Zhenyang Wu

1.1k citations
103 papers · 827 · h-index 15

Impact in

Papers in

Zhenyang Wu

85 papers receiving 767 citations

Peers

Zhenyang Wu
Comparison fields: 5 of 107
  • Signal Processing 302
  • Computer Vision and Pattern Recognition 335
  • Media Technology 95
  • Cognitive Neuroscience 138
  • Sensory Systems 23
Replace Jingyu Wang with:
Jingyu Wang China
Daniel L. Lau United States
Dan Ellis United States
Marvin Ritter United States
Neill Campbell United Kingdom
Matthias Zeppelzauer Austria
Aki Härmä Netherlands
Heinrich Niemann Germany
Jan Schlüter Austria
Chang-Hsing Lee Taiwan
Zhenyang Wu relative to Jingyu Wang China Jingyu Wang's profile →
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Citations per year

Countries citing papers authored by Zhenyang Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhenyang Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zhenyang Wu, 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 Zhenyang Wu Line = papers co-authored together Zhenyang Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006128
2 200773
3 200661
4 199538
5 201435
6 200434
7 201231
8 199726
9 200625
10 201724
11 200421
12 201419
13 201318
14 201015
15 200915
16
A Study on Emotional Feature Analysis and Recognition in Speech
200410
17 201910
18 202110
19 201310
20 201510

About Zhenyang Wu

Zhenyang Wu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Computational Mechanics and Control and Systems Engineering, having authored 103 papers that have together received 827 indexed citations. Recurring topics across this work include Speech and Audio Processing (35 papers), Video Surveillance and Tracking Methods (15 papers), Advanced Adaptive Filtering Techniques (15 papers), Speech Recognition and Synthesis (12 papers), Image and Signal Denoising Methods (11 papers), Hearing Loss and Rehabilitation (9 papers), Advanced Algorithms and Applications (8 papers) and Music and Audio Processing (8 papers). The work is most often cited by research in Signal Processing (302 citations), Computer Vision and Pattern Recognition (335 citations), Media Technology (95 citations), Cognitive Neuroscience (138 citations) and Sensory Systems (23 citations). Zhenyang Wu has collaborated with scholars based in China, Bangladesh and United States. Frequent co-authors include Kaiqi Huang, Qiao Wang, Lin Zhou, Yu Hen Hu, Hao Ma, Suofei Zhang, Xu Cheng, Wai-Yip Chan, Tiago H. Falk and Shuhong Zhao. Their work appears in journals such as Applied Acoustics, Signal Processing, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, International Journal of Molecular Sciences and Journal of Systematics and Evolution.

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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