Zhenwei Cao

4.6k citations
157 papers · 3.6k indexed · h-index 31

Impact in

Papers in

Zhenwei Cao

148 papers receiving 3.5k citations

Peers

Zhenwei Cao
Comparison fields: 5 of 99
  • Control and Systems Engineering 2.3k
  • Automotive Engineering 1.2k
  • Mechanical Engineering 771
  • Electrical and Electronic Engineering 1.1k
  • Computer Networks and Communications 250
Replace Chris Manzie with:
Chris Manzie Australia
Soohee Han South Korea
Jinchuan Zheng Australia
Andreas Kugi Austria
Jürgen Guldner Germany
Guido Herrmann United Kingdom
Franck Plestan France
John Y. Hung United States
Zhiqiang Gao United States
Jingqing Han China
Zhenwei Cao relative to Chris Manzie Australia Chris Manzie's profile →
Citations per field
00.5×3.2×
Chris Manzie · 1×
Citations per year

Countries citing papers authored by Zhenwei Cao

Since Specialization
Citations

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

Fields of papers citing papers by Zhenwei Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20248
2 20241
3 20248
4 202411
5 20249
6 20242
7 20245
8 20233
9 20233
10 20232
11 20231
12 20232
13 20222
14 202221
15 202070
16
Extreme-learning-machine-based FNTSM control strategy for electronic throttle
20191
17 20173
18 201722
19 201324
20
Secure communication via multi-parameter modulation using Chua systems
20041

About Zhenwei Cao

Zhenwei Cao is a scholar working on Control and Systems Engineering, Automotive Engineering, Mechanical Engineering, Artificial Intelligence and Architecture, having authored 157 papers that have together received 3.6k indexed citations. Recurring topics across this work include Iterative Learning Control Systems (62 papers), Adaptive Control of Nonlinear Systems (34 papers), Piezoelectric Actuators and Control (28 papers), Vehicle Dynamics and Control Systems (20 papers), Hydraulic and Pneumatic Systems (16 papers), Machine Learning and ELM (16 papers), Control Systems in Engineering (16 papers) and Advanced Battery Technologies Research (11 papers). The work is most often cited by research in Control and Systems Engineering (2.3k citations), Automotive Engineering (1.2k citations), Mechanical Engineering (771 citations), Electrical and Electronic Engineering (1.1k citations) and Computer Networks and Communications (250 citations). Zhenwei Cao has collaborated with scholars based in Australia, China and Iraq. Frequent co-authors include Zhihong Man, Weixiang Shen, Kamal Rsetam, Ajay Kapoor, Xiaopeng Chen, Hai Wang, Jinchuan Zheng, Edi Kurniawan, Huifang Kong and Xinghuo Yu. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Neural Computing and Applications, IEEE/ASME Transactions on Mechatronics, IET Control Theory and Applications and IEEE Transactions on Vehicular Technology.

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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