L. Wang
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
-
- Tryptophan and brain disorders
Papers in
-
- Speech Recognition and Synthesis 10
- Natural Language Processing Techniques 4
-
- Music and Audio Processing 7
- Speech and Audio Processing 6
- Co-authors
- Philip C. Woodland (10 shared papers)Mark Gales (8 shared papers)Rupesh Kumar (2 shared papers)Xiaobing Liu (5 shared papers)Pierre Lanchantin (5 shared papers)Thomas Hain (2 shared papers)G. Evermann (2 shared papers)Yanmin Qian (4 shared papers)
- Journals
- Journal of Plant Research (1 paper)Journal of Proteome Research (1 paper)Materials Research Bulletin (1 paper)Journal of Materials Science (1 paper)Current Medicinal Chemistry (1 paper)
- Partner nations
- United KingdomChinaSouth Korea
In The Last Decade
L. Wang
19 papers receiving 304 citations
Peers
Comparison fields: 5 of 79
- Signal Processing 140
- Biological Psychiatry 23
- Theoretical Computer Science 8
- Artificial Intelligence 181
- Bioengineering 25
Countries citing papers authored by L. Wang
This map shows the geographic impact of L. Wang'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 L. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Wang more than expected).
Fields of papers citing papers by L. Wang
This network shows the impact of papers produced by L. Wang. 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 L. Wang. The network helps show where L. Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside L. Wang, 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 | 2009 | 61 | |
| 2 | 2004 | 35 | |
| 3 | 2007 | 28 | |
| 4 | 2004 | 24 | |
| 5 | 2015 | 22 | |
| 6 | 2004 | 22 | |
| 7 | 2005 | 20 | |
| 8 | 2008 | 19 | |
| 9 | 2003 | 14 | |
| 10 | 1954 | 13 | |
| 11 | 2015 | 13 | |
| 12 | 2016 | 13 | |
| 13 | 2015 | 11 | |
| 14 | 2016 | 11 | |
| 15 | 2005 | 8 | |
| 16 | 2011 | 5 | |
| 17 | 2025 | 3 | |
| 18 | 2021 | 2 | |
| 19 | 2007 | 2 |
About L. Wang
L. Wang is a scholar working on Artificial Intelligence, Signal Processing, Molecular Biology, Computer Vision and Pattern Recognition and Bioengineering, having authored 19 papers that have together received 326 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (10 papers), Music and Audio Processing (7 papers), Speech and Audio Processing (6 papers), Natural Language Processing Techniques (4 papers), Gas Sensing Nanomaterials and Sensors (3 papers), Analytical Chemistry and Sensors (3 papers), Advanced Data Compression Techniques (2 papers) and Advanced Proteomics Techniques and Applications (2 papers). The work is most often cited by research in Signal Processing (140 citations), Biological Psychiatry (23 citations), Theoretical Computer Science (8 citations), Artificial Intelligence (181 citations) and Bioengineering (25 citations). L. Wang has collaborated with scholars based in United Kingdom, China and South Korea. Frequent co-authors include Philip C. Woodland, Mark Gales, Rupesh Kumar, Xiaobing Liu, Pierre Lanchantin, Thomas Hain, G. Evermann, Yanmin Qian, C. Zhang and Laura W. Harris. Their work appears in journals such as Journal of Plant Research, Journal of Proteome Research, Materials Research Bulletin, Journal of Materials Science and Current Medicinal Chemistry.
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.