Yu‐Hsien Chiu
- Artificial Intelligence top 10%
- Human-Computer Interaction top 5%
- Signal Processing top 10%
- Computer Vision and Pattern Recognition
- Developmental and Educational Psychology
- Co-authors
- Chung‐Hsien WuChunyu LinHung‐Yi ChuangWen‐Hsien HoHao-Yun KaoI‐Chen LeeRichard W. MooreChiehwen Ed Hsu
- Topics
- Speech Recognition and Synthesis (6 papers)Speech and Audio Processing (5 papers)Natural Language Processing Techniques (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- TaiwanUnited StatesSlovenia
In The Last Decade
Yu‐Hsien Chiu
27 papers receiving 332 citations
Peers
Comparison fields: 5 of 99
- Artificial Intelligence 108
- Human-Computer Interaction 59
- Signal Processing 46
- Computer Vision and Pattern Recognition 43
- Developmental and Educational Psychology 41
Countries citing papers authored by Yu‐Hsien Chiu
This map shows the geographic impact of Yu‐Hsien Chiu'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 Yu‐Hsien Chiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Hsien Chiu more than expected).
Fields of papers citing papers by Yu‐Hsien Chiu
This network shows the impact of papers produced by Yu‐Hsien Chiu. 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 Yu‐Hsien Chiu. The network helps show where Yu‐Hsien Chiu may publish in the future.
Co-authorship network of co-authors of Yu‐Hsien Chiu
This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Hsien Chiu. A scholar is included among the top collaborators of Yu‐Hsien Chiu 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 Yu‐Hsien Chiu. Yu‐Hsien Chiu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 7 | |
| 3 | 8 | |
| 4 | 11 | |
| 5 | 3 | |
| 6 | 5 | |
| 7 | 0 | |
| 8 | 22 | |
| 9 | 14 | |
| 10 | 19 | |
| 11 | 10 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 30 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | 37 | |
| 20 | 7 |
About Yu‐Hsien Chiu
Yu‐Hsien Chiu is a scholar working on Issues, ethics and legal aspects, Human-Computer Interaction and Signal Processing, having authored 30 papers that have together received 349 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (6 papers), Speech and Audio Processing (5 papers) and Natural Language Processing Techniques (4 papers). The work is most often cited by research in Human-Computer Interaction (59 citations), Signal Processing (46 citations) and Occupational Therapy (17 citations). Yu‐Hsien Chiu has collaborated with scholars based in Taiwan, United States and Slovenia. Frequent co-authors include Chung‐Hsien Wu, Chunyu Lin, Hung‐Yi Chuang, Wen‐Hsien Ho, Hao-Yun Kao, I‐Chen Lee, Richard W. Moore, Chiehwen Ed Hsu, Chia‐Hung Lin and Yeou‐Jiunn Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.