Minhwa Chung
- Artificial Intelligence top 10%
- Physiology
- Experimental and Cognitive Psychology top 10%
- Signal Processing top 10%
- Speech and Hearing
- Co-authors
- Sun‐Hee KimSeung Hee YangSun Hee KimBong‐Wan KimDan MoldovanDong H. AhnSunhee KimKwanghee Choi
- Topics
- Speech Recognition and Synthesis (38 papers)Phonetics and Phonology Research (26 papers)Voice and Speech Disorders (17 papers)
- Partner nations
- South KoreaUnited States
In The Last Decade
Minhwa Chung
46 papers receiving 212 citations
Peers
Comparison fields: 5 of 34
- Artificial Intelligence 199
- Physiology 101
- Experimental and Cognitive Psychology 98
- Signal Processing 92
- Speech and Hearing 13
Countries citing papers authored by Minhwa Chung
This map shows the geographic impact of Minhwa Chung'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 Minhwa Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minhwa Chung more than expected).
Fields of papers citing papers by Minhwa Chung
This network shows the impact of papers produced by Minhwa Chung. 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 Minhwa Chung. The network helps show where Minhwa Chung may publish in the future.
Co-authorship network of co-authors of Minhwa Chung
This figure shows the co-authorship network connecting the top 25 collaborators of Minhwa Chung. A scholar is included among the top collaborators of Minhwa Chung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Minhwa Chung. Minhwa Chung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | Dysarthric Speech Database for Development of QoLT Software Technology | 7 |
| 14 | 3 | |
| 15 | 7 | |
| 16 | Morpheme-Based Modeling of Pronunciation Variation for Large Vocabulary Continuous Speech Recognition in Korean(Speech and Hearing) | 1 |
| 17 | One-Pass Semi-Dynamic Network Decoding Using a Subnetwork Caching Model for Large Vocabulary Continuous Speech Recongnition | 6 |
| 18 | 6 | |
| 19 | 4 | |
| 20 | 3 |
About Minhwa Chung
Minhwa Chung is a scholar working on Experimental and Cognitive Psychology, Signal Processing and Artificial Intelligence, having authored 60 papers that have together received 246 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (38 papers), Phonetics and Phonology Research (26 papers) and Voice and Speech Disorders (17 papers). The work is most often cited by research in Signal Processing (92 citations), Experimental and Cognitive Psychology (98 citations) and Artificial Intelligence (199 citations). Minhwa Chung has collaborated with scholars based in South Korea and United States. Frequent co-authors include Sun‐Hee Kim, Seung Hee Yang, Sun Hee Kim, Bong‐Wan Kim, Dan Moldovan, Dong H. Ahn, Sunhee Kim, Kwanghee Choi, Sun-Hee Kim and Yunhee Jang. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, Applied Sciences and Journal of Phonetics.
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.