Shu Hui Wu

2.6k total citations
61 papers, 1.9k citations indexed

About

Shu Hui Wu is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Shu Hui Wu has authored 61 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Sensory Systems, 19 papers in Cellular and Molecular Neuroscience and 17 papers in Cognitive Neuroscience. Recurrent topics in Shu Hui Wu's work include Hearing, Cochlea, Tinnitus, Genetics (24 papers), Neuroscience and Neuropharmacology Research (17 papers) and Climate variability and models (14 papers). Shu Hui Wu is often cited by papers focused on Hearing, Cochlea, Tinnitus, Genetics (24 papers), Neuroscience and Neuropharmacology Research (17 papers) and Climate variability and models (14 papers). Shu Hui Wu collaborates with scholars based in Canada, United States and China. Shu Hui Wu's co-authors include Donata Oertel, Jack B. Kelly, Jack B. Kelly, Zhengyu Liu, Hongyu Sun, Xiao Fu, Liang Li, Dexing Zhang, Yun Liu and Shaoqing Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Journal of Neuroscience.

In The Last Decade

Shu Hui Wu

59 papers receiving 1.8k citations

Peers

Shu Hui Wu
Comparison fields: 5 of 114
  • Sensory Systems 1.0k
  • Cognitive Neuroscience 844
  • Cellular and Molecular Neuroscience 580
  • Atmospheric Science 317
  • Global and Planetary Change 308
Replace Steven C. Chamberlain with:
Steven C. Chamberlain United States
Bruno Cozzi Italy
José Luis Peña United States
Dietrich L. Meyer Germany
Marc Lenoir France
T. H. Bullock United States
Xiaojing Gao China
John Irwin Johnson United States
J.S. McKenzie Australia
Hiroshi Shimazu Japan
Steven C. Chamberlain United States View profile →
Citations per field, relative to Shu Hui Wu
Shu Hui Wu · 1×
Citations per year, relative to Shu Hui Wu
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Countries citing papers authored by Shu Hui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shu Hui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shu Hui Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Shu Hui Wu. A scholar is included among the top collaborators of Shu Hui 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 Shu Hui Wu. Shu Hui 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
# Work Indexed citations
1 0
2 24
3
The analysis of interannual and interdecadal characteristics of global sea surface temperature during 1902—2003
2
4 17
5
Forecasting precipitation using gray topological with wavelet denoising
4
6 24
7 9
8 10
9 19
10 18
11 10
12 4
13 26
14 8
15 29
16 17
17 17
18 25
19 23
20 184

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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