Binrui Wang

734 citations
67 papers · 510 · h-index 14

Impact in

Papers in

Binrui Wang

60 papers receiving 500 citations

Peers

Binrui Wang
Comparison fields: 5 of 79
  • Control and Systems Engineering 125
  • Computer Networks and Communications 87
  • Computational Theory and Mathematics 59
  • Biomedical Engineering 103
  • Computer Vision and Pattern Recognition 48
Replace Sun’an Wang with:
Sun’an Wang China
Yuequan Yang China
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Yuichi Kobayashi Japan
Dapeng Tian China
Lijin Wang China
Yiming Wang China
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Binrui Wang relative to Sun’an Wang China Sun’an Wang's profile →
Citations per field
00.5×2×2.8×
Sun’an Wang · 1×
Citations per year

Countries citing papers authored by Binrui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Binrui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202238
2 201334
3 201430
4 202030
5 202226
6 202024
7 201321
8 201419
9 202318
10 202117
11 202316
12 202315
13 202115
14 201714
15 202314
16 202110
17 202010
18 20219
19 20208
20 20218

About Binrui Wang

Binrui Wang is a scholar working on Control and Systems Engineering, Biomedical Engineering, Computational Theory and Mathematics, Aerospace Engineering and Plant Science, having authored 67 papers that have together received 510 indexed citations. Recurring topics across this work include Prosthetics and Rehabilitation Robotics (12 papers), Adaptive Dynamic Programming Control (9 papers), Robotic Locomotion and Control (9 papers), Greenhouse Technology and Climate Control (8 papers), Muscle activation and electromyography studies (7 papers), Robotic Path Planning Algorithms (6 papers), Soft Robotics and Applications (6 papers) and Adaptive Control of Nonlinear Systems (5 papers). The work is most often cited by research in Control and Systems Engineering (125 citations), Computer Networks and Communications (87 citations), Computational Theory and Mathematics (59 citations), Biomedical Engineering (103 citations) and Computer Vision and Pattern Recognition (48 citations). Binrui Wang has collaborated with scholars based in China, United States and Russia. Frequent co-authors include Huaguang Zhang, Xiaohong Cui, Lina Wang, Yanfeng Gao, Junyi Wang, Xin She Yang, Zhanshan Wang, Yujiao Huang, Lina Wang and Xue Li. Their work appears in journals such as Computers and Electronics in Agriculture, Neurocomputing, International Journal of Systems Science, Inorganica Chimica Acta and ISA Transactions.

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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