Kai Zhao

6.1k citations
228 papers · 3.9k indexed · 3 hit papers · h-index 29

Impact in

Papers in

Kai Zhao

204 papers receiving 3.8k citations

Hit Papers

Adaptive Asymptotic Tracking With Global Performance for Nonlinear Systems With Unknown Control Directions 2021 · 254 citations
2542017202620202023100200300

Peers

Kai Zhao
Comparison fields: 5 of 145
  • Control and Systems Engineering 2.3k
  • Computational Theory and Mathematics 815
  • Media Technology 421
  • Computer Networks and Communications 821
  • Computer Vision and Pattern Recognition 332
Replace Wei Xie with:
Wei Xie China
Qing Li China
Pınar Çivicioğlu Türkiye
Yong Feng China
Asanga Ratnaweera Sri Lanka
Jianxing Liu China
Chong‐Ho Choi South Korea
Kanjian Zhang China
Zhiqin Zhu China
J. Sánchez Spain
Kai Zhao relative to Wei Xie China Wei Xie's profile →
Citations per field
00.5×8.1×
Wei Xie · 1×
Citations per year

Countries citing papers authored by Kai Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Kai Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20258
2 20254
3 20252
4 20245
5 20247
6 202410
7 202421
8 202415
9 20241
10 20241
11 202314
12 20236
13 20230
14 202325
15 20234
16 202211
17 20213
18 201679
19 20152
20 20080

About Kai Zhao

Kai Zhao is a scholar working on Media Technology, Computational Mathematics, Control and Systems Engineering, Computational Theory and Mathematics and Atmospheric Science, having authored 228 papers that have together received 3.9k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (52 papers), Remote-Sensing Image Classification (32 papers), Remote Sensing and Land Use (24 papers), Advanced Control Systems Optimization (22 papers), Adaptive Dynamic Programming Control (21 papers), Stability and Control of Uncertain Systems (18 papers), Advanced Image Fusion Techniques (16 papers) and Iterative Learning Control Systems (16 papers). The work is most often cited by research in Control and Systems Engineering (2.3k citations), Computational Theory and Mathematics (815 citations), Media Technology (421 citations), Computer Networks and Communications (821 citations) and Computer Vision and Pattern Recognition (332 citations). Kai Zhao has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Yongduan Song, Long Chen, C. L. Philip Chen, Zhirong Zhang, Tiedong Ma, He Liu, Shou Feng, Frank L. Lewis, Zhixi Shen and Wen‐Xiang Zhu. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Neural Networks and Learning Systems, International Journal of Robust and Nonlinear Control, IEEE Transactions on Systems Man and Cybernetics Systems and Automatica.

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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