Won‐Sang Ra

522 total citations
61 papers, 369 citations indexed

About

Won‐Sang Ra is a scholar working on Artificial Intelligence, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Won‐Sang Ra has authored 61 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Artificial Intelligence, 36 papers in Aerospace Engineering and 19 papers in Control and Systems Engineering. Recurrent topics in Won‐Sang Ra's work include Target Tracking and Data Fusion in Sensor Networks (39 papers), Guidance and Control Systems (20 papers) and Indoor and Outdoor Localization Technologies (10 papers). Won‐Sang Ra is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (39 papers), Guidance and Control Systems (20 papers) and Indoor and Outdoor Localization Technologies (10 papers). Won‐Sang Ra collaborates with scholars based in South Korea, United Kingdom and United States. Won‐Sang Ra's co-authors include Jin Bae Park, J.B. Park, Soyoung Park, Tae Sung Yoon, Seul Ki Han, Jin Bae Park, Hyejin Lee, Yongkyu Song, Hye-Jin Lee and Hyo‐Sang Shin and has published in prestigious journals such as IEEE Transactions on Industrial Electronics, IEEE Access and IEEE Transactions on Aerospace and Electronic Systems.

In The Last Decade

Won‐Sang Ra

51 papers receiving 341 citations

Peers

Won‐Sang Ra
Comparison fields: 5 of 41
  • Aerospace Engineering 161
  • Electrical and Electronic Engineering 127
  • Artificial Intelligence 123
  • Control and Systems Engineering 112
  • Computer Networks and Communications 53
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Citations per field, relative to Won‐Sang Ra
Won‐Sang Ra · 1×
Citations per year, relative to Won‐Sang Ra
Won‐Sang Ra · 1×

Countries citing papers authored by Won‐Sang Ra

Since Specialization
Citations

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

Fields of papers citing papers by Won‐Sang Ra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won‐Sang Ra. 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 Won‐Sang Ra. The network helps show where Won‐Sang Ra may publish in the future.

Co-authorship network of co-authors of Won‐Sang Ra

This figure shows the co-authorship network connecting the top 25 collaborators of Won‐Sang Ra. A scholar is included among the top collaborators of Won‐Sang Ra 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 Won‐Sang Ra. Won‐Sang Ra 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
# Work Indexed citations
1 0
2 1
3 0
4 1
5 4
6 0
7 5
8 12
9 9
10 37
11 2
12
Constrained robust Kalman filtering for passive source localization
2
13 2
14 6
15 14
16 1
17 17
18
Practical Pinch Torque Detection Algorithm for Anti-Pinch Window Control System Application
6
19
A Modified Weighted Least Squares Range Estimator for ASM (Anti-Ship Missile) Application
4
20 14

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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