Jeih-weih Hung
- Signal Processing top 1%
- Artificial Intelligence top 5%
- Computational Mechanics top 10%
- Computer Vision and Pattern Recognition top 10%
- Cognitive Neuroscience
- Co-authors
- Lin-shan LeeJia-Lin ShenYu TsaoSyu‐Siang WangXugang LuHsin‐Min WangKuo-Hsuan HungCheng Yu
- Topics
- Speech and Audio Processing (81 papers)Speech Recognition and Synthesis (70 papers)Music and Audio Processing (43 papers)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Jeih-weih Hung
67 papers receiving 513 citations
Peers
Comparison fields: 5 of 58
- Signal Processing 464
- Artificial Intelligence 361
- Computational Mechanics 106
- Computer Vision and Pattern Recognition 76
- Cognitive Neuroscience 35
Countries citing papers authored by Jeih-weih Hung
This map shows the geographic impact of Jeih-weih Hung'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 Jeih-weih Hung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jeih-weih Hung more than expected).
Fields of papers citing papers by Jeih-weih Hung
This network shows the impact of papers produced by Jeih-weih Hung. 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 Jeih-weih Hung. The network helps show where Jeih-weih Hung may publish in the future.
Co-authorship network of co-authors of Jeih-weih Hung
This figure shows the co-authorship network connecting the top 25 collaborators of Jeih-weih Hung. A scholar is included among the top collaborators of Jeih-weih Hung 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 Jeih-weih Hung. Jeih-weih Hung 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 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | Multi-view Attention-based Speech Enhancement Model for Noise-robust Automatic Speech Recognition | 1 |
| 13 | 30 | |
| 14 | 3 | |
| 15 | Probabilistic modulation spectrum factorization for robust speech recognition | 0 |
| 16 | 2 | |
| 17 | 1 | |
| 18 | Comparative Analysis for Data-Driven Temporal Filters Obtained via Principal Component Analysis | 1 |
| 19 | 9 | |
| 20 | 141 |
About Jeih-weih Hung
Jeih-weih Hung is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 88 papers that have together received 556 indexed citations. Recurring topics across this work include Speech and Audio Processing (81 papers), Speech Recognition and Synthesis (70 papers) and Music and Audio Processing (43 papers). The work is most often cited by research in Signal Processing (464 citations), Artificial Intelligence (361 citations) and Computational Mechanics (106 citations). Jeih-weih Hung has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Lin-shan Lee, Jia-Lin Shen, Yu Tsao, Syu‐Siang Wang, Xugang Lu, Hsin‐Min Wang, Kuo-Hsuan Hung, Cheng Yu, Borching Su and Jung-Shan Lin. Their work appears in journals such as Journal of Materials Chemistry C, Signal Processing and Applied Sciences.
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.