Bing Chu

1.9k citations
121 papers · 1.4k · h-index 22

Impact in

Papers in

Bing Chu

114 papers receiving 1.4k citations

Peers

Bing Chu
Comparison fields: 5 of 47
  • Control and Systems Engineering 960
  • Electrical and Electronic Engineering 293
  • Rehabilitation 23
  • Biomedical Engineering 70
  • Artificial Intelligence 64
Replace Kok‐Meng Lee with:
Kok‐Meng Lee United States
Iván Salgado Mexico
Vahid Azimirad Iran
Parag M. Patre United States
Hanz Richter United States
Tomislav B. Šekara Serbia
Stanislav V. Aranovskiy Russia
Yikun Gu China
Fernando E. Serrano Honduras
Chian‐Song Chiu Taiwan
Bing Chu relative to Kok‐Meng Lee United States Kok‐Meng Lee's profile →
Citations per field
00.5×10×20×31.2×
Kok‐Meng Lee · 1×
Citations per year

Countries citing papers authored by Bing Chu

Since Specialization
Citations

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

Fields of papers citing papers by Bing Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015112
2 201966
3 201062
4 201758
5 201556
6 200942
7 201842
8 202241
9 201438
10 201436
11 201535
12 201334
13 202133
14 201732
15 201931
16 201428
17 201225
18 202225
19 200824
20 201023

About Bing Chu

Bing Chu is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Aerospace Engineering, Rehabilitation and Artificial Intelligence, having authored 121 papers that have together received 1.4k indexed citations. Recurring topics across this work include Iterative Learning Control Systems (88 papers), Wind Energy Research and Development (6 papers), Control and Stability of Dynamical Systems (6 papers), Power System Optimization and Stability (5 papers), Wind Turbine Control Systems (5 papers), Advanced Control Systems Optimization (3 papers), Quantum Computing Algorithms and Architecture (3 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Control and Systems Engineering (960 citations), Electrical and Electronic Engineering (293 citations), Rehabilitation (23 citations), Biomedical Engineering (70 citations) and Artificial Intelligence (64 citations). Bing Chu has collaborated with scholars based in United Kingdom, China and Italy. Frequent co-authors include D.H. Owens, Christopher Thomas Freeman, Yiyang Chen, Yanhong Liu, Eric Rogers, Sze Sing Lee, Hua Geng, Hui Hwang Goh, Nik Rumzi Nik Idris and Yeh En Heng. Their work appears in journals such as IEEE Transactions on Control Systems Technology, International Journal of Control, International Journal of Robust and Nonlinear Control, IEEE Transactions on Automatic Control and Control Engineering Practice.

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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