Zhou Jun

919 citations
57 papers · 691 · h-index 9

Impact in

Papers in

Zhou Jun

47 papers receiving 657 citations

Peers

Zhou Jun
Comparison fields: 5 of 84
  • Artificial Intelligence 415
  • Statistics and Probability 86
  • Control and Systems Engineering 234
  • Computational Theory and Mathematics 52
  • Management Science and Operations Research 38
Replace G.V.S. Raju with:
G.V.S. Raju United States
Zhi‐gang Su China
Francesco Dinuzzo Germany
Zhizhong Mao China
Torsten Bohlin Sweden
Pei-hong Wang China
Sehraneh Ghaemi Iran
Xiuqiao Xiang China
Chang Sun China
Chin-Chin Lin Taiwan
Zhou Jun relative to G.V.S. Raju United States G.V.S. Raju's profile →
Citations per field
00.5×1.7×
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 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991326
2 1993183
3 201919
4 201817
5 199013
6 200512
7 200510
8 20069
9 20108
10 20107
11 20067
12 20076
13 20086
14
The Study on Sources of Occupational Stress of Primary and Secondary School Teachers
20115
15
Algorithm of 4D Real-time Path Planning based on A* Algorithm
20084
16 20104
17 20084
18 20074
19 20054
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 Mechanical Engineering, having authored 57 papers that have together received 691 indexed citations. Recurring topics across this work include Adaptive Control of Nonlinear Systems (9 papers), Computational Fluid Dynamics and Aerodynamics (8 papers), Space Satellite Systems and Control (6 papers), Spacecraft Design and Technology (5 papers), Fuzzy Logic and Control Systems (5 papers), Fluid Dynamics and Turbulent Flows (5 papers), Inertial Sensor and Navigation (4 papers) and Guidance and Control Systems (4 papers). The work is most often cited by research in Artificial Intelligence (415 citations), Statistics and Probability (86 citations), Control and Systems Engineering (234 citations), Computational Theory and Mathematics (52 citations) and Management Science and Operations Research (38 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, Chang‐ai Sun, Chaoran Wang, Zhigang Gao, Peng Li and Peng Lin. Their work appears in journals such as International Journal of Applied Mechanics, Applied Mathematics and Computation, Applied Mathematical Modelling, International Journal of Control and IEEE Access.

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