Hong Yao

10.9k total citations · 3 hit papers
138 papers, 7.1k citations indexed

About

Hong Yao is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Materials Chemistry. According to data from OpenAlex, Hong Yao has authored 138 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Atomic and Molecular Physics, and Optics, 75 papers in Condensed Matter Physics and 34 papers in Materials Chemistry. Recurrent topics in Hong Yao's work include Physics of Superconductivity and Magnetism (56 papers), Advanced Condensed Matter Physics (51 papers) and Topological Materials and Phenomena (47 papers). Hong Yao is often cited by papers focused on Physics of Superconductivity and Magnetism (56 papers), Advanced Condensed Matter Physics (51 papers) and Topological Materials and Phenomena (47 papers). Hong Yao collaborates with scholars based in China, United States and Japan. Hong Yao's co-authors include Steven A. Kivelson, Shao-Kai Jian, Yi‐Fan Jiang, Zixiang Li, Shinsei Ryu, Wei-Feng Tsai, Jiangping Hu, Chen Fang, Hong‐Chen Jiang and Leon Balents and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Hong Yao

135 papers receiving 7.0k citations

Hit Papers

Experimental observation ... 2008 2026 2014 2020 2016 2008 2017 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Yao China 44 4.9k 3.7k 2.3k 1.6k 404 138 7.1k
Erez Berg Israel 45 8.3k 1.7× 5.6k 1.5× 2.2k 1.0× 1.7k 1.1× 327 0.8× 171 10.6k
Dung‐Hai Lee United States 46 4.2k 0.9× 4.7k 1.3× 1.6k 0.7× 2.7k 1.8× 600 1.5× 151 7.4k
Tao Xiang China 49 4.1k 0.9× 6.1k 1.6× 971 0.4× 3.4k 2.2× 250 0.6× 238 8.4k
Cenke Xu United States 41 4.5k 0.9× 3.6k 1.0× 1.2k 0.5× 984 0.6× 103 0.3× 137 6.0k
Matthias Vojta Germany 44 4.5k 0.9× 6.9k 1.9× 818 0.4× 3.3k 2.1× 441 1.1× 204 8.8k
Patrick A. Lee United States 30 5.8k 1.2× 7.2k 1.9× 1.5k 0.6× 2.9k 1.8× 984 2.4× 54 9.6k
Olivier Parcollet France 41 3.4k 0.7× 5.2k 1.4× 1.1k 0.5× 2.7k 1.7× 371 0.9× 93 6.8k
Piers Coleman United States 49 6.4k 1.3× 9.3k 2.5× 1.2k 0.5× 4.4k 2.8× 843 2.1× 211 11.8k
Congjun Wu United States 39 3.9k 0.8× 2.9k 0.8× 1.1k 0.5× 1.2k 0.7× 153 0.4× 114 5.3k
Ronny Thomale Germany 59 9.2k 1.9× 6.6k 1.8× 2.4k 1.0× 2.6k 1.7× 493 1.2× 232 12.4k

