Rijun Wang
Impact in
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- Industrial Vision Systems and Defect Detection
Papers in
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- Industrial Vision Systems and Defect Detection 9
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- Adaptive Control of Nonlinear Systems 5
- Fault Detection and Control Systems 3
- Co-authors
- Guowei Cai (4 shared papers)Nantian Huang (4 shared papers)Dongmin Yu (2 shared papers)Junyuan Wang (4 shared papers)Shengyuan Wang (1 shared paper)Yang Liu (1 shared paper)Dazhi Yang (1 shared paper)Yue Bai (3 shared papers)
In The Last Decade
Rijun Wang
29 papers receiving 439 citations
Peers
Comparison fields: 5 of 82
- Energy Engineering and Power Technology 26
- Industrial and Manufacturing Engineering 55
- Control and Systems Engineering 96
- Automotive Engineering 33
- Electrical and Electronic Engineering 153
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-authors
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
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 77 | |
| 2 | 2022 | 67 | |
| 3 | 2023 | 52 | |
| 4 | 2022 | 52 | |
| 5 | 2021 | 31 | |
| 6 | 2019 | 28 | |
| 7 | 2017 | 27 | |
| 8 | 2023 | 23 | |
| 9 | 2023 | 20 | |
| 10 | 2024 | 15 | |
| 11 | 2020 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2024 | 4 | |
| 14 | 2025 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2020 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2016 | 3 | |
| 20 | 2015 | 3 |
About Rijun Wang
Rijun Wang is a scholar working on Industrial and Manufacturing Engineering, Control and Systems Engineering, Organic Chemistry, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 443 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (9 papers), Wood and Agarwood Research (7 papers), Adaptive Control of Nonlinear Systems (5 papers), Remote Sensing and LiDAR Applications (5 papers), Advanced Neural Network Applications (4 papers), Advanced Control and Stabilization in Aerospace Systems (3 papers), Fault Detection and Control Systems (3 papers) and Electric Vehicles and Infrastructure (2 papers). The work is most often cited by research in Energy Engineering and Power Technology (26 citations), Industrial and Manufacturing Engineering (55 citations), Control and Systems Engineering (96 citations), Automotive Engineering (33 citations) and Electrical and Electronic Engineering (153 citations). Rijun Wang has collaborated with scholars based in China, Vietnam and Iran. Frequent co-authors include Guowei Cai, Nantian Huang, Dongmin Yu, Junyuan Wang, Shengyuan Wang, Yang Liu, Dazhi Yang, Yue Bai, Zhijian Wang and Zhifang Zhao. Their work appears in journals such as Forests, International Journal of Electrical Power & Energy Systems, Insight - Non-Destructive Testing and Condition Monitoring, Applied Sciences and Frontiers in Plant Science.
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.