Sung‐Wan Kim
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- Structural Health Monitoring Techniques 24
- Seismic Performance and Analysis 16
- Structural Response to Dynamic Loads 15
- Geotechnical Engineering and Underground Structures 12
- Infrastructure Maintenance and Monitoring 11
- Fire effects on concrete materials 11
- Structural Engineering and Vibration Analysis 6
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- Optical measurement and interference techniques 12
- Geology top 10%
- Mechanical Engineering top 10%
- Cited by
- Civil and Structural EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
- Partner nations
- South KoreaUnited StatesTürkiye
In The Last Decade
Sung‐Wan Kim
57 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 62
- Civil and Structural Engineering 563
- Control and Systems Engineering 363
- Computer Vision and Pattern Recognition 198
- Geology 44
- Mechanical Engineering 180
Countries citing papers authored by Sung‐Wan Kim
This map shows the geographic impact of Sung‐Wan Kim'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 Sung‐Wan Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sung‐Wan Kim more than expected).
Fields of papers citing papers by Sung‐Wan Kim
This network shows the impact of papers produced by Sung‐Wan Kim. 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 Sung‐Wan Kim. The network helps show where Sung‐Wan Kim may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sung‐Wan Kim, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 3 | |
| 8 | 2022 | 1 | |
| 9 | 2021 | 3 | |
| 10 | 2021 | 1 | |
| 11 | 2021 | 1 | |
| 12 | 2020 | 9 | |
| 13 | 2020 | 1 | |
| 14 | 2020 | 2 | |
| 15 | Cable Tension Measurement of Long-span Bridges Using Vision-based System | 2018 | 1 |
| 16 | 2018 | 36 | |
| 17 | 2017 | 37 | |
| 18 | 2016 | 30 | |
| 19 | Verification of Multi-point Displacement Response Measurement Algorithm Using Image Processing Technique | 2010 | 6 |
| 20 | 1998 | 24 |
About Sung‐Wan Kim
Sung‐Wan Kim is a scholar working on Civil and Structural Engineering, Computer Vision and Pattern Recognition and Statistics, Probability and Uncertainty, having authored 68 papers that have together received 1.1k indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (24 papers), Seismic Performance and Analysis (16 papers), Structural Response to Dynamic Loads (15 papers), Geotechnical Engineering and Underground Structures (12 papers), Optical measurement and interference techniques (12 papers), Infrastructure Maintenance and Monitoring (11 papers), Fire effects on concrete materials (11 papers) and Structural Engineering and Vibration Analysis (6 papers). The work is most often cited by research in Civil and Structural Engineering (563 citations), Control and Systems Engineering (363 citations) and Computer Vision and Pattern Recognition (198 citations). Sung‐Wan Kim has collaborated with scholars based in South Korea, United States and Türkiye. Frequent co-authors include Bub-Gyu Jeon, Nam-Sik Kim, Fen Wu, Bei Lu, Daegi Hahm, Min‐Kyu Kim, Min‐Kyu Kim, Jin-Soo Kim, Dae-Joong Kim and Sungsu Lee.
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.