Jun Dai
Impact in
- Nuclear Energy and Engineering top 10%
- Mechanical Engineering top 10%
- Innovative Energy Harvesting Technologies
- Railway Engineering and Dynamics
Papers in
-
- Advanced MEMS and NEMS Technologies 4
- Electrochemical sensors and biosensors 3
- Integrated Circuits and Semiconductor Failure Analysis 3
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- Innovative Energy Harvesting Technologies 7
- Hydraulic and Pneumatic Systems 6
- Co-authors
- Mingyuan Gao (14 shared papers)Fan Yang (2 shared papers)Ping Wang (4 shared papers)Jianli Cong (1 shared paper)Jianyong Zuo (1 shared paper)Ping Wang (1 shared paper)Yuhua Sun (4 shared papers)Jue Huang (2 shared papers)
In The Last Decade
Jun Dai
38 papers receiving 532 citations
Peers
Comparison fields: 5 of 74
- Nuclear Energy and Engineering 8
- Mechanical Engineering 267
- Civil and Structural Engineering 133
- Geology 24
- Structural Biology 5
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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2021 | 64 | |
| 3 | 2023 | 45 | |
| 4 | 2020 | 43 | |
| 5 | 2018 | 38 | |
| 6 | 2023 | 34 | |
| 7 | 2021 | 24 | |
| 8 | 2022 | 22 | |
| 9 | 2024 | 17 | |
| 10 | 2023 | 16 | |
| 11 | 2017 | 16 | |
| 12 | 2021 | 13 | |
| 13 | 2021 | 11 | |
| 14 | 2013 | 11 | |
| 15 | 2024 | 11 | |
| 16 | 2021 | 11 | |
| 17 | 2024 | 10 | |
| 18 | 2024 | 10 | |
| 19 | 2025 | 9 | |
| 20 | 2021 | 9 |
About Jun Dai
Jun Dai is a scholar working on Electrical and Electronic Engineering, Mechanical Engineering, Biomedical Engineering, Civil and Structural Engineering and Materials Chemistry, having authored 42 papers that have together received 548 indexed citations. Recurring topics across this work include Vibration Control and Rheological Fluids (9 papers), Advanced Sensor and Energy Harvesting Materials (9 papers), Innovative Energy Harvesting Technologies (7 papers), Hydraulic and Pneumatic Systems (6 papers), Vibration and Dynamic Analysis (5 papers), Advanced MEMS and NEMS Technologies (4 papers), Electrochemical sensors and biosensors (3 papers) and Integrated Circuits and Semiconductor Failure Analysis (3 papers). The work is most often cited by research in Nuclear Energy and Engineering (8 citations), Mechanical Engineering (267 citations), Civil and Structural Engineering (133 citations), Geology (24 citations) and Structural Biology (5 citations). Jun Dai has collaborated with scholars based in China, Australia and Japan. Frequent co-authors include Mingyuan Gao, Fan Yang, Ping Wang, Jianli Cong, Jianyong Zuo, Ping Wang, Yuhua Sun, Jue Huang, Kaiquan Li and Rui Zhao. Their work appears in journals such as Small, Smart Materials and Structures, Journal of Intelligent Material Systems and Structures, IEEE Transactions on Instrumentation and Measurement and IEEE/ASME Transactions on Mechatronics.
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.