Li Chai

179 papers receiving 1.0k citations

Peers

Li Chai
Comparison fields: 5 of 115
  • Control and Systems Engineering 189
  • Computer Vision and Pattern Recognition 157
  • Computer Networks and Communications 167
  • Media Technology 61
  • Signal Processing 71
Replace Hui Tian with:
Hui Tian China
Giorgio Gnecco Italy
Grazia Lo Sciuto Italy
Dali Wang United States
Ajay Shrestha United States
Xiao Song China
Tan N. Nguyen South Korea
Guangmin Hu China
Boriana L. Milenova United States
Li Chai relative to Hui Tian China Hui Tian's profile →
Citations per field
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Hui Tian · 1×
Citations per year

Countries citing papers authored by Li Chai

Since Specialization
Citations

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

Fields of papers citing papers by Li Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 201 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202062
2 201836
3 200235
4 201731
5 200630
6 201029
7 201926
8 200626
9 200824
10 200022
11 200820
12 200119
13 202019
14 201019
15 202219
16 202118
17 200417
18 200915
19 201114
20 202213

About Li Chai

Li Chai is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Computer Networks and Communications, Electrical and Electronic Engineering and Signal Processing, having authored 201 papers that have together received 1.0k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (29 papers), Distributed Control Multi-Agent Systems (19 papers), Digital Filter Design and Implementation (14 papers), Control Systems and Identification (12 papers), Advanced Control Systems Optimization (11 papers), Fault Detection and Control Systems (10 papers), Heat Transfer and Boiling Studies (10 papers) and Neural Networks Stability and Synchronization (10 papers). The work is most often cited by research in Control and Systems Engineering (189 citations), Computer Vision and Pattern Recognition (157 citations), Computer Networks and Communications (167 citations), Media Technology (61 citations) and Signal Processing (71 citations). Li Chai has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jingxin Zhang, Masahiro Shoji, Jing‐Wen Yi, Qing Feng, E. Mosca, Fang Yang, Cishen Zhang, X.F. Peng, I Chih‐Lin and Zhiming Liu. Their work appears in journals such as IEEE Transactions on Automatic Control, International Journal of Heat and Mass Transfer, IEEE Transactions on Signal Processing, IEEE Transactions on Industrial Informatics and International Journal of Thermal Sciences.

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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