Sangwon Hwang
Impact in
- Metals and Alloys top 10%
- Hydrogen embrittlement and corrosion behaviors in metals
- Mechanical Engineering top 10%
- Microstructure and Mechanical Properties of Steels
- High Entropy Alloys Studies
Papers in
-
- Advanced Vision and Imaging 4
- Augmented Reality Applications 3
- Optical measurement and interference techniques 2
- Image Enhancement Techniques 2
-
- Robotics and Sensor-Based Localization 5
- Co-authors
- Sangyoun Lee (8 shared papers)Dogyoon Lee (2 shared papers)Minhyeok Lee (1 shared paper)Chaewon Park (1 shared paper)Seungwoo Kang (2 shared papers)Jisun Lee (2 shared papers)Ju-Hwan Lee (1 shared paper)MyeongAh Cho (1 shared paper)
- Journals
- IEEE Transactions on Intelligent Transportation Systems (3 papers)IEEE Access (3 papers)Thermochimica Acta (2 papers)Metallurgical and Materials Transactions A (1 paper)Applied Sciences (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Sangwon Hwang
14 papers receiving 341 citations
Peers
Comparison fields: 5 of 59
- Metals and Alloys 30
- Mechanical Engineering 199
- Computer Vision and Pattern Recognition 93
- Media Technology 32
- Geology 19
Countries citing papers authored by Sangwon Hwang
This map shows the geographic impact of Sangwon Hwang'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 Sangwon Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangwon Hwang more than expected).
Fields of papers citing papers by Sangwon Hwang
This network shows the impact of papers produced by Sangwon Hwang. 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 Sangwon Hwang. The network helps show where Sangwon Hwang may publish in the future.
Co-authors
The 12 scholars most cited alongside Sangwon Hwang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 178 | |
| 2 | 2017 | 48 | |
| 3 | 1992 | 27 | |
| 4 | 2023 | 26 | |
| 5 | 2021 | 17 | |
| 6 | 2022 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2020 | 9 | |
| 9 | 1993 | 7 | |
| 10 | 2021 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2013 | 2 | |
| 13 | 2021 | 2 | |
| 14 | 2022 | 2 | |
| 15 | 2005 | 1 | |
| 16 | 2020 | 0 |
About Sangwon Hwang
Sangwon Hwang is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Environmental Engineering, Mechanical Engineering and Geology, having authored 16 papers that have together received 355 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Advanced Vision and Imaging (4 papers), Remote Sensing and LiDAR Applications (3 papers), Augmented Reality Applications (3 papers), 3D Surveying and Cultural Heritage (3 papers), Microstructure and Mechanical Properties of Steels (2 papers), Optical measurement and interference techniques (2 papers) and Image Enhancement Techniques (2 papers). The work is most often cited by research in Metals and Alloys (30 citations), Mechanical Engineering (199 citations), Computer Vision and Pattern Recognition (93 citations), Media Technology (32 citations) and Geology (19 citations). Sangwon Hwang has collaborated with scholars based in South Korea and United States. Frequent co-authors include Sangyoun Lee, Dogyoon Lee, Minhyeok Lee, Chaewon Park, Seungwoo Kang, Jisun Lee, Ju-Hwan Lee, MyeongAh Cho, Yuseok Ban and Sangheon Park. Their work appears in journals such as IEEE Transactions on Intelligent Transportation Systems, IEEE Access, Thermochimica Acta, Metallurgical and Materials Transactions A and Applied Sciences.
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.