Jun Li
Impact in
- Metals and Alloys top 5%
-
- Thin-Film Transistor Technologies
- Advanced Memory and Neural Computing
- Organic Light-Emitting Diodes Research
- Gas Sensing Nanomaterials and Sensors
Papers in
-
- Thin-Film Transistor Technologies 57
- Advanced Memory and Neural Computing 37
- Organic Light-Emitting Diodes Research 30
- Gas Sensing Nanomaterials and Sensors 9
-
- Luminescence Properties of Advanced Materials 14
- Co-authors
- Jianhua Zhang (71 shared papers)Xue-Yin Jiang (50 shared papers)Wenqing Zhu (42 shared papers)Xueshan Xiao (35 shared papers)Xusheng Wang (16 shared papers)Yaohua Yang (16 shared papers)Yulai Xu (15 shared papers)Xi Yao (13 shared papers)
In The Last Decade
Jun Li
240 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 91
- Metals and Alloys 105
- Electrical and Electronic Engineering 2.3k
- Materials Chemistry 785
- Electronic, Optical and Magnetic Materials 234
- Mechanical Engineering 484
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 247 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 248 | |
| 2 | 2021 | 127 | |
| 3 | 2017 | 112 | |
| 4 | 2012 | 98 | |
| 5 | 2023 | 96 | |
| 6 | 2016 | 94 | |
| 7 | 2019 | 82 | |
| 8 | 2013 | 78 | |
| 9 | 2020 | 69 | |
| 10 | 2012 | 68 | |
| 11 | 2015 | 68 | |
| 12 | 2016 | 67 | |
| 13 | 2013 | 66 | |
| 14 | 2011 | 65 | |
| 15 | 2014 | 61 | |
| 16 | 2019 | 60 | |
| 17 | 2006 | 59 | |
| 18 | 2014 | 57 | |
| 19 | 2018 | 49 | |
| 20 | 2012 | 46 |
About Jun Li
Jun Li is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Mechanical Engineering, Metals and Alloys and Biomedical Engineering, having authored 247 papers that have together received 4.3k indexed citations. Recurring topics across this work include Thin-Film Transistor Technologies (57 papers), Advanced Memory and Neural Computing (37 papers), Organic Light-Emitting Diodes Research (30 papers), Microstructure and Mechanical Properties of Steels (14 papers), Luminescence Properties of Advanced Materials (14 papers), High Temperature Alloys and Creep (11 papers), Hydrogen embrittlement and corrosion behaviors in metals (10 papers) and Gas Sensing Nanomaterials and Sensors (9 papers). The work is most often cited by research in Metals and Alloys (105 citations), Electrical and Electronic Engineering (2.3k citations), Materials Chemistry (785 citations), Electronic, Optical and Magnetic Materials (234 citations) and Mechanical Engineering (484 citations). Jun Li has collaborated with scholars based in China, Japan and Hong Kong. Frequent co-authors include Jianhua Zhang, Xue-Yin Jiang, Wenqing Zhu, Xueshan Xiao, Xusheng Wang, Yaohua Yang, Yulai Xu, Xi Yao, Qi Chen and Chuanxin Huang. 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.