Wu Wang

813 citations
85 papers · 550 · h-index 13

Impact in

Papers in

    • Stability and Control of Uncertain Systems 19
    • Adaptive Control of Nonlinear Systems 13
    • Advanced Algorithms and Applications 9
    • Advanced Sensor and Control Systems 9
    • Fault Detection and Control Systems 8
    • Control Systems and Identification 8
    • Advanced DC-DC Converters 9
    • Multilevel Inverters and Converters 9

Wu Wang

74 papers receiving 533 citations

Peers

Wu Wang
Comparison fields: 5 of 98
  • Analytical Chemistry 141
  • Biophysics 61
  • Control and Systems Engineering 213
  • Automotive Engineering 60
  • Industrial and Manufacturing Engineering 27
Replace Aditya Tulsyan with:
Aditya Tulsyan United States
Wu Ai China
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Krzysztof Siwek Poland
Song Han China
Hannes Sommer Switzerland
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Wu Wang relative to Aditya Tulsyan United States Aditya Tulsyan's profile →
Citations per field
00.5×4.5×
Aditya Tulsyan · 1×
Citations per year

Countries citing papers authored by Wu Wang

Since Specialization
Citations

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

Fields of papers citing papers by Wu Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202163
2 202060
3 201955
4 202332
5 201029
6 202124
7 201624
8 201918
9 201818
10 201617
11 201914
12 201713
13 202313
14 201711
15 200610
16 20129
17 20137
18 20157
19 20117
20 20166

About Wu Wang

Wu Wang is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Computer Networks and Communications, Safety, Risk, Reliability and Quality and Analytical Chemistry, having authored 85 papers that have together received 550 indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (19 papers), Adaptive Control of Nonlinear Systems (13 papers), Advanced Algorithms and Applications (9 papers), Advanced DC-DC Converters (9 papers), Advanced Sensor and Control Systems (9 papers), Multilevel Inverters and Converters (9 papers), Fault Detection and Control Systems (8 papers) and Control Systems and Identification (8 papers). The work is most often cited by research in Analytical Chemistry (141 citations), Biophysics (61 citations), Control and Systems Engineering (213 citations), Automotive Engineering (60 citations) and Industrial and Manufacturing Engineering (27 citations). Wu Wang has collaborated with scholars based in China, United Kingdom and Saudi Arabia. Frequent co-authors include Fenghuang Cai, Qiongbin Lin, Qinqin Chai, Xianghui Li, Fuwen Yang, Ni Lin, Xiaoyi Chen, Yu‐Cheng Chen, Yongmin Li and Zhi-Xin Yang. Their work appears in journals such as Analytical Methods, Neurocomputing, International Journal of Biological Macromolecules, Theranostics and IEEE Access.

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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