Hui‐Hai Zhao

1.0k total citations
21 papers, 436 citations indexed

About

Hui‐Hai Zhao is a scholar working on Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Artificial Intelligence. According to data from OpenAlex, Hui‐Hai Zhao has authored 21 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Atomic and Molecular Physics, and Optics, 13 papers in Condensed Matter Physics and 7 papers in Artificial Intelligence. Recurrent topics in Hui‐Hai Zhao's work include Physics of Superconductivity and Magnetism (13 papers), Quantum many-body systems (13 papers) and Quantum and electron transport phenomena (8 papers). Hui‐Hai Zhao is often cited by papers focused on Physics of Superconductivity and Magnetism (13 papers), Quantum many-body systems (13 papers) and Quantum and electron transport phenomena (8 papers). Hui‐Hai Zhao collaborates with scholars based in China, United States and Japan. Hui‐Hai Zhao's co-authors include Tao Xiang, Z. Y. Xie, Qiaoni Chen, Z. C. Wei, Mingpu Qin, Satoshi Morita, Masatoshi Imada, Cenke Xu, Guangming Zhang and Kota Ido and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Nature Communications.

In The Last Decade

Hui‐Hai Zhao

20 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hui‐Hai Zhao China 10 344 269 76 69 47 21 436
Qiaoni Chen China 8 426 1.2× 356 1.3× 93 1.2× 42 0.6× 60 1.3× 15 507
Philipp T. Dumitrescu United States 12 528 1.5× 287 1.1× 15 0.2× 72 1.0× 150 3.2× 15 613
Zhaoyu Han United States 8 231 0.7× 127 0.5× 36 0.5× 118 1.7× 24 0.5× 20 352
Wen-Yuan Liu China 9 310 0.9× 207 0.8× 7 0.1× 58 0.8× 29 0.6× 29 391
Wojciech De Roeck Belgium 7 760 2.2× 244 0.9× 24 0.3× 97 1.4× 328 7.0× 8 790
Michael Schecter United States 13 779 2.3× 343 1.3× 12 0.2× 91 1.3× 155 3.3× 19 844
Phillip Weinberg United States 10 696 2.0× 227 0.8× 8 0.1× 228 3.3× 209 4.4× 14 786
Stanimir Kondov United States 8 713 2.1× 266 1.0× 14 0.2× 63 0.9× 164 3.5× 12 751
Rubem Mondaini China 14 649 1.9× 339 1.3× 7 0.1× 54 0.8× 220 4.7× 49 718
Titas Chanda Poland 14 583 1.7× 97 0.4× 12 0.2× 314 4.6× 204 4.3× 35 665

Countries citing papers authored by Hui‐Hai Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Hui‐Hai Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hui‐Hai Zhao. 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 Hui‐Hai Zhao. The network helps show where Hui‐Hai Zhao may publish in the future.

