Zhenyao Fang
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- Topological Materials and Phenomena 8
- Condensed Matter Physics top 5%
- Advanced Condensed Matter Physics 2
- Materials Chemistry top 5%
- Graphene research and applications 9
- 2D Materials and Applications 8
- Machine Learning in Materials Science 4
- MXene and MAX Phase Materials 4
- Electronic and Structural Properties of Oxides 3
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- Particle physics theoretical and experimental studies 2
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Journal of the American Chemical Society (1 paper)Physical Review Letters (1 paper)
- Partner nations
- United StatesChinaMexico
In The Last Decade
Zhenyao Fang
20 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Atomic and Molecular Physics, and Optics 945
- Condensed Matter Physics 295
- Materials Chemistry 771
- Electronic, Optical and Magnetic Materials 124
- Acoustics and Ultrasonics 5
Countries citing papers authored by Zhenyao Fang
This map shows the geographic impact of Zhenyao Fang'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 Zhenyao Fang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenyao Fang more than expected).
Fields of papers citing papers by Zhenyao Fang
This network shows the impact of papers produced by Zhenyao Fang. 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 Zhenyao Fang. The network helps show where Zhenyao Fang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Zhenyao Fang, 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 | 2026 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 9 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 1 | |
| 7 | 2025 | 1 | |
| 8 | 2025 | 0 | |
| 9 | 2024 | 33 | |
| 10 | 2024 | 12 | |
| 11 | 2023 | 1 | |
| 12 | 2021 | 6 | |
| 13 | 2020 | 40 | |
| 14 | 2020 | 9 | |
| 15 | Observation of Weyl nodes and Fermi arcs in TaP | 2016 | 5 |
| 16 | 2015 | 106 | |
| 17 | Observation of Weyl nodes in TaAsbreakdown → | 2015 | 779 |
| 18 | 2012 | 43 | |
| 19 | 2004 | 3 | |
| 20 | 1988 | 6 |
About Zhenyao Fang
Zhenyao Fang is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Condensed Matter Physics, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Graphene research and applications (9 papers), 2D Materials and Applications (8 papers), Topological Materials and Phenomena (8 papers), Machine Learning in Materials Science (4 papers), MXene and MAX Phase Materials (4 papers), Electronic and Structural Properties of Oxides (3 papers), Advanced Condensed Matter Physics (2 papers) and Particle physics theoretical and experimental studies (2 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (945 citations), Condensed Matter Physics (295 citations) and Materials Chemistry (771 citations). Zhenyao Fang has collaborated with scholars based in United States, China and Mexico. Frequent co-authors include Xi Dai, Baoliang Lv, M. Shi, Hongming Weng, Lingxiao Zhao, C. E. Matt, Nan Xu, P. Richard, J. Mesot and Hong Ding. Their work appears in journals such as Proceedings of the National Academy of Sciences, 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.