Hui Bu
Impact in
- Signal Processing top 1%
- Speech and Audio Processing
- Music and Audio Processing
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis
- Natural Language Processing Techniques
- Topic Modeling
Papers in
-
- Speech Recognition and Synthesis 16
- Speech and dialogue systems 3
- Finance 13
- Financial Markets and Investment Strategies 10
- Co-authors
- Xingyu Na (1 shared paper)Hao Zheng (1 shared paper)Junjie Wu (7 shared papers)Jiahong Li (1 shared paper)Shaoji Zhang (1 shared paper)Ming Li (1 shared paper)Xin Xu (5 shared papers)Xiaoyi Qin (3 shared papers)
- Journals
- Finance research letters (2 papers)Water (1 paper)Medicine (1 paper)Economic Modelling (1 paper)Pacific-Basin Finance Journal (1 paper)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Hui Bu
45 papers receiving 1.2k citations
Hui Bu's Hit Papers
Peers
Comparison fields: 5 of 106
- Signal Processing 593
- Artificial Intelligence 804
- Management Science and Operations Research 187
- Finance 109
- Economics and Econometrics 181
Countries citing papers authored by Hui Bu
This map shows the geographic impact of Hui Bu'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 Hui Bu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Bu more than expected).
Fields of papers citing papers by Hui Bu
This network shows the impact of papers produced by Hui Bu. 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 Hui Bu. The network helps show where Hui Bu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui Bu, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | AISHELL-1: An open-source Mandarin speech corpus and a speech recognition baseline Hit paper breakdown → | 2017 | 477 |
| 2 | 2020 | 95 | |
| 3 | 2021 | 93 | |
| 4 | 2022 | 87 | |
| 5 | 2017 | 83 | |
| 6 | 2022 | 55 | |
| 7 | 2014 | 47 | |
| 8 | 2020 | 38 | |
| 9 | 2019 | 27 | |
| 10 | 2022 | 22 | |
| 11 | 2014 | 22 | |
| 12 | 2021 | 22 | |
| 13 | 2022 | 21 | |
| 14 | 2020 | 21 | |
| 15 | 2024 | 19 | |
| 16 | 2015 | 17 | |
| 17 | 2018 | 12 | |
| 18 | 2020 | 11 | |
| 19 | 2023 | 11 | |
| 20 | 2011 | 11 |
About Hui Bu
Hui Bu is a scholar working on Artificial Intelligence, Finance, Signal Processing, Economics and Econometrics and Management Science and Operations Research, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (11 papers), Financial Markets and Investment Strategies (10 papers), Music and Audio Processing (9 papers), Stock Market Forecasting Methods (7 papers), Market Dynamics and Volatility (7 papers), Phonetics and Phonology Research (3 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Signal Processing (593 citations), Artificial Intelligence (804 citations), Management Science and Operations Research (187 citations), Finance (109 citations) and Economics and Econometrics (181 citations). Hui Bu has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Xingyu Na, Hao Zheng, Junjie Wu, Jiahong Li, Jiahong Li, Shaoji Zhang, Ming Li, Xin Xu, Xiaoyi Qin and Xin Xu. Their work appears in journals such as Finance research letters, Water, Medicine, Economic Modelling and Pacific-Basin Finance Journal.
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.