Jun Zhao

2.1k total citations
126 papers, 1.5k citations indexed

About

Jun Zhao is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Jun Zhao has authored 126 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Control and Systems Engineering, 37 papers in Electrical and Electronic Engineering and 27 papers in Computational Theory and Mathematics. Recurrent topics in Jun Zhao's work include Adaptive Control of Nonlinear Systems (26 papers), Adaptive Dynamic Programming Control (25 papers) and Stability and Control of Uncertain Systems (19 papers). Jun Zhao is often cited by papers focused on Adaptive Control of Nonlinear Systems (26 papers), Adaptive Dynamic Programming Control (25 papers) and Stability and Control of Uncertain Systems (19 papers). Jun Zhao collaborates with scholars based in China, United Kingdom and North Macedonia. Jun Zhao's co-authors include Jing Na, Lijun Long, Yongfeng Lv, Guanbin Gao, Minglie Hu, Kaiqiang Zhang, Qingsong An, Ruoyu Liao, Chingyue Wang and Shengyuan Zhong and has published in prestigious journals such as Journal of Applied Physics, IEEE Transactions on Automatic Control and IEEE Transactions on Industrial Electronics.

In The Last Decade

Jun Zhao

112 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jun Zhao China 20 719 502 260 210 207 126 1.5k
Zhigang Ren China 18 484 0.7× 311 0.6× 61 0.2× 96 0.5× 181 0.9× 128 1.3k
Tae-Hyoung Kim South Korea 26 840 1.2× 1.4k 2.9× 108 0.4× 214 1.0× 194 0.9× 115 2.9k
Lilong Cai Hong Kong 24 676 0.9× 180 0.4× 115 0.4× 203 1.0× 108 0.5× 135 1.7k
Guchuan Zhu Canada 19 766 1.1× 834 1.7× 104 0.4× 211 1.0× 27 0.1× 108 1.3k
Shiyou Yang China 23 671 0.9× 1.3k 2.5× 281 1.1× 82 0.4× 362 1.7× 173 2.1k
Amir Abolfazl Suratgar Iran 16 398 0.6× 251 0.5× 41 0.2× 49 0.2× 263 1.3× 122 1.0k
Ze Li China 20 658 0.9× 408 0.8× 174 0.7× 57 0.3× 191 0.9× 138 1.5k
Lúıs Almeida Portugal 27 276 0.4× 585 1.2× 521 2.0× 77 0.4× 170 0.8× 288 2.8k
Iulian Munteanu Romania 19 1.0k 1.4× 1.6k 3.1× 95 0.4× 49 0.2× 191 0.9× 79 2.2k

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 of co-authors of Jun Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Zhao. A scholar is included among the top collaborators of Jun Zhao based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Zhao. Jun Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Yang, Dongfang, et al.. (2025). Towards intelligent management of regional building energy systems: A framework combined with deep reinforcement learning for hybrid energy storage. Energy Conversion and Management. 329. 119656–119656. 4 indexed citations
3.
Zeng, Qingliang, et al.. (2025). Adaptive Learning-Based Optimal Prescribed Performance Tracking Error Measurement of Hydraulic Support Initial Support Force. IEEE Transactions on Instrumentation and Measurement. 74. 1–14.
4.
Zhao, Jun, et al.. (2024). Modeling and verification of cortical bone drilling forces based on tissue structure heterogeneity. CIRP journal of manufacturing science and technology. 54. 63–74. 1 indexed citations
5.
6.
Lv, Yongfeng, et al.. (2024). Robust optimal control of the multi‐input systems with unknown disturbance based on adaptive integral reinforcement learning Q‐function. International Journal of Robust and Nonlinear Control. 34(6). 4234–4251. 8 indexed citations
7.
Zhao, Jun, et al.. (2024). Chip formation and removal mechanisms in cutting of cortical bones with heterogeneous tissue structures. Journal of Manufacturing Processes. 129. 238–252. 1 indexed citations
8.
Zhao, Jun, et al.. (2024). Data-Driven Learning for H $_{\infty}$ Control of Adaptive Cruise Control Systems. IEEE Transactions on Vehicular Technology. 73(12). 18348–18362. 16 indexed citations
9.
Li, Mu, et al.. (2024). A New Pavement Recognition Method of 24-GHz Radar Based on Prior Knowledge and Data-Driven. IEEE Sensors Journal. 24(6). 9082–9092. 2 indexed citations
10.
Zhao, Jun, et al.. (2024). Adaptive Optimal Tracking Control of Servo Mechanisms via Generalized Policy Learning. IEEE Transactions on Instrumentation and Measurement. 73. 1–11. 5 indexed citations
11.
Zhao, Jun, et al.. (2023). Optimal prescribed performance tracking control of nonlinear motor driven systems via adaptive dynamic programming. Asian Journal of Control. 25(6). 4499–4511. 4 indexed citations
12.
Zhao, Jun, et al.. (2023). Fully distributed event-triggered cooperative output regulation for switched multi-agent systems with combined switching mechanism. Information Sciences. 638. 118970–118970. 6 indexed citations
13.
Song, Chunyue, et al.. (2022). Improved approximate dynamic programming for real-time economic dispatch of integrated microgrids. Energy. 255. 124513–124513. 28 indexed citations
14.
Zhao, Jun, Yongfeng Lv, & Ziliang Zhao. (2021). Adaptive Learning Based Output-Feedback Optimal Control of CT Two-Player Zero-Sum Games. IEEE Transactions on Circuits & Systems II Express Briefs. 69(3). 1437–1441. 24 indexed citations
15.
Zhao, Jun, Jintao Fan, Haochen Tian, & Minglie Hu. (2020). Dual-mode and two-signal-wavelength femtosecond optical parametric oscillator based on LiB3O5. Optics Letters. 45(14). 3985–3985. 2 indexed citations
16.
Zhao, Jun, et al.. (2020). First-Order and High-Order Repetitive Control for Single-Phase Grid-Connected Inverter. Complexity. 2020. 1–10. 6 indexed citations
17.
Liu, Wu, Ruoyu Liao, Jun Zhao, et al.. (2019). Femtosecond Mamyshev oscillator with 10-MW-level peak power. Optica. 6(2). 194–194. 122 indexed citations
18.
Zhao, Jun, Jintao Fan, Ruoyu Liao, Na Xiao, & Minglie Hu. (2019). High-power femtosecond cylindrical vector beam optical parametric oscillator. Optics Express. 27(23). 33080–33080. 8 indexed citations
19.
Xiao, Na, Jintao Fan, Jun Zhao, et al.. (2019). Intrinsic conservation nature of orbital angular momentum in a vortex-pumped femtosecond optical parametric amplifier. Journal of Physics D Applied Physics. 53(11). 115104–115104. 1 indexed citations
20.
Fan, Jintao, Haosen Shi, Jun Zhao, et al.. (2018). Compact V-Type Cavity for Harmonically Pumped 1-GHz Femtosecond Optical Parametric Oscillator. IEEE Photonics Technology Letters. 30(24). 2159–2162. 5 indexed citations

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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