Hui Bu

2.3k citations
47 papers · 1.1k · 1 hit paper · h-index 16

Impact in

Papers in

Hui Bu

41 papers receiving 1.1k citations

Hui Bu's Hit Papers

AISHELL-1: An open-source Mandarin speech corpus and a speech recognition baseline 2017 · 431 citations
4310+3+6Years since publication100200300400

Peers

Hui Bu
Comparison fields: 5 of 107
  • Signal Processing 547
  • Artificial Intelligence 720
  • Management Science and Operations Research 164
  • Finance 102
  • Economics and Econometrics 172
Replace Yulei Rao with:
Yulei Rao China
Chih-Sheng Lin Taiwan
Bruno Miranda Henrique Brazil
M. Omair Shafiq Canada
Hyeonseung Im South Korea
Rohan Mukherjee India
C. K. Jha India
Zebin Yang United States
Αναστάσιος Πετρόπουλος Greece
J. H. Witte United Kingdom
Hui Bu relative to Yulei Rao China Yulei Rao's profile →
Citations per field
00.5×5.6×
Yulei Rao · 1×
Citations per year

Countries citing papers authored by Hui Bu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Hui Bu Line = papers co-authored together Hui Bu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 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 →
2017431
2 202083
3 202182
4 202274
5 201772
6 202249
7 201445
8 202036
9 201925
10 202221
11 201421
12 202121
13 202020
14 202218
15 201517
16 202417
17 201812
18 202011
19 201110
20 20239

About Hui Bu

Hui Bu is a scholar working on Artificial Intelligence, Signal Processing, Finance, Economics and Econometrics and Management Science and Operations Research, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (11 papers), Music and Audio Processing (9 papers), Financial Markets and Investment Strategies (9 papers), Market Dynamics and Volatility (7 papers), Stock Market Forecasting Methods (6 papers), Energy, Environment, Economic Growth (3 papers) and Complex Systems and Time Series Analysis (3 papers). The work is most often cited by research in Signal Processing (547 citations), Artificial Intelligence (720 citations), Management Science and Operations Research (164 citations), Finance (102 citations) and Economics and Econometrics (172 citations). Hui Bu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Hao Zheng, Xingyu Na, Junjie Wu, Jiahong Li, Xin Xu, Yao Shi, Xiaoyi Qin, Shaoji Zhang, Ming Li and Xin Xu. Their work appears in journals such as Finance research letters, International Journal of Forecasting, Medicine, Annals of Clinical Microbiology and Antimicrobials and Journal of Neuro-Oncology.

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.

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