Haibin Wu

1.1k citations
50 papers · 628 indexed · h-index 13
Topics
Speech Recognition and Synthesis (26 papers)Speech and Audio Processing (16 papers)Music and Audio Processing (10 papers)
Partner nations
TaiwanChinaHong Kong

In The Last Decade

Haibin Wu

44 papers receiving 609 citations

Peers

Haibin Wu
Comparison fields: 5 of 81
  • Artificial Intelligence 342
  • Signal Processing 188
  • Control and Systems Engineering 95
  • Strategy and Management 94
  • Management Information Systems 83
Replace Murtadha M. Hamad with:
Murtadha M. Hamad Iraq
Daniel DiMase United States
Nikolaj Goranin Lithuania
Chao Jiang China
Nijat Mehdiyev Germany
Yulia Cherdantseva United Kingdom
Houda Benbrahim Morocco
Dhirendra Pandey India
George Stergiopoulos Greece
Motohide Umano Japan
Haibin Wu relative to Murtadha M. Hamad Iraq Murtadha M. Hamad's profile →
Citations per field
00.5×10×14.5×
Murtadha M. Hamad · 1×
Citations per year

Countries citing papers authored by Haibin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Haibin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haibin Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Haibin Wu. A scholar is included among the top collaborators of Haibin Wu 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 Haibin Wu. Haibin Wu 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
#WorkIndexed citations
1 0
2 1
3 9
4 8
5 0
6 1
7 1
8 0
9 1
10 67
11 3
12 3
13 7
14 28
15 36
16 59
17 26
18
Research progress on soil infiltration of green space and its importance for municipal ecological security
4
19 131
20
CHANGES IN ORGANIC CARBON OF CULTIVATED SOILS IN CHINA FROM 1980 TO 2000
6

About Haibin Wu

Haibin Wu is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 50 papers that have together received 628 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (26 papers), Speech and Audio Processing (16 papers) and Music and Audio Processing (10 papers). The work is most often cited by research in Signal Processing (188 citations), Artificial Intelligence (342 citations) and Management Information Systems (83 citations). Haibin Wu has collaborated with scholars based in Taiwan, China and Hong Kong. Frequent co-authors include Hung-yi Lee, Helen Meng, Yi Liu, Mingfang Li, Yuan Li, Yuan Yao, Songxiang Liu, Andy T. Liu, Zhengbing Yan and Yun Dai. Their work appears in journals such as Journal of Operations Management, IEEE Transactions on Industrial Informatics and Computers & Chemical Engineering.

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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