Wang Yao

55.2k total citations · 30 hit papers
215 papers, 41.6k citations indexed

About

Wang Yao is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering. According to data from OpenAlex, Wang Yao has authored 215 papers receiving a total of 41.6k indexed citations (citations by other indexed papers that have themselves been cited), including 135 papers in Materials Chemistry, 93 papers in Atomic and Molecular Physics, and Optics and 92 papers in Electrical and Electronic Engineering. Recurrent topics in Wang Yao's work include 2D Materials and Applications (106 papers), Graphene research and applications (64 papers) and Perovskite Materials and Applications (58 papers). Wang Yao is often cited by papers focused on 2D Materials and Applications (106 papers), Graphene research and applications (64 papers) and Perovskite Materials and Applications (58 papers). Wang Yao collaborates with scholars based in Hong Kong, China and United States. Wang Yao's co-authors include Di Xiao, Xiaodong Xu, Gui‐Bin Liu, Hongyi Yu, Kyle L. Seyler, Qian Niu, Jiaqiang Yan, David Mandrus, Wanxiang Feng and Genevieve Clark and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Wang Yao

204 papers receiving 40.8k citations

Hit Papers

Layer-dependent ferromagnetism in a van ... 2007 2026 2013 2019 2017 2012 2012 2014 2016 1000 2.0k 3.0k 4.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wang Yao Hong Kong 65 35.8k 18.0k 14.4k 6.2k 3.5k 215 41.6k
Xiaodong Xu United States 78 37.5k 1.0× 19.1k 1.1× 13.6k 0.9× 7.5k 1.2× 4.2k 1.2× 231 43.4k
Di Xiao United States 66 33.0k 0.9× 14.3k 0.8× 17.3k 1.2× 8.5k 1.4× 3.0k 0.9× 187 41.5k
Kin Fai Mak United States 58 35.5k 1.0× 18.3k 1.0× 10.6k 0.7× 4.9k 0.8× 6.2k 1.8× 99 41.1k
Pablo Jarillo‐Herrero United States 79 29.9k 0.8× 9.9k 0.6× 19.8k 1.4× 6.3k 1.0× 5.2k 1.5× 177 39.5k
Herre S. J. van der Zant Netherlands 76 14.0k 0.4× 13.2k 0.7× 9.5k 0.7× 3.3k 0.5× 4.2k 1.2× 366 23.9k
Marius Grundmann Germany 76 18.4k 0.5× 16.2k 0.9× 12.6k 0.9× 7.2k 1.2× 3.5k 1.0× 755 28.7k
Cory R. Dean United States 56 17.6k 0.5× 6.2k 0.3× 8.9k 0.6× 2.5k 0.4× 3.5k 1.0× 143 21.4k
David Cobden United States 47 15.8k 0.4× 7.1k 0.4× 6.9k 0.5× 4.3k 0.7× 1.7k 0.5× 91 19.7k
Masakazu Aono Japan 71 8.3k 0.2× 16.4k 0.9× 4.9k 0.3× 2.2k 0.3× 3.3k 0.9× 485 24.5k
Frank H. L. Koppens Spain 66 12.7k 0.4× 11.5k 0.6× 10.8k 0.7× 6.5k 1.1× 12.3k 3.5× 163 26.8k

Countries citing papers authored by Wang Yao

Since Specialization
Citations

This map shows the geographic impact of Wang Yao'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 Wang Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wang Yao more than expected).

Fields of papers citing papers by Wang Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wang Yao. 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 Wang Yao. The network helps show where Wang Yao may publish in the future.