Co-authorship network of co-authors of Hui‐Hai Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Hui‐Hai Zhao. A scholar is included among the top collaborators of Hui‐Hai Zhao 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 Hui‐Hai Zhao. Hui‐Hai Zhao 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.
Gao, Ran, Feng Wu, Hantao Sun, et al.. (2025). The effects of disorder in superconducting materials on qubit coherence. Nature Communications. 16(1). 3620–3620.
2.
Wang, Tenghui, Xizheng Ma, Gengyan Zhang, et al.. (2024). Efficient Initialization of Fluxonium Qubits based on Auxiliary Energy Levels. Physical Review Letters. 132(23). 230601–230601. 9 indexed citations
3.
Sun, Hantao, Feng Wu, Hsiang‐Sheng Ku, et al.. (2023). Characterization of Loss Mechanisms in a Fluxonium Qubit. Physical Review Applied. 20(3). 10 indexed citations
4.
Huang, Cupjin, Tenghui Wang, Feng Wu, et al.. (2023). Quantum Instruction Set Design for Performance. Physical Review Letters. 130(7). 70601–70601. 15 indexed citations
5.
Ni, Xiaotong, Hui‐Hai Zhao, Lei Wang, Feng Wu, & Jianxin Chen. (2022). Integrating quantum processor device and control optimization in a gradient-based framework. npj Quantum Information. 8(1). 1 indexed citations
6.
Gao, Ran, Hsiang‐Sheng Ku, Hao Deng, et al.. (2022). Ultrahigh Kinetic Inductance Superconducting Materials from Spinodal Decomposition. Advanced Materials. 34(32). e2201268–e2201268. 9 indexed citations
7.
Sun, Zhe, Jordi Solé‐Casals, Andrzej Cichocki, et al.. (2022). Data augmentation for Convolutional LSTM based brain computer interface system. Applied Soft Computing. 122. 108811–108811. 6 indexed citations
8.
Ding, Dawei, Hsiang‐Sheng Ku, Yaoyun Shi, & Hui‐Hai Zhao. (2021). Free-mode removal and mode decoupling for simulating general superconducting quantum circuits. Physical review. B.. 103(17). 5 indexed citations
9.
Chen, Bin-Bin, Yuan Gao, Yuzhi Liu, et al.. (2020). Automatic differentiation for second renormalization of tensor networks. Physical review. B.. 101(22). 26 indexed citations
10.
Morita, Satoshi, Ryo Igarashi, Hui‐Hai Zhao, & Naoki Kawashima. (2018). Tensor renormalization group with randomized singular value decomposition. Physical review. E. 97(3). 33310–33310. 24 indexed citations
11.
Huang, Rui-Zhen, Haijun Liao, Zhiyuan Liu, et al.. (2018). Generalized Lanczos method for systematic optimization of tensor network states. Chinese Physics B. 27(7). 70501–70501. 8 indexed citations
12.
Xie, Haidong, Rui-Zhen Huang, Xun-Wang Yan, et al.. (2018). Reorthonormalization of Chebyshev matrix product states for dynamical correlation functions. Physical review. B.. 97(7). 18 indexed citations
13.
Zhao, Hui‐Hai, Kota Ido, Satoshi Morita, & Masatoshi Imada. (2017). Variational Monte Carlo method for fermionic models combined with tensor networks and applications to the hole-doped two-dimensional Hubbard model. Physical review. B.. 96(8). 31 indexed citations
14.
Zhao, Hui‐Hai, Z. Y. Xie, Tao Xiang, & Masatoshi Imada. (2016). Tensor network algorithm by coarse-graining tensor renormalization on finite periodic lattices. Physical review. B.. 93(12). 22 indexed citations
15.
Qin, Mingpu, Qiaoni Chen, Z. Y. Xie, et al.. (2014). Partial long-range order in antiferromagnetic Potts models. Physical Review B. 90(14). 7 indexed citations
16.
Qin, Mingpu, Jing Chen, Qiaoni Chen, et al.. (2013). Partial Order in Potts Models on the Generalized Decorated Square Lattice. Chinese Physics Letters. 30(7). 76402–76402. 8 indexed citations
17.
Zhao, Hui‐Hai, Cenke Xu, Qiaoni Chen, et al.. (2012). Plaquette order and deconfined quantum critical point in the spin-1 bilinear-biquadratic Heisenberg model on the honeycomb lattice. Physical Review B. 85(13). 53 indexed citations
18.
Chen, Qiaoni, Mingpu Qin, Jialin Chen, et al.. (2011). Partial Order and Finite-Temperature Phase Transitions in Potts Models on Irregular Lattices. Physical Review Letters. 107(16). 165701–165701. 30 indexed citations
19.
Zhao, Hui‐Hai, et al.. (2010). Renormalization of tensor-network states. Physical Review B. 81(17). 147 indexed citations
20.
Xie, Z. Y., et al.. (2010). Investigation of the Potts Model on Triangular Lattices by the Second Renormalization of Tensor Network States. Chinese Physics Letters. 27(7). 76402–76402. 5 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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