Zhou Jun

926 citations
55 papers · 632 indexed · h-index 9

Impact in

Papers in

Zhou Jun

49 papers receiving 597 citations

Peers

Zhou Jun
Comparison fields: 5 of 85
  • Artificial Intelligence 377
  • Statistics and Probability 80
  • Control and Systems Engineering 216
  • Computational Theory and Mathematics 49
  • Computational Mechanics 59
Replace G.V.S. Raju with:
G.V.S. Raju United States
Zhi‐gang Su China
Francesco Dinuzzo Germany
Ehsan Valian Iran
Xiuqiao Xiang China
Sehraneh Ghaemi Iran
Chang Sun China
Fucai Qian China
Heidar Malki United States
Ahmad M. El-Nagar Egypt
Zhou Jun relative to G.V.S. Raju United States G.V.S. Raju's profile →
Citations per field
00.5×4.9×
G.V.S. Raju · 1×
Citations per year

Countries citing papers authored by Zhou Jun

Since Specialization
Citations

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

Fields of papers citing papers by Zhou Jun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991297
2 1993163
3 201917
4 201816
5 200512
6 199012
7 20069
8 20058
9 20108
10 20067
11 20107
12 20086
13 20075
14
The Study on Sources of Occupational Stress of Primary and Secondary School Teachers
20114
15 20084
16 20104
17 20054
18
Algorithm of 4D Real-time Path Planning based on A* Algorithm
20083
19
Design of Neural Network Variable Structure Reentry Control System for Reusable Launch Vehicle
20083
20
Generalization of Covering Rough Sets
20043

About Zhou Jun

Zhou Jun is a scholar working on Control and Systems Engineering, Aerospace Engineering, Computational Mechanics, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 55 papers that have together received 632 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (9 papers), Computational Fluid Dynamics and Aerodynamics (9 papers), Fuzzy Logic and Control Systems (7 papers), Fluid Dynamics and Turbulent Flows (6 papers), Space Satellite Systems and Control (5 papers), Inertial Sensor and Navigation (4 papers), Guidance and Control Systems (4 papers) and Spacecraft Design and Technology (4 papers). The work is most often cited by research in Artificial Intelligence (377 citations), Statistics and Probability (80 citations), Control and Systems Engineering (216 citations), Computational Theory and Mathematics (49 citations) and Computational Mechanics (59 citations). Zhou Jun has collaborated with scholars based in China, United States and Australia. Frequent co-authors include G.V.S. Raju, R.A. Kisner, Li Cai, Jian-Hu Feng, Yuchao Liu, Peng Lin, Fengqi Zhou, Chang‐ai Sun, Zhigang Gao and Junhua Bai. Their work appears in journals such as International Journal of Applied Mechanics, Applied Mathematics and Computation, Optics Express, IEEE Access and International Journal of Control.

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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