Jun Zhao

14.3k citations
478 papers · 11.5k indexed · 7 hit papers · h-index 47

Jun Zhao

459 papers receiving 11.3k citations

Hit Papers

Adaptive Output-Feedback Neural Control of Switched ...2572006202620122019200400600

Peers

Jun Zhao
Comparison fields: 5 of 92
  • Control and Systems Engineering 9.8k
  • Computer Networks and Communications 4.1k
  • Computational Theory and Mathematics 1.1k
  • Statistical and Nonlinear Physics 566
  • Aerospace Engineering 516
Replace Michael Basin with:
Michael Basin Mexico
Zhengrong Xiang China
Denis Efimov France
Ricardo G. Sanfelice United States
Sophie Tarbouriech France
Wilfrid Perruquetti France
Laurent Praly France
Pedro L. D. Peres Brazil
Ming Liu China
Geir E. Dullerud United States
Jun Zhao relative to Michael Basin Mexico Michael Basin's profile →
Citations per field
00.5×1.5×
Michael Basin · 1×
Citations per year

Countries citing papers authored by Jun Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Jun Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20236
3 202316
4 20237
5 20234
6 202313
7 202217
8 202211
9 202221
10 20222
11 202141
12 202118
13 202113
14 202124
15 202014
16 201955
17 201910
18 201931
19 20181
20 20177

About Jun Zhao

Jun Zhao is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Statistical and Nonlinear Physics, Computational Theory and Mathematics and Automotive Engineering, having authored 478 papers that have together received 11.5k indexed citations. Recurring topics across this work include Stability and Control of Uncertain Systems (352 papers), Adaptive Control of Nonlinear Systems (254 papers), Control and Stability of Dynamical Systems (121 papers), Stability and Controllability of Differential Equations (119 papers), Neural Networks Stability and Synchronization (102 papers), Advanced Control Systems Optimization (60 papers), Control Systems and Identification (42 papers) and Fault Detection and Control Systems (36 papers). The work is most often cited by research in Control and Systems Engineering (9.8k citations), Computer Networks and Communications (4.1k citations), Computational Theory and Mathematics (1.1k citations), Statistical and Nonlinear Physics (566 citations) and Aerospace Engineering (516 citations). Jun Zhao has collaborated with scholars based in China, Türkiye and Australia. Frequent co-authors include David J. Hill, Lijun Long, Georgi M. Dimirovski, Xi‐Ming Sun, Ben Niu, Tao Liu, Ruicheng Ma, Zhanjie Li, Dan Ma and Dong Yang. Their work appears in journals such as IET Control Theory and Applications, International Journal of Robust and Nonlinear Control, International Journal of Systems Science, Asian Journal of Control and Nonlinear Analysis Hybrid Systems.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026