Kang L. Wang
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- Topological Materials and Phenomena 57
- Magnetic properties of thin films 49
- Quantum and electron transport phenomena 44
- Condensed Matter Physics top 1%
- Advanced Condensed Matter Physics 28
- Physics of Superconductivity and Magnetism 17
- Materials Chemistry top 0.5%
- Graphene research and applications 41
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- Advanced Memory and Neural Computing 16
- Advancements in Semiconductor Devices and Circuit Design 13
- Co-authors
- Minsheng WangRichard B. KanerSong HanScott GiljeWeisheng ZhaoXufeng KouGuoqiang YuXiaoyang Lin
- Journals
- Nature (1 paper)Journal of the American Chemical Society (1 paper)Physical Review Letters (3 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Kang L. Wang
141 papers receiving 8.0k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Atomic and Molecular Physics, and Optics 4.2k
- Condensed Matter Physics 1.5k
- Materials Chemistry 4.9k
- Electronic, Optical and Magnetic Materials 1.7k
- Electrical and Electronic Engineering 3.0k
Countries citing papers authored by Kang L. Wang
This map shows the geographic impact of Kang L. Wang'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 Kang L. Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang L. Wang more than expected).
Fields of papers citing papers by Kang L. Wang
This network shows the impact of papers produced by Kang L. Wang. 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 Kang L. Wang. The network helps show where Kang L. Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kang L. Wang, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 26 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 8 | |
| 9 | 2023 | 6 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 0 | |
| 12 | 2022 | 24 | |
| 13 | 2021 | 4 | |
| 14 | 2021 | 17 | |
| 15 | 2021 | 100 | |
| 16 | 2020 | 36 | |
| 17 | 2020 | 1 | |
| 18 | 2020 | 27 | |
| 19 | Electrical Spin Injection and Detection in Mn 5 Ge 3 /Ge/Mn 5 Ge 3 Nanowire Transistors | 2013 | 1 |
| 20 | Non-volatile graphene channel memory (NVGM) for flexible electronics and 3D multi-stack ultra-high-density data storages | 2011 | 3 |
About Kang L. Wang
Kang L. Wang is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 150 papers that have together received 8.1k indexed citations. Recurring topics across this work include Topological Materials and Phenomena (57 papers), Magnetic properties of thin films (49 papers), Quantum and electron transport phenomena (44 papers), Graphene research and applications (41 papers), Advanced Condensed Matter Physics (28 papers), Physics of Superconductivity and Magnetism (17 papers), Advanced Memory and Neural Computing (16 papers) and Advancements in Semiconductor Devices and Circuit Design (13 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (4.2k citations), Condensed Matter Physics (1.5k citations) and Materials Chemistry (4.9k citations). Kang L. Wang has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Minsheng Wang, Richard B. Kaner, Song Han, Scott Gilje, Weisheng Zhao, Xufeng Kou, Guoqiang Yu, Xiaoyang Lin, Wei Yang and Wanjun Jiang. Their work appears in journals such as Nature, Journal of the American Chemical Society and Physical Review 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.