Rijun Wang
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- Industrial Vision Systems and Defect Detection 9
- Control and Systems Engineering top 10%
- Adaptive Control of Nonlinear Systems 4
- Fault Detection and Control Systems 3
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- Wood and Agarwood Research 7
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- Remote Sensing and LiDAR Applications 5
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- Advanced Neural Network Applications 3
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- Advanced Control and Stabilization in Aerospace Systems 3
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- Integrated Energy Systems Optimization 2
- Co-authors
- Guowei CaiNantian HuangDongmin YuJunyuan WangShengyuan WangDazhi YangYang LiuZhijian Wang
- Cited by
- Energy Engineering and Power TechnologyIndustrial and Manufacturing EngineeringControl and Systems Engineering
In The Last Decade
Rijun Wang
26 papers receiving 413 citations
Peers
Comparison fields: 5 of 86
- Energy Engineering and Power Technology 26
- Industrial and Manufacturing Engineering 50
- Control and Systems Engineering 94
- Automotive Engineering 33
- Mechanical Engineering 97
Countries citing papers authored by Rijun Wang
This map shows the geographic impact of Rijun Wang'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 Rijun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rijun Wang more than expected).
Fields of papers citing papers by Rijun Wang
This network shows the impact of papers produced by Rijun Wang. 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 Rijun Wang. The network helps show where Rijun Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rijun Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 52 | |
| 9 | 2023 | 19 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 21 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 29 | |
| 14 | 2020 | 4 | |
| 15 | 2019 | 28 | |
| 16 | 2019 | 2 | |
| 17 | 2017 | 27 | |
| 18 | 2016 | 1 | |
| 19 | A composite disturbance compensation method for airborne platform based on improved disturbance observer | 2015 | 1 |
| 20 | 2006 | 0 |
About Rijun Wang
Rijun Wang is a scholar working on Industrial and Manufacturing Engineering, Metals and Alloys, Geology, Environmental Engineering and Energy Engineering and Power Technology, having authored 32 papers that have together received 426 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (9 papers), Wood and Agarwood Research (7 papers), Remote Sensing and LiDAR Applications (5 papers), Adaptive Control of Nonlinear Systems (4 papers), Fault Detection and Control Systems (3 papers), Advanced Neural Network Applications (3 papers), Advanced Control and Stabilization in Aerospace Systems (3 papers) and Integrated Energy Systems Optimization (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (26 citations), Industrial and Manufacturing Engineering (50 citations), Control and Systems Engineering (94 citations), Automotive Engineering (33 citations) and Mechanical Engineering (97 citations). Rijun Wang has collaborated with scholars based in China, Iraq and Iran. Frequent co-authors include Guowei Cai, Nantian Huang, Dongmin Yu, Junyuan Wang, Shengyuan Wang, Dazhi Yang, Yang Liu, Zhijian Wang, Zhifang Zhao and Changjun Zhao. Their work appears in journals such as Forests, Applied Sciences, International Journal of Electrical Power & Energy Systems, Insight - Non-Destructive Testing and Condition Monitoring and Ceramics International.
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.