Hao Shi

2.8k total citations
52 papers, 1.6k citations indexed

About

Hao Shi is a scholar working on Condensed Matter Physics, Atomic and Molecular Physics, and Optics and Electronic, Optical and Magnetic Materials. According to data from OpenAlex, Hao Shi has authored 52 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Condensed Matter Physics, 25 papers in Atomic and Molecular Physics, and Optics and 15 papers in Electronic, Optical and Magnetic Materials. Recurrent topics in Hao Shi's work include Physics of Superconductivity and Magnetism (25 papers), Advanced Condensed Matter Physics (13 papers) and Cold Atom Physics and Bose-Einstein Condensates (11 papers). Hao Shi is often cited by papers focused on Physics of Superconductivity and Magnetism (25 papers), Advanced Condensed Matter Physics (13 papers) and Cold Atom Physics and Bose-Einstein Condensates (11 papers). Hao Shi collaborates with scholars based in United States, China and Switzerland. Hao Shi's co-authors include Shiwei Zhang, Mingpu Qin, Ettore Vitali, Deyi Zhang, Binbin Yang, Yi Wang, Simone Chiesa, Steven R. White, Claudius Hubig and Chia-Min Chung and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and The Journal of Physical Chemistry B.

In The Last Decade

Hao Shi

51 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hao Shi United States	21	732	665	516	390	316	52	1.6k
Krisztián Palotás Hungary	23	1.4k 1.8×	700 1.1×	400 0.8×	578 1.5×	813 2.6×	87	2.1k
Jacek Szczytko Poland	29	1.0k 1.4×	364 0.5×	779 1.5×	617 1.6×	1.2k 3.9×	120	2.5k
Petra E. Jönsson Sweden	23	655 0.9×	987 1.5×	557 1.1×	152 0.4×	613 1.9×	61	1.6k
Xiaoping Yang China	22	549 0.8×	599 0.9×	774 1.5×	669 1.7×	1.1k 3.4×	114	2.0k
A. Rufoloni Italy	22	216 0.3×	757 1.1×	561 1.1×	304 0.8×	582 1.8×	128	1.5k
Ryosuke Akashi Japan	20	689 0.9×	803 1.2×	490 0.9×	575 1.5×	1.8k 5.6×	47	2.6k
J. S. Thakur United States	22	306 0.4×	351 0.5×	265 0.5×	371 1.0×	739 2.3×	74	1.5k
Detlef Görlitz Germany	20	782 1.1×	293 0.4×	392 0.8×	309 0.8×	699 2.2×	58	1.3k
Hamid Kachkachi France	20	1.0k 1.4×	610 0.9×	503 1.0×	132 0.3×	572 1.8×	57	1.6k
Andrey S. Vasenko Russia	24	531 0.7×	470 0.7×	229 0.4×	852 2.2×	976 3.1×	105	1.8k

Countries citing papers authored by Hao Shi

Since Specialization

Citations

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

Fields of papers citing papers by Hao Shi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hao Shi

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

All Works

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20 of 20 papers shown

Du, Kaifa, Hao Shi, Lei Guo, et al.. (2025). High-performance phosphorus/carbon anodes with P–O–C bonds enabled by oxygen-rich CO2-Derived carbon for sodium-ion batteries. Carbon. 243. 120483–120483. 2 indexed citations

Dahu, Wang & Hao Shi. (2024). Short-term Photovoltaic Power Prediction Method based on ISABO-DELM. 5(1). 15–21. 1 indexed citations

Liu, Minghao, Hao Shi, Lei Guo, et al.. (2024). Enhanced graphitization of CO2-derived carbon anodes via Joule heating reformation for high-performance lithium-ion batteries. Carbon. 232. 119781–119781. 7 indexed citations

Köhler, Thomas, Johannes S. Hofmann, Hao Shi, et al.. (2023). Solving 2D and 3D Lattice Models of Correlated Fermions—Combining Matrix Product States with Mean-Field Theory. Physical Review X. 13(1). 3 indexed citations