Countries citing papers authored by Hong Yao

Since Specialization
Citations

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

Fields of papers citing papers by Hong Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Hong Yao. A scholar is included among the top collaborators of Hong 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 Hong Yao. Hong 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.
Li, L., et al.. (2025). Energy-saving optimization of air-conditioning water system based on machine learning and improved bat algorithm. Energy and Buildings. 332. 115333–115333. 4 indexed citations
2.
Xu, Mian, Zhongyue Zhou, Xianqing Zhu, et al.. (2024). Insight into the enhancement mechanism of levoglucosan production from biomass pyrolysis by deep eutectic solvent fractionation. Proceedings of the Combustion Institute. 40(1-4). 105299–105299. 4 indexed citations
3.
Zhang, Shi‐Xin, Jonathan Allcock, Shuo Liu, et al.. (2023). TensorCircuit: a Quantum Software Framework for the NISQ Era. Quantum. 7. 912–912. 71 indexed citations
4.
Zhang, Shi‐Xin, et al.. (2023). Universal Kardar-Parisi-Zhang scaling in noisy hybrid quantum circuits. Physical review. B.. 107(20). 21 indexed citations
5.
Zhang, Shi‐Xin, Shi‐Xin Zhang, Chang‐Yu Hsieh, et al.. (2023). Variational Quantum‐Neural Hybrid Error Mitigation. Advanced Quantum Technologies. 6(10). 8 indexed citations
6.
Zhang, Shi‐Xin, et al.. (2023). Automatic differentiable Monte Carlo: Theory and application. Physical Review Research. 5(3). 9 indexed citations
7.
Hu, Lili, Yuzhong Chen, Kang Xu, et al.. (2023). Observation of a magnetic phase transition in monolayer NiPS3. Physical review. B.. 107(22). 8 indexed citations
8.
Zhang, Shi‐Xin, Chang‐Yu Hsieh, Shengyu Zhang, & Hong Yao. (2022). Differentiable quantum architecture search. Quantum Science and Technology. 7(4). 45023–45023. 86 indexed citations
9.
Li, Zi-Xiang, et al.. (2022). Robustness of antiferromagnetism in the Su-Schrieffer-Heeger Hubbard model. Physical review. B.. 106(8). 23 indexed citations
10.
Bao, Changhua, Hong‐Yun Zhang, Teng Zhang, et al.. (2021). Experimental Evidence of Chiral Symmetry Breaking in Kekulé-Ordered Graphene. Physical Review Letters. 126(20). 206804–206804. 88 indexed citations
11.
Yang, Chao, Yi Liu, Yang Wang, et al.. (2019). Intermediate bosonic metallic state in the superconductor-insulator transition. Science. 366(6472). 1505–1509. 102 indexed citations
12.
Que, Ronghui, Maolin Li, Hong Yao, et al.. (2019). Unusual Effect of Trace Water on the Structure and Activity of NixCo1−x Electrocatalysts for the Methanol Oxidation Reaction. ChemSusChem. 13(5). 964–973. 15 indexed citations
13.
Qiao, Shuang, Xintong Li, Naizhou Wang, et al.. (2018). Mottness collapse in 1T-TaS 2-x Se x transition metal dichalcogenide: an interplay between localized and itinerant orbitals. SHILAP Revista de lepidopterología. 2018. 26 indexed citations
14.
Li, Zixiang, Abolhassan Vaezi, Christian B. Mendl, & Hong Yao. (2017). Emergent Spacetime Supersymmetry at Superconducting Quantum Criticality of Single Dirac Cone. arXiv (Cornell University). 2019. 3 indexed citations
15.
Xu, Yang, J. K. Dong, Dan Zhao, et al.. (2016). Bulk Fermi Surface of Charge-Neutral Excitations inSmB6or Not: A Heat-Transport Study. Physical Review Letters. 116(24). 246403–246403. 28 indexed citations
16.
Jian, Shao-Kai, Yi‐Fan Jiang, & Hong Yao. (2015). Emergent space-time supersymmetry in 3D Weyl semimetals and 2D Dirac semimetals. Bulletin of the American Physical Society. 2015. 3 indexed citations
17.
Ding, Hao, Eryin Wang, А. В. Федоров, et al.. (2014). Fully gapped topological surface states in Bi$_2$Se$_3$ films induced by a $\textit{d}$-wave high-temperature superconductor. Bulletin of the American Physical Society. 2014. 1 indexed citations
18.
Yao, Hong & Fan Yang. (2013). Topological Odd-Parity Superconductivity Close to Type-II 2D Van Hove Singularities. Bulletin of the American Physical Society. 2014. 1 indexed citations
19.
Jiang, Hong‐Chen, Hong Yao, & Leon Balents. (2012). Spin liquid ground state of the spin-12squareJ1-J2Heisenberg model. Physical Review B. 86(2). 265 indexed citations
20.
Yao, Hong, et al.. (2002). Exact solution of anisotropic antiferromagnetic alternating Heisenberg–Ising spin chain. Solid State Communications. 121(12). 687–690. 12 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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