Langhui Wan
Impact in
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- 2D Materials and Applications
- MXene and MAX Phase Materials
- Graphene research and applications
- Machine Learning in Materials Science
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- Molecular Junctions and Nanostructures
- Perovskite Materials and Applications
- Chalcogenide Semiconductor Thin Films
Papers in
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- Molecular Junctions and Nanostructures 6
- Gas Sensing Nanomaterials and Sensors 2
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- 2D Materials and Applications 10
- Graphene research and applications 6
- MXene and MAX Phase Materials 3
- Machine Learning in Materials Science 2
- Co-authors
- Yadong Wei (14 shared papers)Hao Jin (7 shared papers)Jianwei Li (6 shared papers)Hong Guo (5 shared papers)Ying Dai (2 shared papers)Yunjin Yu (5 shared papers)Bin Wang (5 shared papers)Fuming Xu (4 shared papers)
In The Last Decade
Langhui Wan
20 papers receiving 381 citations
Peers
Comparison fields: 5 of 32
- Materials Chemistry 317
- Electrical and Electronic Engineering 193
- Atomic and Molecular Physics, and Optics 101
- Renewable Energy, Sustainability and the Environment 50
- Statistical and Nonlinear Physics 16
Countries citing papers authored by Langhui Wan
This map shows the geographic impact of Langhui Wan'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 Langhui Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Langhui Wan more than expected).
Fields of papers citing papers by Langhui Wan
This network shows the impact of papers produced by Langhui Wan. 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 Langhui Wan. The network helps show where Langhui Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Langhui Wan, 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 | 2017 | 69 | |
| 2 | 2016 | 56 | |
| 3 | 2020 | 47 | |
| 4 | 2019 | 44 | |
| 5 | 2015 | 38 | |
| 6 | 2005 | 37 | |
| 7 | 2008 | 20 | |
| 8 | 2004 | 17 | |
| 9 | 2020 | 11 | |
| 10 | 2005 | 9 | |
| 11 | 2005 | 8 | |
| 12 | 2019 | 5 | |
| 13 | Shot noise of spin current and spin transfer torque | 2013 | 5 |
| 14 | 2019 | 5 | |
| 15 | 2013 | 5 | |
| 16 | 2011 | 3 | |
| 17 | 2006 | 3 | |
| 18 | 2019 | 2 | |
| 19 | 2023 | 2 | |
| 20 | 2015 | 1 |
About Langhui Wan
Langhui Wan is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Mechanics of Materials, having authored 20 papers that have together received 387 indexed citations. Recurring topics across this work include 2D Materials and Applications (10 papers), Quantum and electron transport phenomena (7 papers), Graphene research and applications (6 papers), Molecular Junctions and Nanostructures (6 papers), MXene and MAX Phase Materials (3 papers), Gas Sensing Nanomaterials and Sensors (2 papers), Machine Learning in Materials Science (2 papers) and Mechanical and Optical Resonators (2 papers). The work is most often cited by research in Materials Chemistry (317 citations), Electrical and Electronic Engineering (193 citations), Atomic and Molecular Physics, and Optics (101 citations), Renewable Energy, Sustainability and the Environment (50 citations) and Statistical and Nonlinear Physics (16 citations). Langhui Wan has collaborated with scholars based in China, Hong Kong and Canada. Frequent co-authors include Yadong Wei, Hao Jin, Jianwei Li, Hong Guo, Ying Dai, Yunjin Yu, Bin Wang, Fuming Xu, Jian Wang and Yanxia Xing. Their work appears in journals such as Journal of Materials Chemistry C, Journal of Physics D Applied Physics, The Journal of Physical Chemistry Letters, The Journal of Physical Chemistry C and Physical Review B.
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.