Hyoung-Min Park
- Artificial Intelligence top 10%
- Speech Recognition and Synthesis 3
- Algorithms and Data Compression 3
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- Advanced Database Systems and Queries 2
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- HVDC Systems and Fault Protection 3
- High-Voltage Power Transmission Systems 3
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- Gene expression and cancer classification 3
- Molecular Biology Techniques and Applications 2
- Epigenetics and DNA Methylation 2
- Co-authors
- Kyuseok ShimJe‐Yoel ChoKang-Hoon LeeSudipto GuhaByung‐Gyu KimHyo-Sang ChoiDongwook KimPirros Tsiakoulis
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Scientific Reports (2 papers)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- South KoreaUnited States
In The Last Decade
Hyoung-Min Park
21 papers receiving 227 citations
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 142
- Signal Processing 27
- Hardware and Architecture 13
- Computer Networks and Communications 36
- Sociology and Political Science 52
Countries citing papers authored by Hyoung-Min Park
This map shows the geographic impact of Hyoung-Min Park'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 Hyoung-Min Park with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyoung-Min Park more than expected).
Fields of papers citing papers by Hyoung-Min Park
This network shows the impact of papers produced by Hyoung-Min Park. 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 Hyoung-Min Park. The network helps show where Hyoung-Min Park may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Hyoung-Min Park, 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 | 2024 | 1 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 4 | |
| 6 | 2021 | 7 | |
| 7 | 2020 | 5 | |
| 8 | 2020 | 17 | |
| 9 | 2018 | 25 | |
| 10 | 2016 | 9 | |
| 11 | 2016 | 3 | |
| 12 | 2013 | 2 | |
| 13 | A breast tumor classification method based on ultrasound BI-RADS data mining | 2012 | 1 |
| 14 | 2010 | 5 | |
| 15 | 2009 | 9 | |
| 16 | 2009 | 1 | |
| 17 | 2009 | 25 | |
| 18 | Characteristics of Transformer-Type SFCL according to the Connecting Methods of Secondary Coils | 2007 | 1 |
| 19 | 2007 | 81 | |
| 20 | 2007 | 11 |
About Hyoung-Min Park
Hyoung-Min Park is a scholar working on Signal Processing, Artificial Intelligence and Otorhinolaryngology, having authored 24 papers that have together received 248 indexed citations. Recurring topics across this work include HVDC Systems and Fault Protection (3 papers), High-Voltage Power Transmission Systems (3 papers), Speech Recognition and Synthesis (3 papers), Algorithms and Data Compression (3 papers), Gene expression and cancer classification (3 papers), Molecular Biology Techniques and Applications (2 papers), Advanced Database Systems and Queries (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Artificial Intelligence (142 citations), Signal Processing (27 citations) and Hardware and Architecture (13 citations). Hyoung-Min Park has collaborated with scholars based in South Korea and United States. Frequent co-authors include Kyuseok Shim, Je‐Yoel Cho, Kang-Hoon Lee, Sudipto Guha, Byung‐Gyu Kim, Hyo-Sang Choi, Dongwook Kim, Pirros Tsiakoulis, Younghoon Kim and Ju‐Hyoung Lee. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Biochemical and Biophysical Research Communications.
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.