Hongbing Hu

832 total citations · 1 hit paper
26 papers, 563 citations indexed

About

Hongbing Hu is a scholar working on Signal Processing, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Hongbing Hu has authored 26 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Signal Processing, 8 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Hongbing Hu's work include Speech and Audio Processing (8 papers), Speech Recognition and Synthesis (7 papers) and Music and Audio Processing (5 papers). Hongbing Hu is often cited by papers focused on Speech and Audio Processing (8 papers), Speech Recognition and Synthesis (7 papers) and Music and Audio Processing (5 papers). Hongbing Hu collaborates with scholars based in China, United States and Hong Kong. Hongbing Hu's co-authors include Stephen A. Zahorian, Weihao Li, Yu Chen, Wei‐Shinn Ku, Zhou Su, Chee Yoong Liew, Kishwar Ali, Jianguo Du, Zhe Zhang and Shaoshan Liu and has published in prestigious journals such as Journal of Biological Chemistry, Nanoscale and The Journal of the Acoustical Society of America.

In The Last Decade

Hongbing Hu

22 papers receiving 526 citations

Hit Papers

Green finance policy, ESG rating, and cost of debt——Evide... 2023 2026 2024 2025 2023 25 50 75

Peers

Hongbing Hu
Comparison fields: 5 of 96
  • Computer Networks and Communications 110
  • Signal Processing 107
  • Economics and Econometrics 103
  • Artificial Intelligence 99
  • Computer Vision and Pattern Recognition 89
Replace Kavitha Chandra with:
Kavitha Chandra United States
Bogdan Trawiński Poland
Xiaolong Lan China
Yuyu Yuan China
Y. Ding China
Xiao Lu China
Mamoon M. Saeed Saudi Arabia
Wenzhi Cao China
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Kavitha Chandra United States View profile →
Citations per field, relative to Hongbing Hu
Hongbing Hu · 1×
Citations per year, relative to Hongbing Hu
Hongbing Hu · 1×

Countries citing papers authored by Hongbing Hu

Since Specialization
Citations

This map shows the geographic impact of Hongbing Hu'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 Hongbing Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongbing Hu more than expected).

Fields of papers citing papers by Hongbing Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hongbing Hu. 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 Hongbing Hu. The network helps show where Hongbing Hu may publish in the future.

Co-authorship network of co-authors of Hongbing Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Hongbing Hu. A scholar is included among the top collaborators of Hongbing Hu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hongbing Hu. Hongbing Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 3
2 0
3 54
4 0
5
Green finance policy, ESG rating, and cost of debt——Evidence from China breakdown →
89
6 1
7 6
8 4
9 19
10 20
11 35
12 44
13 14
14 1
15
Nonlinear discriminant analysis based feature dimensionality reduction for automatic speech recognition
0
16 10
17 19
18 94
19 7
20
Parallel algorithms in vision and robotics
2

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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