A. Lee
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Blind Source Separation Techniques
- Music and Audio Processing
- Computational Mechanics top 10%
- Advanced Adaptive Filtering Techniques
Papers in
-
- Speech Recognition and Synthesis 5
- Speech and dialogue systems 2
- Natural Language Processing Techniques 1
- AI in Service Interactions 1
- Topic Modeling 1
-
- Speech and Audio Processing 5
- Blind Source Separation Techniques 2
- Music and Audio Processing 2
- Co-authors
- Kiyohiro Shikano (7 shared papers)Hiroshi Saruwatari (5 shared papers)Tsuyoki Nishikawa (2 shared papers)Tatsuyuki Kawamura (1 shared paper)Tatsuya Kawahara (2 shared papers)Ryuichi Nisimura (2 shared papers)Panikos Heracleous (1 shared paper)Takashi Uchida (1 shared paper)
- Journals
- IEEE Transactions on Audio Speech and Language Processing (1 paper)Institutional Repositories DataBase (IRDB) (6 papers)
- Partner nations
- Japan
In The Last Decade
A. Lee
7 papers receiving 257 citations
Peers
Comparison fields: 5 of 36
- Signal Processing 214
- Computational Mechanics 104
- Artificial Intelligence 139
- Computational Mathematics 2
- Computer Vision and Pattern Recognition 22
Countries citing papers authored by A. Lee
This map shows the geographic impact of A. Lee'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 A. Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Lee more than expected).
Fields of papers citing papers by A. Lee
This network shows the impact of papers produced by A. Lee. 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 A. Lee. The network helps show where A. Lee may publish in the future.
Co-authors
The 10 scholars most cited alongside A. Lee, 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 | 2006 | 132 | |
| 2 | 2004 | 49 | |
| 3 | 2002 | 27 | |
| 4 | 2003 | 26 | |
| 5 | 2004 | 24 | |
| 6 | 2004 | 21 | |
| 7 | 2005 | 6 |
About A. Lee
A. Lee is a scholar working on Artificial Intelligence, Signal Processing, Control and Systems Engineering, Computational Mechanics and Infectious Diseases, having authored 7 papers that have together received 285 indexed citations. Recurring topics across this work include Speech and Audio Processing (5 papers), Speech Recognition and Synthesis (5 papers), Speech and dialogue systems (2 papers), Blind Source Separation Techniques (2 papers), Music and Audio Processing (2 papers), Natural Language Processing Techniques (1 paper), AI in Service Interactions (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Signal Processing (214 citations), Computational Mechanics (104 citations), Artificial Intelligence (139 citations), Computational Mathematics (2 citations) and Computer Vision and Pattern Recognition (22 citations). A. Lee has collaborated with scholars based in Japan. Frequent co-authors include Kiyohiro Shikano, Hiroshi Saruwatari, Tsuyoki Nishikawa, Tatsuyuki Kawamura, Tatsuya Kawahara, Ryuichi Nisimura, Panikos Heracleous, Takashi Uchida, Yoshio Matsumoto and Y. Nakajima. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing and Institutional Repositories DataBase (IRDB).
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.