Chaoli Wang

2.3k citations
139 papers · 1.7k indexed · h-index 26

Impact in

Papers in

Chaoli Wang

130 papers receiving 1.7k citations

Peers

Chaoli Wang
Comparison fields: 5 of 116
  • Control and Systems Engineering 1.1k
  • Computer Networks and Communications 726
  • Computer Vision and Pattern Recognition 506
  • Computer Graphics and Computer-Aided Design 73
  • Computational Theory and Mathematics 175
Replace Lawrence A. Shepp with:
Lawrence A. Shepp United States
Tetsuo Asano Japan
Basilio Bona Italy
Baoping Jiang China
Zhan Li China
Wei Ding China
S. Hui United States
Shun‐ichi Azuma Japan
E. Alper Yıldırım Türkiye
Pedro M. Q. Aguiar Portugal
Chaoli Wang relative to Lawrence A. Shepp United States Lawrence A. Shepp's profile →
Citations per field
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Lawrence A. Shepp · 1×
Citations per year

Countries citing papers authored by Chaoli Wang

Since Specialization
Citations

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

Fields of papers citing papers by Chaoli Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 139 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201067
2 202064
3 200752
4 200748
5 201648
6 201746
7 201243
8 202141
9 200839
10 201139
11 202038
12 202037
13 201936
14 201634
15 201134
16 201934
17 201334
18 200833
19 201331
20 201831

About Chaoli Wang

Chaoli Wang is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Biomedical Engineering and Computational Theory and Mathematics, having authored 139 papers that have together received 1.7k indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (62 papers), Adaptive Control of Nonlinear Systems (58 papers), Control and Dynamics of Mobile Robots (54 papers), Neural Networks Stability and Synchronization (39 papers), Robotic Path Planning Algorithms (36 papers), Advanced Vision and Imaging (20 papers), Robotic Locomotion and Control (13 papers) and Adaptive Dynamic Programming Control (11 papers). The work is most often cited by research in Control and Systems Engineering (1.1k citations), Computer Networks and Communications (726 citations), Computer Vision and Pattern Recognition (506 citations), Computer Graphics and Computer-Aided Design (73 citations) and Computational Theory and Mathematics (175 citations). Chaoli Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Gang Wang, Xuan Cai, Lin Li, Hongfeng Yu, Kwan‐Liu Ma, Fang Yang, Yantao Shen, Hua Chen, Zhihua Zhang and Shihua Li. Their work appears in journals such as Neurocomputing, International Journal of Systems Science, Journal of the Franklin Institute, International Journal of Robust and Nonlinear Control 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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