15596–e15596. 2 indexed citations
3.
4.
Choi, Yoon‐Seok, et al.. (2020). Stencil‐based 3D facial relief creation from RGBD images for 3D printing. ETRI Journal. 42(2). 272–281. 2 indexed citations
5.
Choi, Yoon‐Seok, et al.. (2019). Acquisition System Based on Multisensors for Preserving Traditional Korean Painting. Sensors. 19(19). 4292–4292.
6.
Woo, Chul‐Woong, Kyung Won Kim, Yoon‐Seok Choi, et al.. (2019). Does the Apparent Diffusion Coefficient Value Predict Permanent Cerebral Ischemia/Reperfusion Injury in Rats?. Academic Radiology. 26(12). e348–e354. 2 indexed citations
7.
Kim, Jin-Il, Hwon Heo, Chul‐Woong Woo, et al.. (2019). Magnetic Resonance Colonography Enables the Efficacy Assessment of Immune Checkpoint Inhibitors in an Orthotopic Colorectal Cancer Mouse Model. Translational Oncology. 12(9). 1264–1270. 3 indexed citations
8.
9.
Kim, Jin-Il, Sang Hyun Choi, Young Chul Cho, et al.. (2018). Evaluation of drug mechanism and efficacy of a novel anti-angiogenic agent, TTAC-0001, using multi-modality bioimaging in a mouse breast cancer orthotopic model. PLoS ONE. 13(1). e0187063–e0187063. 2 indexed citations
10.
Woo, Chul‐Woong, Kyung Won Kim, Sang‐Beom Jeon, et al.. (2017). The administration of hydrogen sulphide prior to ischemic reperfusion has neuroprotective effects in an acute stroke model. PLoS ONE. 12(11). e0187910–e0187910. 13 indexed citations
11.
Choi, Sang Hyun, Seung Chai Jung, Kyung Won Kim, et al.. (2016). Perfusion MRI as the predictive/prognostic and pharmacodynamic biomarkers in recurrent malignant glioma treated with bevacizumab: a systematic review and a time-to-event meta-analysis. Journal of Neuro-Oncology. 128(2). 185–194. 30 indexed citations
12.
Choi, Yoon‐Seok, et al.. (2014). Immersive Real-Acting Virtual Aquarium with Motion Tracking Sensors. International Journal of Distributed Sensor Networks. 10(5). 857189–857189. 1 indexed citations
13.
Choi, Yoon‐Seok, et al.. (2010). An intuitive system for 3D avatar with high-quality. 517–518. 2 indexed citations
14.
Choi, Yoon‐Seok, et al.. (2009). Image Set Optimization for Real-Time Video Photomosaics. International Conference on Human-Computer Interaction. 502–507.
15.
Choi, Yoon‐Seok, Jin‐Hee Ahn, S.-B. Kim, et al.. (2009). Tissue microarray-based study of patients with lymph node-negative breast cancer shows that HER2/neu overexpression is an important predictive marker of poor prognosis. Annals of Oncology. 20(8). 1337–1343. 18 indexed citations
16.
Heo, Hwon, et al.. (2008). Memory improvement in ibotenic acid induced model rats by extracts of Scutellaria baicalensis. Journal of Ethnopharmacology. 122(1). 20–27. 53 indexed citations
17.
Choi, Yoon‐Seok, et al.. (2007). Olfactory Evoked Potential for Objective Olfactory Function Evaluation. Korean Journal of Otorhinolaryngology-head and Neck Surgery. 50(8). 672–676. 1 indexed citations
18.
Kim, Kyung Tae, et al.. (2005). Management of Postoperative Mucocele of the Maxillary Sinus through Endoscopic Approach. Korean Journal of Otorhinolaryngology-head and Neck Surgery. 48(3). 314–319. 4 indexed citations
19.
Choi, Yoon‐Seok, et al.. (2004). Correlation of Bacterial Cultures between the Middle Meatus and the Maxillary Sinus in Chronic Sinusitis. Korean Journal of Otorhinolaryngology-head and Neck Surgery. 47(5). 444–447. 1 indexed citations
20.
Kim, Kyung Soo, Yoon‐Seok Choi, Hyun Jun Kim, & Joo‐Heon Yoon. (2003). The Risk of Olfactory Disturbance from Conchal Plate Injury during Ethmoidectomy. American Journal of Rhinology. 17(5). 307–310. 8 indexed citations

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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