Sun Choi

459 total citations
4 papers, 279 citations indexed

About

Sun Choi is a scholar working on Aerospace Engineering, Building and Construction and Safety, Risk, Reliability and Quality. According to data from OpenAlex, Sun Choi has authored 4 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Aerospace Engineering, 4 papers in Building and Construction and 2 papers in Safety, Risk, Reliability and Quality. Recurrent topics in Sun Choi's work include Air Traffic Management and Optimization (4 papers), Traffic Prediction and Management Techniques (4 papers) and Traffic and Road Safety (2 papers). Sun Choi is often cited by papers focused on Air Traffic Management and Optimization (4 papers), Traffic Prediction and Management Techniques (4 papers) and Traffic and Road Safety (2 papers). Sun Choi collaborates with scholars based in United States. Sun Choi's co-authors include Dimitri N. Mavris, Simon I. Briceño, Young Jin Kim and Young Jin Kim and has published in prestigious journals such as Journal of Air Transport Management.

In The Last Decade

Sun Choi

4 papers receiving 264 citations

Peers

Sun Choi
Alexander Klein United States
Kerry Malone Netherlands
Hanbong Lee United States
Aleksandar Bauranov United States
Richard Coppenbarger United States
Sun Choi
Citations per year, relative to Sun Choi Sun Choi (= 1×) peers Javier A. Pérez–Castán

Countries citing papers authored by Sun Choi

Since Specialization
Citations

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

Fields of papers citing papers by Sun Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sun Choi

This figure shows the co-authorship network connecting the top 25 collaborators of Sun Choi. A scholar is included among the top collaborators of Sun 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 Sun Choi. Sun Choi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

4 of 4 papers shown
1.
Choi, Sun & Young Jin Kim. (2021). Artificial neural network models for airport capacity prediction. Journal of Air Transport Management. 97. 102146–102146. 31 indexed citations
2.
Choi, Sun, Young Jin Kim, Simon I. Briceño, & Dimitri N. Mavris. (2017). Cost-sensitive prediction of airline delays using machine learning. 1–8. 15 indexed citations
3.
Choi, Sun, Young Jin Kim, Simon I. Briceño, & Dimitri N. Mavris. (2016). Prediction of weather-induced airline delays based on machine learning algorithms. 1–6. 109 indexed citations
4.
Kim, Young Jin, Sun Choi, Simon I. Briceño, & Dimitri N. Mavris. (2016). A deep learning approach to flight delay prediction. 1–6. 124 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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