Dae Hee Won

584 citations
39 papers · 486 · h-index 13

Impact in

Papers in

Dae Hee Won

36 papers receiving 461 citations

Peers

Dae Hee Won
Comparison fields: 5 of 62
  • Aerospace Engineering 315
  • Environmental Engineering 65
  • Oceanography 39
  • Geology 18
  • Computer Vision and Pattern Recognition 66
Replace Hanshan Li with:
Hanshan Li China
Ke Zhang China
Zhenyu Wu Singapore
Xudong He China
Yue Guo China
Paul Murcutt United Kingdom
Ahmed Aziz Ezzat United States
Young-Sik Shin South Korea
Andy Tan Malaysia
Dae Hee Won relative to Hanshan Li China Hanshan Li's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dae Hee Won

Since Specialization
Citations

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

Fields of papers citing papers by Dae Hee Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dae Hee Won, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dae Hee Won Line = papers co-authored together Dae Hee Won links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201449
2 201249
3 200545
4 201344
5 201433
6 201428
7 201527
8 201027
9 201619
10 201519
11 200318
12 201614
13 200813
14
Particle Filtering Approach To Fault Detection and Isolation for GPS Integrity Monitoring
200611
15 201110
16 201510
17 20188
18 20127
19
Development of A Wearable Input Device Recognizing Human Hand and Finger Motions as A New Mobile Input Device
20016
20 20076

About Dae Hee Won

Dae Hee Won is a scholar working on Aerospace Engineering, Artificial Intelligence, Electrical and Electronic Engineering, Control and Systems Engineering and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 486 indexed citations. Recurring topics across this work include GNSS positioning and interference (13 papers), Robotics and Sensor-Based Localization (13 papers), Inertial Sensor and Navigation (12 papers), Target Tracking and Data Fusion in Sensor Networks (7 papers), Indoor and Outdoor Localization Technologies (6 papers), Robotic Path Planning Algorithms (4 papers), Soil Moisture and Remote Sensing (3 papers) and Fault Detection and Control Systems (3 papers). The work is most often cited by research in Aerospace Engineering (315 citations), Environmental Engineering (65 citations), Oceanography (39 citations), Geology (18 citations) and Computer Vision and Pattern Recognition (66 citations). Dae Hee Won has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Sangkyung Sung, Young Jae Lee, Moon-Beom Heo, Dennis Akos, Jiyun Lee, Eunsung Lee, Seung‐Woo Lee, SangJoo Kwon, Min-Sung Kang and Tae‐Sung Bae. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, GPS Solutions, Metals and Materials International, Applied Surface Science and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

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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