Sae Won Choi

430 total citations
21 papers, 242 citations indexed

About

Sae Won Choi is a scholar working on Emergency Medicine, Surgery and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Sae Won Choi has authored 21 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Emergency Medicine, 4 papers in Surgery and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Sae Won Choi's work include Cardiac Arrest and Resuscitation (4 papers), Trauma and Emergency Care Studies (4 papers) and Emergency and Acute Care Studies (3 papers). Sae Won Choi is often cited by papers focused on Cardiac Arrest and Resuscitation (4 papers), Trauma and Emergency Care Studies (4 papers) and Emergency and Acute Care Studies (3 papers). Sae Won Choi collaborates with scholars based in South Korea, Ethiopia and United States. Sae Won Choi's co-authors include Taehoon Ko, Kyung Hwan Kim, Ki Jeong Hong, Ye Seul Bae, Sang Do Shin, Young Sun Ro, Kyoung Jun Song, Do Kyun Kim, Young Ho Kwak and Eui Jung Lee and has published in prestigious journals such as Scientific Reports, Journal of Medical Internet Research and Applied Sciences.

In The Last Decade

Sae Won Choi

18 papers receiving 237 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sae Won Choi South Korea 10 93 42 35 35 34 21 242
Richard P. Medlin United States 11 108 1.2× 48 1.1× 25 0.7× 84 2.4× 25 0.7× 27 282
Stephanie Cabral United States 6 164 1.8× 56 1.3× 23 0.7× 78 2.2× 24 0.7× 8 295
Simon Swift United Kingdom 6 102 1.1× 25 0.6× 17 0.5× 34 1.0× 20 0.6× 8 238
Franck Diaz‐Garelli United States 9 55 0.6× 29 0.7× 93 2.7× 39 1.1× 59 1.7× 19 273
Le Zheng China 8 27 0.3× 77 1.8× 33 0.9× 74 2.1× 48 1.4× 12 291
Rohit B. Sangal United States 11 61 0.7× 28 0.7× 15 0.4× 51 1.5× 20 0.6× 52 334
James Malycha Australia 8 86 0.9× 34 0.8× 30 0.9× 128 3.7× 17 0.5× 17 232
David Laplanche France 9 89 1.0× 38 0.9× 24 0.7× 38 1.1× 26 0.8× 26 242
Sarah Poole United States 8 35 0.4× 42 1.0× 38 1.1× 66 1.9× 21 0.6× 16 251
Eliezer Bose United States 11 31 0.3× 40 1.0× 42 1.2× 59 1.7× 30 0.9× 25 269

Countries citing papers authored by Sae Won Choi

Since Specialization
Citations

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

Fields of papers citing papers by Sae Won Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sae Won 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 Sae Won Choi. The network helps show where Sae Won Choi may publish in the future.

Co-authorship network of co-authors of Sae Won Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Sae Won Choi. A scholar is included among the top collaborators of Sae Won 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 Sae Won Choi. Sae Won 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.
2.
Choi, Young Ho, Ki Hong Kim, Dong Hyun Choi, et al.. (2024). Prediction of vasopressor needs in hypotensive emergency department patients using serial arterial blood pressure data with deep learning. Hong Kong Journal of Emergency Medicine. 31(5). 233–241.
3.
Choi, Dong Hyun, et al.. (2024). Using Large Language Models to Extract Core Injury Information From Emergency Department Notes. Journal of Korean Medical Science. 39(46). e291–e291. 5 indexed citations
4.
Kim, Hyunjin, et al.. (2024). Thermal imaging and deep learning-based fit-checking for respiratory protection. Scientific Reports. 14(1). 24407–24407.
5.
Choi, Jinwook, Eui Kyu Chie, Sae Won Choi, et al.. (2023). Current Status and Key Issues of Data Management in Tertiary Hospitals: A Case Study of Seoul National University Hospital. Healthcare Informatics Research. 29(3). 209–217. 3 indexed citations
6.
Oh, Gyu Chul, Taehoon Ko, Min Ho Lee, et al.. (2022). Estimation of low-density lipoprotein cholesterol levels using machine learning. International Journal of Cardiology. 352. 144–149. 17 indexed citations
7.
Yoo, Junsang, Jeong-Hoon Lee, Sae Won Choi, et al.. (2022). Development of an Interoperable and Easily Transferable Clinical Decision Support System Deployment Platform: System Design and Development Study. Journal of Medical Internet Research. 24(7). e37928–e37928. 9 indexed citations
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9.
Bae, Ye Seul, Kyung Hwan Kim, Sae Won Choi, et al.. (2020). Information Technology–Based Management of Clinically Healthy COVID-19 Patients: Lessons From a Living and Treatment Support Center Operated by Seoul National University Hospital. Journal of Medical Internet Research. 22(6). e19938–e19938. 39 indexed citations
10.
Choi, Sae Won, et al.. (2020). MARIE: A Context-Aware Term Mapping with String Matching and Embedding Vectors. Applied Sciences. 10(21). 7831–7831. 5 indexed citations
11.
Choi, Sae Won, Taehoon Ko, Ki Jeong Hong, & Kyung Hwan Kim. (2019). Machine Learning-Based Prediction of Korean Triage and Acuity Scale Level in Emergency Department Patients. Healthcare Informatics Research. 25(4). 305–305. 56 indexed citations
12.
Park, Jeong Ho, Sang Do Shin, Kyoung Jun Song, et al.. (2019). Prediction of good neurological recovery after out-of-hospital cardiac arrest: A machine learning analysis. Resuscitation. 142. 127–135. 24 indexed citations
13.
Lee, Su In, Kyung Hwan Kim, Hae‐Young Lee, et al.. (2019). Result and Effectiveness of Malicious E-mail Response Training in a Hospital. Studies in health technology and informatics. 264. 1957–1957. 3 indexed citations
14.
Kim, Yu Jin, Sang Do Shin, Joo Jeong, et al.. (2019). Low serum cholesterol level as a risk factor for out-of-hospital cardiac arrests: a case-control study. Resuscitation. 142. e20–e21. 1 indexed citations
15.
Kim, Ki Hong, Sang Do Shin, Kyoung Jun Song, et al.. (2018). Effect of Prothrombin Time Prolongation on Survival Outcome in Out-of-hospital Cardiac Arrest: A Multicenter Observational Study. Journal of the Korean society of emergency medicine. 29(1). 66–75. 1 indexed citations
16.
Lee, Heesun, Jun‐Bean Park, Sae Won Choi, et al.. (2017). Impact of a Telehealth Program With Voice Recognition Technology in Patients With Chronic Heart Failure: Feasibility Study. JMIR mhealth and uhealth. 5(10). e127–e127. 16 indexed citations
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Kim, Do Kyun, Sae Won Choi, & Young Ho Kwak. (2012). The effect of SonoPrep® on EMLA® cream application for pain relief prior to intravenous cannulation. European Journal of Pediatrics. 171(6). 985–988. 17 indexed citations
20.
Choi, Sae Won, et al.. (2010). Ingested Gastrointestinal Foreign Body in Children: Retrospective Review in a Pediatric Emergency Department. Journal of the Korean society of emergency medicine. 21(1). 88–93.

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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