Jun Li
Impact in
- Metals and Alloys top 2%
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- Thin-Film Transistor Technologies
- Advanced Memory and Neural Computing
- Semiconductor materials and devices
- Gas Sensing Nanomaterials and Sensors
Papers in
-
- Thin-Film Transistor Technologies 61
- Advanced Memory and Neural Computing 40
- Organic Light-Emitting Diodes Research 32
- Organic Electronics and Photovoltaics 32
- Semiconductor materials and devices 26
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- ZnO doping and properties 45
- Co-authors
- Jianhua Zhang (69 shared papers)Xue-Yin Jiang (50 shared papers)Wenqing Zhu (42 shared papers)Xusheng Wang (16 shared papers)Xueshan Xiao (22 shared papers)Xi Yao (13 shared papers)Yaohua Yang (14 shared papers)Qi Chen (10 shared papers)
In The Last Decade
Jun Li
233 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 123
- Metals and Alloys 192
- Electrical and Electronic Engineering 2.5k
- Polymers and Plastics 602
- Materials Chemistry 1.7k
- Cellular and Molecular Neuroscience 366
Countries citing papers authored by Jun Li
This map shows the geographic impact of Jun Li'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 Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Li more than expected).
Fields of papers citing papers by Jun Li
This network shows the impact of papers produced by Jun Li. 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 Li. The network helps show where Jun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Li, 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 249 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 242 | |
| 2 | 2021 | 109 | |
| 3 | 2017 | 95 | |
| 4 | 2012 | 94 | |
| 5 | 2016 | 88 | |
| 6 | 2019 | 75 | |
| 7 | 2013 | 73 | |
| 8 | 2020 | 66 | |
| 9 | 2013 | 65 | |
| 10 | 2016 | 65 | |
| 11 | 2015 | 64 | |
| 12 | 2012 | 64 | |
| 13 | 2011 | 61 | |
| 14 | 2014 | 60 | |
| 15 | 2023 | 57 | |
| 16 | 2014 | 56 | |
| 17 | 2019 | 56 | |
| 18 | 2006 | 55 | |
| 19 | 2018 | 46 | |
| 20 | 2012 | 46 |
About Jun Li
Jun Li is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Polymers and Plastics, Mechanical Engineering and Biomedical Engineering, having authored 249 papers that have together received 3.9k indexed citations. Recurring topics across this work include Thin-Film Transistor Technologies (61 papers), ZnO doping and properties (45 papers), Advanced Memory and Neural Computing (40 papers), Organic Light-Emitting Diodes Research (32 papers), Organic Electronics and Photovoltaics (32 papers), Semiconductor materials and devices (26 papers), Conducting polymers and applications (24 papers) and Transition Metal Oxide Nanomaterials (22 papers). The work is most often cited by research in Metals and Alloys (192 citations), Electrical and Electronic Engineering (2.5k citations), Polymers and Plastics (602 citations), Materials Chemistry (1.7k citations) and Cellular and Molecular Neuroscience (366 citations). Jun Li has collaborated with scholars based in China, Chile and Australia. Frequent co-authors include Jianhua Zhang, Xue-Yin Jiang, Wenqing Zhu, Xusheng Wang, Xueshan Xiao, Xi Yao, Yaohua Yang, Qi Chen, Chuanxin Huang and Yanxia Li. Their work appears in journals such as IEEE Transactions on Electron Devices, Superlattices and Microstructures, Corrosion Science, Applied Physics Letters and Organic Electronics.
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.