Jun Dai
Impact in
- Nuclear Energy and Engineering top 10%
- Mechanical Engineering top 10%
- Innovative Energy Harvesting Technologies
- Railway Engineering and Dynamics
Papers in
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- Innovative Energy Harvesting Technologies 7
- Hydraulic and Pneumatic Systems 6
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- Vibration Control and Rheological Fluids 9
- Co-authors
- Ming Gao (14 shared papers)Fan Yang (2 shared papers)Ping Wang (4 shared papers)Jianli Cong (1 shared paper)ping yang wang (1 shared paper)Jianyong Zuo (1 shared paper)Yuhua Sun (4 shared papers)Kaiquan Li (4 shared papers)
In The Last Decade
Jun Dai
42 papers receiving 646 citations
Peers
Comparison fields: 5 of 80
- Nuclear Energy and Engineering 8
- Mechanical Engineering 284
- Civil and Structural Engineering 142
- Structural Biology 7
- Geology 23
Countries citing papers authored by Jun Dai
This map shows the geographic impact of Jun Dai'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 Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Dai more than expected).
Fields of papers citing papers by Jun Dai
This network shows the impact of papers produced by Jun Dai. 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 Dai. The network helps show where Jun Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Dai, 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 81 | |
| 2 | 2021 | 69 | |
| 3 | 2023 | 64 | |
| 4 | 2023 | 44 | |
| 5 | 2020 | 44 | |
| 6 | 2018 | 41 | |
| 7 | 2022 | 31 | |
| 8 | 2021 | 26 | |
| 9 | 2024 | 23 | |
| 10 | 2024 | 19 | |
| 11 | 2024 | 19 | |
| 12 | 2023 | 17 | |
| 13 | 2025 | 17 | |
| 14 | 2017 | 16 | |
| 15 | 2024 | 16 | |
| 16 | 2021 | 14 | |
| 17 | 2021 | 12 | |
| 18 | 2013 | 12 | |
| 19 | 2021 | 12 | |
| 20 | 2025 | 11 |
About Jun Dai
Jun Dai is a scholar working on Mechanical Engineering, Civil and Structural Engineering, Electrical and Electronic Engineering, Biomedical Engineering and Control and Systems Engineering, having authored 44 papers that have together received 665 indexed citations. Recurring topics across this work include Vibration Control and Rheological Fluids (9 papers), Advanced Sensor and Energy Harvesting Materials (8 papers), Innovative Energy Harvesting Technologies (7 papers), Hydraulic and Pneumatic Systems (6 papers), Advanced MEMS and NEMS Technologies (5 papers), Vibration and Dynamic Analysis (5 papers), Integrated Circuits and Semiconductor Failure Analysis (4 papers) and Diamond and Carbon-based Materials Research (3 papers). The work is most often cited by research in Nuclear Energy and Engineering (8 citations), Mechanical Engineering (284 citations), Civil and Structural Engineering (142 citations), Structural Biology (7 citations) and Geology (23 citations). Jun Dai has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Ming Gao, Fan Yang, Ping Wang, Jianli Cong, ping yang wang, Jianyong Zuo, Yuhua Sun, Kaiquan Li, Ye Yao and Jue Huang. Their work appears in journals such as Small, Journal of Intelligent Material Systems and Structures, Smart Materials and Structures, Journal of Microelectromechanical Systems and IEEE Transactions on Instrumentation and Measurement.
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.