Jun Yan Dai
Impact in
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- Metamaterials and Metasurfaces Applications
- Aerospace Engineering top 0.1%
- Advanced Antenna and Metasurface Technologies
- Antenna Design and Analysis
- Satellite Communication Systems
Papers in
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- Metamaterials and Metasurfaces Applications 65
-
- Advanced Antenna and Metasurface Technologies 55
- Antenna Design and Analysis 54
- Co-authors
- Qiang ChengTie Jun CuiShi JinWankai TangMing Zheng ChenJie ZhaoLei ZhangYong Zeng
- Journals
- IEEE Transactions on Antennas and Propagation (8 papers)Nature Communications (6 papers)Advanced Optical Materials (6 papers)Advanced Materials Technologies (5 papers)Applied Physics Letters (5 papers)
- Partner nations
- ChinaHong KongBangladesh
In The Last Decade
Jun Yan Dai
113 papers receiving 6.5k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Electronic, Optical and Magnetic Materials 3.3k
- Aerospace Engineering 4.2k
- Electrical and Electronic Engineering 3.7k
- Acoustics and Ultrasonics 26
- Biomedical Engineering 657
Countries citing papers authored by Jun Yan Dai
This map shows the geographic impact of Jun Yan 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 Yan 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 Yan Dai more than expected).
Fields of papers citing papers by Jun Yan Dai
This network shows the impact of papers produced by Jun Yan 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 Yan Dai. The network helps show where Jun Yan Dai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Yan 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 3 | |
| 4 | 2025 | 3 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 12 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 13 | |
| 11 | 2024 | 5 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 0 | |
| 14 | 2023 | 4 | |
| 15 | 2023 | 31 | |
| 16 | 2022 | 2 | |
| 17 | 2022 | 1 | |
| 18 | 2020 | 4 | |
| 19 | 2020 | 12 | |
| 20 | 2019 | 55 |
About Jun Yan Dai
Jun Yan Dai is a scholar working on Electronic, Optical and Magnetic Materials, Aerospace Engineering, Electrical and Electronic Engineering, Surfaces, Coatings and Films and Condensed Matter Physics, having authored 127 papers that have together received 6.7k indexed citations. Recurring topics across this work include Metamaterials and Metasurfaces Applications (65 papers), Advanced Antenna and Metasurface Technologies (55 papers), Antenna Design and Analysis (54 papers), Advanced Wireless Communication Technologies (26 papers), Advancements in Photolithography Techniques (11 papers), ZnO doping and properties (7 papers), Energy Harvesting in Wireless Networks (5 papers) and Optical Wireless Communication Technologies (5 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (3.3k citations), Aerospace Engineering (4.2k citations), Electrical and Electronic Engineering (3.7k citations), Acoustics and Ultrasonics (26 citations) and Biomedical Engineering (657 citations). Jun Yan Dai has collaborated with scholars based in China, Hong Kong and Bangladesh. Frequent co-authors include Qiang Cheng, Tie Jun Cui, Shi Jin, Wankai Tang, Ming Zheng Chen, Jie Zhao, Lei Zhang, Yong Zeng, Yu Han and Xiangyu Chen. Their work appears in journals such as IEEE Transactions on Antennas and Propagation, Nature Communications, Advanced Optical Materials, Advanced Materials Technologies and Applied Physics Letters.
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.