Kai-Le Shi
Impact in
- Condensed Matter Physics top 5%
- Theoretical and Computational Physics
- Advanced Condensed Matter Physics
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- Magnetic properties of thin films
- Quantum many-body systems
- Quantum and electron transport phenomena
Papers in
-
- Graphene research and applications 8
- Boron and Carbon Nanomaterials Research 2
-
- Magnetic properties of thin films 4
- Co-authors
- Wei Jiang (13 shared papers)An‐Bang Guo (2 shared papers)Yaning Wang (1 shared paper)Yingying Yang (1 shared paper)Kai Wang (1 shared paper)Wei‐Chen Wu (2 shared papers)Yanli Zhang (1 shared paper)Nan Si (2 shared papers)
- Journals
- Physica A Statistical Mechanics and its Applications (3 papers)Journal of Materials Science (2 papers)Carbon (1 paper)Journal of Magnetism and Magnetic Materials (1 paper)Physica Scripta (3 papers)
- Partner nations
- China
In The Last Decade
Kai-Le Shi
13 papers receiving 341 citations
Peers
Comparison fields: 5 of 26
- Condensed Matter Physics 197
- Atomic and Molecular Physics, and Optics 174
- Materials Chemistry 195
- Electronic, Optical and Magnetic Materials 62
- Acoustics and Ultrasonics 3
Countries citing papers authored by Kai-Le Shi
This map shows the geographic impact of Kai-Le Shi'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 Kai-Le Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai-Le Shi more than expected).
Fields of papers citing papers by Kai-Le Shi
This network shows the impact of papers produced by Kai-Le Shi. 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 Kai-Le Shi. The network helps show where Kai-Le Shi may publish in the future.
Co-authors
The 12 scholars most cited alongside Kai-Le Shi, 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 | 2016 | 125 | |
| 2 | 2018 | 55 | |
| 3 | 2018 | 46 | |
| 4 | 2018 | 29 | |
| 5 | 2024 | 16 | |
| 6 | 2022 | 14 | |
| 7 | 2024 | 14 | |
| 8 | 2023 | 11 | |
| 9 | 2021 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2023 | 6 | |
| 12 | 2025 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2023 | 0 | |
| 15 | 2026 | 0 |
About Kai-Le Shi
Kai-Le Shi is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics, Condensed Matter Physics, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering, having authored 15 papers that have together received 344 indexed citations. Recurring topics across this work include Graphene research and applications (8 papers), Theoretical and Computational Physics (5 papers), Magnetic properties of thin films (4 papers), Advanced Condensed Matter Physics (3 papers), Magnetic and transport properties of perovskites and related materials (3 papers), Advanced Memory and Neural Computing (2 papers), Boron and Carbon Nanomaterials Research (2 papers) and Advanced Thermodynamics and Statistical Mechanics (1 paper). The work is most often cited by research in Condensed Matter Physics (197 citations), Atomic and Molecular Physics, and Optics (174 citations), Materials Chemistry (195 citations), Electronic, Optical and Magnetic Materials (62 citations) and Acoustics and Ultrasonics (3 citations). Kai-Le Shi has collaborated with scholars based in China. Frequent co-authors include Wei Jiang, An‐Bang Guo, Yaning Wang, Yingying Yang, Kai Wang, Wei‐Chen Wu, Yanli Zhang, Nan Si, Zan Wang and Jing Meng. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Journal of Materials Science, Carbon, Journal of Magnetism and Magnetic Materials and Physica Scripta.
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.