Jun Yao
Impact in
- Materials Chemistry top 1%
- Graphene research and applications
- Carbon and Quantum Dots Applications
- 2D Materials and Applications
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- Supercapacitor Materials and Fabrication
Papers in
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- Photonic and Optical Devices 15
- Advanced MEMS and NEMS Technologies 11
- Advanced Memory and Neural Computing 9
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- Advanced optical system design 11
- Plasmonic and Surface Plasmon Research 9
Jun Yao
126 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Materials Chemistry 3.6k
- Electronic, Optical and Magnetic Materials 1.1k
- Electrical and Electronic Engineering 2.7k
- Biomedical Engineering 2.0k
- Polymers and Plastics 396
Countries citing papers authored by Jun Yao
This map shows the geographic impact of Jun Yao'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 Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Yao more than expected).
Fields of papers citing papers by Jun Yao
This network shows the impact of papers produced by Jun Yao. 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 Yao. The network helps show where Jun Yao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jun Yao, 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 | 5 | |
| 2 | 2023 | 18 | |
| 3 | 2023 | 20 | |
| 4 | 2023 | 7 | |
| 5 | 2021 | 12 | |
| 6 | 2021 | 24 | |
| 7 | 2019 | 69 | |
| 8 | 2019 | 103 | |
| 9 | 2018 | 89 | |
| 10 | 2017 | 5 | |
| 11 | 2017 | 19 | |
| 12 | 2014 | 7 | |
| 13 | Application of mixed BEM and FDM in numerical simulation of ice-breaking by air cushion vehicle | 2013 | 1 |
| 14 | 2012 | 159 | |
| 15 | 2012 | 214 | |
| 16 | 2011 | 33 | |
| 17 | Characterization of ultra-precision machined surfaces with power spectral density | 2010 | 3 |
| 18 | Growth of graphene from solid carbon sources Hit paper breakdown → | 2010 | 1165 |
| 19 | 2006 | 88 | |
| 20 | Genes Differentially Expressed in Human Lung Fibroblast Cells Transformed by Glycidyl Methacrylate | 2004 | 7 |
About Jun Yao
Jun Yao is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials, having authored 129 papers that have together received 6.0k indexed citations. Recurring topics across this work include Graphene research and applications (22 papers), Advanced biosensing and bioanalysis techniques (19 papers), Photonic and Optical Devices (15 papers), Advanced optical system design (11 papers), Advanced MEMS and NEMS Technologies (11 papers), Advanced Memory and Neural Computing (9 papers), Plasmonic and Surface Plasmon Research (9 papers) and Advanced Nanomaterials in Catalysis (8 papers). The work is most often cited by research in Materials Chemistry (3.6k citations), Electronic, Optical and Magnetic Materials (1.1k citations), Electrical and Electronic Engineering (2.7k citations), Biomedical Engineering (2.0k citations) and Polymers and Plastics (396 citations). Jun Yao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include James M. Tour, Mei Yang, Zhengzong Sun, Zheng Yan, Yixiang Duan, Yu Zhu, Zhong Jin, Carter Kittrell, Douglas Natelson and Lin Zhong. Their work appears in journals such as Microelectronic Engineering, Optics Express, Journal of Micromechanics and Microengineering, Nano Letters and ACS Nano.
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.