Junwei Liu
- Materials Chemistry top 1%
- Atomic and Molecular Physics, and Optics top 0.5%
- Condensed Matter Physics top 0.5%
- Electrical and Electronic Engineering top 5%
- Electronic, Optical and Magnetic Materials top 5%
- Topics
- Topological Materials and Phenomena (37 papers)Graphene research and applications (26 papers)2D Materials and Applications (23 papers)
- Journals
- NatureSciencePhysical Review Letters
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Junwei Liu
96 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Materials Chemistry 4.2k
- Atomic and Molecular Physics, and Optics 4.0k
- Condensed Matter Physics 1.9k
- Electrical and Electronic Engineering 1.2k
- Electronic, Optical and Magnetic Materials 804
Countries citing papers authored by Junwei Liu
This map shows the geographic impact of Junwei Liu'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 Junwei Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junwei Liu more than expected).
Fields of papers citing papers by Junwei Liu
This network shows the impact of papers produced by Junwei Liu. 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 Junwei Liu. The network helps show where Junwei Liu may publish in the future.
Co-authorship network of co-authors of Junwei Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Junwei Liu. A scholar is included among the top collaborators of Junwei Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Junwei Liu. Junwei Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | Manipulation of the altermagnetic order in CrSb via crystal symmetrybreakdown → | 64 |
| 5 | 6 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 7 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 7 | |
| 16 | 84 | |
| 17 | Self-learning Monte Carlo Method with Deep Neural Networks | 1 |
| 18 | 4 | |
| 19 | Self-Learning Monte Carlo Method in Fermion Systems | 2 |
| 20 | Spin-filtered Edge States with an Electrically Tunable Gap in a Two-Dimensional Topological Crystallin Insulator | 3 |
About Junwei Liu
Junwei Liu is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Materials Chemistry, having authored 102 papers that have together received 6.5k indexed citations. Recurring topics across this work include Topological Materials and Phenomena (37 papers), Graphene research and applications (26 papers) and 2D Materials and Applications (23 papers). The work is most often cited by research in Condensed Matter Physics (1.9k citations), Atomic and Molecular Physics, and Optics (4.0k citations) and Materials Chemistry (4.2k citations). Junwei Liu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Liang Fu, Xiaofeng Qian, Ju Li, Wenhui Duan, Timothy H. Hsieh, Arun Bansil, Hsin Lin, Yang Qi, Zi Yang Meng and Xi Dai. Their work appears in journals such as Nature, Science 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.