Hong-Ye Hu

412 total citations
23 papers, 207 citations indexed

About

Hong-Ye Hu is a scholar working on Artificial Intelligence, Atomic and Molecular Physics, and Optics and Computational Theory and Mathematics. According to data from OpenAlex, Hong-Ye Hu has authored 23 papers receiving a total of 207 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Atomic and Molecular Physics, and Optics and 3 papers in Computational Theory and Mathematics. Recurrent topics in Hong-Ye Hu's work include Quantum Computing Algorithms and Architecture (12 papers), Quantum Information and Cryptography (9 papers) and Quantum many-body systems (6 papers). Hong-Ye Hu is often cited by papers focused on Quantum Computing Algorithms and Architecture (12 papers), Quantum Information and Cryptography (9 papers) and Quantum many-body systems (6 papers). Hong-Ye Hu collaborates with scholars based in United States, China and Australia. Hong-Ye Hu's co-authors include Yi‐Zhuang You, Soonwon Choi, Koji Hashimoto, Ruben Verresen, Romain Vasseur, Vedika Khemani, Biao Wu, Eric R. Anschuetz, Xun Gao and Shuwen Su and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Hong-Ye Hu

17 papers receiving 205 citations

Peers

Hong-Ye Hu
Adam L. Shaw United States
Ivaylo S. Madjarov United States
Esther Hänggi Switzerland
Alaina Green United States
Hong-Ye Hu
Citations per year, relative to Hong-Ye Hu Hong-Ye Hu (= 1×) peers Yun‐Hao Shi

Countries citing papers authored by Hong-Ye Hu

Since Specialization
Citations

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

Fields of papers citing papers by Hong-Ye Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hong-Ye Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Hong-Ye Hu. A scholar is included among the top collaborators of Hong-Ye Hu 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-Ye Hu. Hong-Ye Hu 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.
Hu, Hong-Ye, Derek S. Wang, Yi‐Zhuang You, et al.. (2025). Demonstration of robust and efficient quantum property learning with shallow shadows. Nature Communications. 16(1). 2943–2943. 8 indexed citations
2.
Mark, Daniel K., et al.. (2025). Efficiently Measuring d-Wave Pairing and Beyond in Quantum Gas Microscopes. Physical Review Letters. 135(12). 123402–123402.
3.
Hu, Hong-Ye, et al.. (2025). Ansatz-Free Hamiltonian Learning with Heisenberg-Limited Scaling. PRX Quantum. 6(4).
4.
Cao, ChunJun, et al.. (2025). Discovery of optimal quantum codes via reinforcement learning. Physical Review Applied. 23(3). 1 indexed citations
5.
Zhou, Hengyun, Madelyn Cain, Dolev Bluvstein, et al.. (2025). Low-overhead transversal fault tolerance for universal quantum computation. Nature. 646(8084). 303–308. 4 indexed citations
7.
Hu, Hong-Ye, et al.. (2024). Syncopated Dynamical Decoupling for Suppressing Crosstalk in Quantum Circuits. arXiv (Cornell University).
8.
Hu, Hong-Ye. (2024). Simulation Analysis of ECG Denoising Based on Common Mode Feedback Technology. Highlights in Science Engineering and Technology. 111. 69–75.
9.
Hu, Hong-Ye, et al.. (2024). Predicting arbitrary state properties from single Hamiltonian quench dynamics. Physical Review Research. 6(4). 1 indexed citations
10.
Huang, Xiaoyang, Taige Wang, Shang Liu, Hong-Ye Hu, & Yi‐Zhuang You. (2024). Quantum Magnetism in Wannier-Obstructed Mott Insulators. Crystals. 14(2). 176–176.
11.
Hu, Hong-Ye, et al.. (2024). Digital–analog quantum learning on Rydberg atom arrays. Quantum Science and Technology. 10(1). 15038–15038. 3 indexed citations
12.
Hu, Hong-Ye, et al.. (2024). Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic. Quantum. 8. 1422–1422. 3 indexed citations
13.
Hu, Hong-Ye, et al.. (2024). Measurement-induced criticality is tomographically optimal. Physical review. B.. 109(9). 4 indexed citations
14.
Hu, Lun‐Hui, et al.. (2024). High-order time-reversal symmetry breaking normal state. Science China Physics Mechanics and Astronomy. 67(3). 6 indexed citations
15.
Hu, Hong-Ye, Soonwon Choi, & Yi‐Zhuang You. (2023). Classical shadow tomography with locally scrambled quantum dynamics. Physical Review Research. 5(2). 58 indexed citations
16.
Anschuetz, Eric R., et al.. (2023). Interpretable Quantum Advantage in Neural Sequence Learning. PRX Quantum. 4(2). 13 indexed citations
17.
Hu, Hong-Ye, et al.. (2023). Scalable and Flexible Classical Shadow Tomography with Tensor Networks. Quantum. 7. 1026–1026. 43 indexed citations
18.
Hashimoto, Koji, Hong-Ye Hu, & Yi‐Zhuang You. (2021). Neural ordinary differential equation and holographic quantum chromodynamics. Machine Learning Science and Technology. 2(3). 35011–35011. 19 indexed citations
19.
Hu, Hong-Ye, et al.. (2020). The clinical research of 1,470 nm laser in percutaneous nephrolithotomy. Translational Andrology and Urology. 9(5). 2172–2178. 4 indexed citations
20.
Su, Shuwen, et al.. (2000). Variable Structure Control Theory and Application: A Survey. 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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