Tang, Xin, et al.. (2023). Synthesis and characterization of agarose-bacterial cellulose hydrogel for promoting seed germination by improving soil water retention. Polymer Bulletin. 81(9). 8215–8227. 9 indexed citations

Li, Ran, et al.. (2023). Magnetic dendritic KCC-1 nanosphere-supported cobalt composite as a separable catalyst for hydrogen generation from NaBH4 hydrolysis. International Journal of Hydrogen Energy. 48(65). 25315–25327. 10 indexed citations

Shi, Hao, et al.. (2022). Stripes and spin-density waves in the doped two-dimensional Hubbard model: Ground state phase diagram. Physical Review Research. 4(1). 37 indexed citations

Krakauer, Henry, et al.. (2022). Ab initio calculations in atoms, molecules, and solids, treating spin–orbit coupling and electron interaction on an equal footing. The Journal of Chemical Physics. 156(1). 7 indexed citations

Shi, Hao & Shiwei Zhang. (2021). Some recent developments in auxiliary-field quantum Monte Carlo for real materials. The Journal of Chemical Physics. 154(2). 24107–24107. 44 indexed citations

10.

Qin, Mingpu, Chia-Min Chung, Hao Shi, et al.. (2020). Absence of Superconductivity in the Pure Two-Dimensional Hubbard Model. Physical Review X. 10(3). 199 indexed citations

11.

Motta, Mário, Fengjie Ma, Zhi‐Hao Cui, et al.. (2020). UvA-DARE (University of Amsterdam). 61 indexed citations

12.

Liang, Gaofeng, Haojie Wang, Hao Shi, et al.. (2020). Recent progress in the development of upconversion nanomaterials in bioimaging and disease treatment. Journal of Nanobiotechnology. 18(1). 154–154. 147 indexed citations

13.

Lei, Jiaxing, Hao Shi, Ping Jiang, Yi Tang, & Shuang Feng. (2019). An Accurate Forced Oscillation Location and Participation Assessment Method for DFIG Wind Turbine. IEEE Access. 7. 130505–130514. 10 indexed citations

14.

Shi, Hao & Shiwei Zhang. (2018). Accelerating the use of multi-determinant trial wave functions in auxiliary-field quantum Monte Carlo calculations. Bulletin of the American Physical Society. 2018.

15.

Shi, Hao, et al.. (2017). Ultracold Atoms in a Square Lattice with Spin-Orbit Coupling: Charge Order, Superfluidity, and Topological Signatures. Physical Review Letters. 119(26). 265301–265301. 21 indexed citations

16.

Vitali, Ettore, Hao Shi, Mingpu Qin, & Shiwei Zhang. (2017). Visualizing the BEC-BCS crossover in a two-dimensional Fermi gas: Pairing gaps and dynamical response functions from ab initio computations. Physical review. A. 96(6). 14 indexed citations

17.

Shi, Hao & Shiwei Zhang. (2016). Infinite variance in fermion quantum Monte Carlo calculations. Physical review. E. 93(3). 33303–33303. 39 indexed citations

18.

Shi, Hao, et al.. (2016). Rashba Spin-Orbit Coupling, Strong Interactions, and the BCS-BEC Crossover in the Ground State of the Two-Dimensional Fermi Gas. Physical Review Letters. 117(4). 40401–40401. 16 indexed citations

19.

Shi, Hao, Carlos A. Jiménez-Hoyos, R. Rodrı́guez-Guzmán, Gustavo E. Scuseria, & Shiwei Zhang. (2014). Symmetry-projected wave functions in quantum Monte Carlo calculations. Physical Review B. 89(12). 36 indexed citations

20.

Shi, Hao & Shiwei Zhang. (2013). Symmetry in Auxiliary-Field Quatnum Monte Carlo Calculations. Bulletin of the American Physical Society. 2013. 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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