Co-authorship network of co-authors of Wang Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Wang Yao. A scholar is included among the top collaborators of Wang Yao 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 Wang Yao. Wang Yao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Su, Huiting, Dong Zhang, Minya Lu, et al.. (2025). The role of mNGS in the diagnosis of talaromycosis and case series. BMC Infectious Diseases. 25(1). 191–191. 2 indexed citations
2.
Zhai, Dawei, et al.. (2025). Fractional Quantum Anomalous Hall Effect in a Singular Flat Band. Physical Review Letters. 134(19). 196501–196501. 4 indexed citations
3.
Zhai, Dawei, Hongyi Yu, & Wang Yao. (2025). Twistronics and moiré superlattice physics in 2D transition metal dichalcogenides. Reports on Progress in Physics. 88(8). 84501–84501.
4.
Yao, Wang, Beijia Huang, Jialing Song, et al.. (2024). Normalization factor database for life cycle impact assessment in China. Environmental Impact Assessment Review. 105. 107394–107394. 6 indexed citations
5.
Xie, Kang, et al.. (2024). Extreme precipitation trends in Northeast China based on a non-stationary generalized extreme value model. Geoscience Letters. 11(1). 1 indexed citations
7.
Zhu, Jihang, Dawei Zhai, Cong Xiao, & Wang Yao. (2024). Layer Hall counterflow as a model probe of magic-angle twisted bilayer graphene. Physical review. B.. 109(15). 3 indexed citations
8.
Park, Heonjoon, Jiaqi Cai, Eric Anderson, et al.. (2023). Observation of fractionally quantized anomalous Hall effect. Nature. 622(7981). 74–79. 363 indexed citations breakdown →
9.
Zhai, Dawei, Cong Chen, Cong Xiao, & Wang Yao. (2023). Time-reversal even charge hall effect from twisted interface coupling. Nature Communications. 14(1). 1961–1961. 28 indexed citations
10.
Zhang, Yinong, Dmitry Ovchinnikov, Jiayi Zhu, et al.. (2023). Every-other-layer dipolar excitons in a spin-valley locked superlattice. Nature Nanotechnology. 18(5). 501–506. 27 indexed citations
11.
Zhang, Di, et al.. (2023). Single Photon Emitters with Polarization and Orbital Angular Momentum Locking in Monolayer Semiconductors. Nano Letters. 23(9). 3851–3857. 1 indexed citations
12.
Zhai, Dawei, et al.. (2022). Anomalous Magneto-Optical Response and Chiral Interface of Dipolar Excitons at Twisted Valleys. Nano Letters. 22(13). 5466–5472. 7 indexed citations
13.
Tang, Jianju, Hongyi Yu, Chih‐Kang Shih, & Wang Yao. (2021). Moiré excitons at line defects in transition metal dichalcogenides heterobilayers. Comptes Rendus Physique. 22(S4). 53–68. 1 indexed citations
14.
Liu, Yan Fang, Dexiang Tang, Mingxi Zhang, et al.. (2019). Complete mitochondrial genome ofTolypocladiumsp. YFCC 1805002 isolated fromOphiocordyceps sinensisin Baima Snow Mountain, Southwestern China. SHILAP Revista de lepidopterología. 5(1). 171–173. 1 indexed citations
15.
Song, Tiancheng, Matisse Wei-Yuan Tu, Xinghan Cai, et al.. (2019). Voltage Control of a van der Waals Spin-Filter Magnetic Tunnel Junction. Nano Letters. 19(2). 915–920. 136 indexed citations
16.
Song, Tiancheng, Xinghan Cai, Matisse Wei-Yuan Tu, et al.. (2018). Giant tunneling magnetoresistance in spin-filter van der Waals heterostructures. Science. 360(6394). 1214–1218. 962 indexed citations breakdown →
17.
Zhang, Xiao, et al.. (2018). An Advanced Quantum-Resistent Signature Scheme For Cloud Based On Eisenstein Ring. Aberdeen University Research Archive (Aberdeen University). 56(1). 19–34. 1 indexed citations
18.
Yao, Wang. (2012). Response Space Relationship Research Between Landuse Distributing and Surface Water Quality in Beijing. Environmental Monitoring in China. 1 indexed citations
19.
Ross, Jason, Sanfeng Wu, Hongyi Yu, et al.. (2012). Electrical Control of Truly Two-Dimensional Neutral and Charged Excitons in a Monolayer Semiconductor. arXiv (Cornell University). 2 indexed citations
20.
Lu, Hai‐Zhou, et al.. (2009). Predicted emergent spin physics in an ultrathin film of topological insulator. arXiv (Cornell University). 1 indexed citations

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.

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