Jun Zhao

2.2k citations
132 papers · 1.7k · h-index 21

Impact in

Papers in

Jun Zhao

112 papers receiving 1.6k citations

Peers

Jun Zhao
Comparison fields: 5 of 93
  • Control and Systems Engineering 751
  • Computational Theory and Mathematics 285
  • Energy Engineering and Power Technology 41
  • Electrical and Electronic Engineering 540
  • Building and Construction 103
Replace Shiyou Yang with:
Shiyou Yang China
Iulian Munteanu Romania
Peter M. Young United States
Tae-Hyoung Kim South Korea
Sebastián Martín Germany
R. Escarela-Pérez Mexico
Min Sun China
Haifeng Li China
Amir Abolfazl Suratgar Iran
Jun Zhao relative to Shiyou Yang China Shiyou Yang's profile →
Citations per field
00.5×2×4×6×7.9×
Shiyou Yang · 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-authors

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

Showing the 20 most-cited of 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012165
2 2019135
3 2020107
4 202298
5 201277
6 201166
7 202153
8 202053
9 202151
10 202340
11 201735
12 202335
13 202229
14 202029
15 202028
16 200925
17 202124
18 201723
19 202423
20 202223

About Jun Zhao

Jun Zhao is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering, Computational Theory and Mathematics, Atomic and Molecular Physics, and Optics and Biomedical Engineering, having authored 132 papers that have together received 1.7k indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (27 papers), Adaptive Dynamic Programming Control (26 papers), Stability and Control of Uncertain Systems (20 papers), Advanced Fiber Laser Technologies (14 papers), Neural Networks Stability and Synchronization (13 papers), Laser-Matter Interactions and Applications (11 papers), Mechanical Circulatory Support Devices (9 papers) and Smart Grid Energy Management (7 papers). The work is most often cited by research in Control and Systems Engineering (751 citations), Computational Theory and Mathematics (285 citations), Energy Engineering and Power Technology (41 citations), Electrical and Electronic Engineering (540 citations) and Building and Construction (103 citations). Jun Zhao has collaborated with scholars based in China, United Kingdom and Türkiye. Frequent co-authors include Yongfeng Lv, Jing Na, Lijun Long, Guanbin Gao, Minglie Hu, Kaiqiang Zhang, Ruoyu Liao, Qingsong An, Shengyuan Zhong and Chingyue Wang. Their work appears in journals such as Neurocomputing, Optics Letters, Case Studies in Thermal Engineering, IEEE Transactions on Intelligent Transportation Systems and IEEE Transactions on Circuits & Systems II Express Briefs.

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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