Qian Niu
- Atomic and Molecular Physics, and Optics top 0.01%
- Materials Chemistry top 0.05%
- Condensed Matter Physics top 0.05%
- Electrical and Electronic Engineering top 0.5%
- Electronic, Optical and Magnetic Materials top 0.5%
- Topics
- Quantum and electron transport phenomena (129 papers)Topological Materials and Phenomena (112 papers)Graphene research and applications (67 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Qian Niu
274 papers receiving 33.5k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Atomic and Molecular Physics, and Optics 27.8k
- Materials Chemistry 16.2k
- Condensed Matter Physics 8.0k
- Electrical and Electronic Engineering 5.0k
- Electronic, Optical and Magnetic Materials 4.0k
Countries citing papers authored by Qian Niu
This map shows the geographic impact of Qian Niu'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 Qian Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qian Niu more than expected).
Fields of papers citing papers by Qian Niu
This network shows the impact of papers produced by Qian Niu. 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 Qian Niu. The network helps show where Qian Niu may publish in the future.
Co-authorship network of co-authors of Qian Niu
This figure shows the co-authorship network connecting the top 25 collaborators of Qian Niu. A scholar is included among the top collaborators of Qian Niu 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 Qian Niu. Qian Niu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 23 | |
| 3 | 41 | |
| 4 | 41 | |
| 5 | 15 | |
| 6 | 10 | |
| 7 | 29 | |
| 8 | 23 | |
| 9 | 18 | |
| 10 | 14 | |
| 11 | 21 | |
| 12 | 10 | |
| 13 | 81 | |
| 14 | 8 | |
| 15 | Giant and tunable valley degeneracy splitting in MoTe$_2$ | 10 |
| 16 | Topological Classification of Crystalline Insulators with Point Group Symmetry | 1 |
| 17 | Quantum Anomalous Hall Effect in Graphene | 1 |
| 18 | Predicted emergent spin physics in an ultrathin film of topological insulator | 1 |
| 19 | 11 | |
| 20 | Observation of non-exponential decay in quantum tunneling | 1 |
About Qian Niu
Qian Niu is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Materials Chemistry, having authored 282 papers that have together received 34.3k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (129 papers), Topological Materials and Phenomena (112 papers) and Graphene research and applications (67 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (27.8k citations), Condensed Matter Physics (8.0k citations) and Materials Chemistry (16.2k citations). Qian Niu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Di Xiao, Ming-Che Chang, A. H. MacDonald, Wang Yao, Junren Shi, T. Jungwirth, Biao Wu, Yugui Yao, D. J. Thouless and Zhenhua Qiao. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.