Chenyu Wu

2.1k citations
78 papers · 1.6k · h-index 20

Impact in

Papers in

Chenyu Wu

71 papers receiving 1.5k citations

Peers

Chenyu Wu
Comparison fields: 5 of 111
  • Energy Engineering and Power Technology 235
  • Electrical and Electronic Engineering 970
  • Computer Vision and Pattern Recognition 343
  • Computer Graphics and Computer-Aided Design 54
  • Control and Systems Engineering 335
Replace Zicheng Liu with:
Zicheng Liu China
A. Testa Italy
Gilsoo Jang South Korea
Xiaohan Shi China
Miao Li China
Kun Zhang China
Sarah Rönnberg Sweden
Muhsin Tunay Gençoğlu Türkiye
Siyun Chen China
Chenyu Wu relative to Zicheng Liu China Zicheng Liu's profile →
Citations per field
00.5×4.4×
Zicheng Liu · 1×
Citations per year

Countries citing papers authored by Chenyu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Chenyu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 78 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017356
2 2017127
3 201885
4 200962
5 200457
6 201856
7 202153
8 202349
9 202249
10 202043
11 200340
12 201839
13 202338
14 200637
15 201837
16 200436
17 201835
18 202333
19 200419
20 202319

About Chenyu Wu

Chenyu Wu is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, Energy Engineering and Power Technology and Signal Processing, having authored 78 papers that have together received 1.6k indexed citations. Recurring topics across this work include Integrated Energy Systems Optimization (16 papers), Smart Grid Energy Management (14 papers), Electric Power System Optimization (11 papers), Face and Expression Recognition (5 papers), Optimal Power Flow Distribution (5 papers), Microgrid Control and Optimization (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Power Systems and Renewable Energy (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (235 citations), Electrical and Electronic Engineering (970 citations), Computer Vision and Pattern Recognition (343 citations), Computer Graphics and Computer-Aided Design (54 citations) and Control and Systems Engineering (335 citations). Chenyu Wu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Wei Gu, Shuai Lu, Jun Wang, Zhao Luo, Ping Jiang, Branislav Jaramaz, Srinivasa G. Narasimhan, Yinliang Xu, Zhongkai Yi and Baoju Li. Their work appears in journals such as IEEE Transactions on Power Systems, Applied Energy, Applied Sciences, International Journal of Electrical Power & Energy Systems and Computer Aided Surgery.

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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