Hao Huang
Impact in
- Signal Processing top 5%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 5%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
Papers in
-
- Speech Recognition and Synthesis 35
- Topic Modeling 15
- Natural Language Processing Techniques 12
- Speech and dialogue systems 9
-
- Speech and Audio Processing 30
- Music and Audio Processing 25
- Co-authors
- Haihua Xu (9 shared papers)Wushour Silamu (3 shared papers)Ying Hu (17 shared papers)Peng Jin (6 shared papers)Weiqi Gao (1 shared paper)Shaoli Liu (6 shared papers)Jie Zhu (5 shared papers)Yantao Ma (2 shared papers)
- Journals
- Symmetry (3 papers)IEEE Signal Processing Letters (2 papers)Measurement (2 papers)Journal of Intelligent & Fuzzy Systems (2 papers)The Journal of the Acoustical Society of America (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Hao Huang
78 papers receiving 550 citations
Peers
Comparison fields: 5 of 100
- Signal Processing 139
- Artificial Intelligence 228
- Computer Vision and Pattern Recognition 123
- Geology 17
- Media Technology 26
Countries citing papers authored by Hao Huang
This map shows the geographic impact of Hao Huang'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 Hao Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Huang more than expected).
Fields of papers citing papers by Hao Huang
This network shows the impact of papers produced by Hao Huang. 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 Hao Huang. The network helps show where Hao Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 93 | |
| 2 | 2023 | 41 | |
| 3 | 2021 | 27 | |
| 4 | 2021 | 24 | |
| 5 | 2009 | 24 | |
| 6 | 2023 | 22 | |
| 7 | 2004 | 21 | |
| 8 | 2022 | 19 | |
| 9 | 2017 | 16 | |
| 10 | 2020 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2021 | 14 | |
| 13 | 2008 | 14 | |
| 14 | 2023 | 13 | |
| 15 | 2019 | 11 | |
| 16 | 2022 | 10 | |
| 17 | 2012 | 10 | |
| 18 | 2023 | 10 | |
| 19 | 2020 | 9 | |
| 20 | 2020 | 9 |
About Hao Huang
Hao Huang is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Information Systems and Transportation, having authored 89 papers that have together received 577 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (35 papers), Speech and Audio Processing (30 papers), Music and Audio Processing (25 papers), Topic Modeling (15 papers), Natural Language Processing Techniques (12 papers), Speech and dialogue systems (9 papers), Optical measurement and interference techniques (5 papers) and Transportation Planning and Optimization (4 papers). The work is most often cited by research in Signal Processing (139 citations), Artificial Intelligence (228 citations), Computer Vision and Pattern Recognition (123 citations), Geology (17 citations) and Media Technology (26 citations). Hao Huang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Haihua Xu, Wushour Silamu, Ying Hu, Peng Jin, Weiqi Gao, Shaoli Liu, Jie Zhu, Yantao Ma, Huaiwei Sun and Jie Xue. Their work appears in journals such as Symmetry, IEEE Signal Processing Letters, Measurement, Journal of Intelligent & Fuzzy Systems and The Journal of the Acoustical Society of America.
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.