Seong-Hu Kim
Impact in
- Signal Processing top 10%
- Music and Audio Processing
- Speech and Audio Processing
- Control and Systems Engineering top 10%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
Papers in
-
- Speech and Audio Processing 7
- Music and Audio Processing 6
-
- Speech Recognition and Synthesis 5
- Co-authors
- Yong‐Hwa Park (11 shared papers)Jaewoong Bae (1 shared paper)Sung-Hyun Yun (1 shared paper)Sangmin Choi (2 shared papers)Woo‐Suk Tae (1 shared paper)Ju-Ho Kim (2 shared papers)Hwa Seon Shin (2 shared papers)Ho Cheol Choi (1 shared paper)
- Journals
- IEEE Access (2 papers)Expert Systems with Applications (1 paper)Applied Sciences (1 paper)Data in Brief (1 paper)Interspeech 2022 (1 paper)
- Partner nations
- South Korea
In The Last Decade
Seong-Hu Kim
12 papers receiving 248 citations
Seong-Hu Kim's Hit Papers
Peers
Comparison fields: 5 of 52
- Signal Processing 114
- Control and Systems Engineering 97
- Developmental Biology 6
- Artificial Intelligence 81
- Computer Vision and Pattern Recognition 46
Countries citing papers authored by Seong-Hu Kim
This map shows the geographic impact of Seong-Hu 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 Seong-Hu Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Seong-Hu Kim more than expected).
Fields of papers citing papers by Seong-Hu Kim
This network shows the impact of papers produced by Seong-Hu 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 Seong-Hu Kim. The network helps show where Seong-Hu Kim may publish in the future.
Co-authors
The 13 scholars most cited alongside Seong-Hu 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 | Vibration, acoustic, temperature, and motor current dataset of rotating machine under varying operating conditions for fault diagnosis Hit paper breakdown → | 2023 | 102 |
| 2 | 2022 | 45 | |
| 3 | 2022 | 38 | |
| 4 | 2022 | 21 | |
| 5 | 2022 | 20 | |
| 6 | 2021 | 16 | |
| 7 | 2015 | 5 | |
| 8 | 2022 | 3 | |
| 9 | 2023 | 2 | |
| 10 | 2024 | 2 | |
| 11 | 2013 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2020 | 1 |
About Seong-Hu Kim
Seong-Hu Kim is a scholar working on Signal Processing, Artificial Intelligence, Mechanics of Materials, Control and Systems Engineering and Cognitive Neuroscience, having authored 13 papers that have together received 258 indexed citations. Recurring topics across this work include Speech and Audio Processing (7 papers), Music and Audio Processing (6 papers), Speech Recognition and Synthesis (5 papers), Engineering Diagnostics and Reliability (2 papers), Advanced MRI Techniques and Applications (2 papers), Machine Fault Diagnosis Techniques (2 papers), Gear and Bearing Dynamics Analysis (2 papers) and Functional Brain Connectivity Studies (2 papers). The work is most often cited by research in Signal Processing (114 citations), Control and Systems Engineering (97 citations), Developmental Biology (6 citations), Artificial Intelligence (81 citations) and Computer Vision and Pattern Recognition (46 citations). Seong-Hu Kim has collaborated with scholars based in South Korea. Frequent co-authors include Yong‐Hwa Park, Jaewoong Bae, Sung-Hyun Yun, Sangmin Choi, Woo‐Suk Tae, Ju-Ho Kim, Hwa Seon Shin, Ho Cheol Choi, Dae Seob Choi and Sam Soo Kim. Their work appears in journals such as IEEE Access, Expert Systems with Applications, Applied Sciences, Data in Brief and Interspeech 2022.
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.