Pai Peng

1.1k total citations · 2 hit papers
33 papers, 841 citations indexed

About

Pai Peng is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry and Artificial Intelligence. According to data from OpenAlex, Pai Peng has authored 33 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Atomic and Molecular Physics, and Optics, 13 papers in Materials Chemistry and 8 papers in Artificial Intelligence. Recurrent topics in Pai Peng's work include Quantum many-body systems (6 papers), Catalytic Processes in Materials Science (5 papers) and Quantum and electron transport phenomena (5 papers). Pai Peng is often cited by papers focused on Quantum many-body systems (6 papers), Catalytic Processes in Materials Science (5 papers) and Quantum and electron transport phenomena (5 papers). Pai Peng collaborates with scholars based in China, United States and United Kingdom. Pai Peng's co-authors include Yun‐Feng Xiao, Paola Cappellaro, Yong‐Chun Liu, Chandrasekhar Ramanathan, Dong Xu, Qi-Tao Cao, Qihuang Gong, Jeff D. Thompson, Guowei Lü and Da Xu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Pai Peng

32 papers receiving 829 citations

Hit Papers

High-fidelity gates and mid-circuit erasure conversion in... 2023 2026 2024 2025 2023 2025 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. High-fidelity gates and mid-circuit erasure conversion in an atomic qubit
    2023 118 citations Shuo Ma, Pai Peng et al. Nature profile →
  2. Spectroscopy and Modeling of Yb171 Rydberg States for High-Fidelity Two-Qubit Gates
    2025 18 citations Yiyi Li, Pai Peng et al. Physical Review X profile →

Peers

Pai Peng
Mehdi Abdi Iran
Xiaodong He China
Yongquan Zeng Singapore
Pablo Bianucci Canada
Sanli Faez Netherlands
Jian Cui China
Ari Mizel United States
Van Cao Long Poland
Mehdi Abdi Iran
Pai Peng
Citations per year, relative to Pai Peng Pai Peng (= 1×) peers Mehdi Abdi

Countries citing papers authored by Pai Peng

Since Specialization
Citations

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

Fields of papers citing papers by Pai Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pai Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Pai Peng. A scholar is included among the top collaborators of Pai Peng 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 Pai Peng. Pai Peng 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, Yiyi, Pai Peng, Bichen Zhang, et al.. (2025). Spectroscopy and Modeling of Yb171 Rydberg States for High-Fidelity Two-Qubit Gates. Physical Review X. 15(1). 18 indexed citations breakdown →
2.
Yan, Junchi, et al.. (2025). Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning. Proceedings of the AAAI Conference on Artificial Intelligence. 39(14). 14558–14566. 1 indexed citations
3.
Peng, Pai, et al.. (2024). Frame change technique for phase transient cancellation. Journal of Magnetic Resonance. 362. 107688–107688. 2 indexed citations
4.
Zhang, Bichen, Pai Peng, Aditya S. Paul, & Jeff D. Thompson. (2024). Scaled local gate controller for optically addressed qubits. Optica. 11(2). 227–227. 16 indexed citations
5.
Yang, Jing, et al.. (2024). Promoting Catalytic Performance Involving Hydrogen Spillover by Ion Exchange of Pt@A Catalysts to Regulate Reactant Adsorption. Inorganic Chemistry. 63(11). 5120–5131. 1 indexed citations
6.
Peng, Pai, Bingtian Ye, Norman Y. Yao, & Paola Cappellaro. (2023). Exploiting disorder to probe spin and energy hydrodynamics. Nature Physics. 19(7). 1027–1032. 15 indexed citations
7.
Wang, Guoqing, Changhao Li, Hao Tang, et al.. (2023). Manipulating solid-state spin concentration through charge transport. Proceedings of the National Academy of Sciences. 120(32). e2305621120–e2305621120. 5 indexed citations
8.
Peng, Pai, Yong Huang, Junwen Chen, et al.. (2023). Strengthening spillover hydrogenation of quinoline compounds over platinum-encapsulated amorphized HA zeolite catalyst. Molecular Catalysis. 545. 113210–113210. 10 indexed citations
9.
Ma, Shuo, Pai Peng, Bichen Zhang, et al.. (2023). High-fidelity gates and mid-circuit erasure conversion in an atomic qubit. Nature. 622(7982). 279–284. 118 indexed citations breakdown →
10.
Peng, Pai, et al.. (2023). Thiophene Modification of the Pt/SOD Catalyst to Enhance Catalytic Selectivity in Hydrogenation Reactions. Industrial & Engineering Chemistry Research. 62(43). 17493–17502. 3 indexed citations
11.
Peng, Pai, et al.. (2022). Deep Reinforcement Learning for Quantum Hamiltonian Engineering. Physical Review Applied. 18(2). 17 indexed citations
12.
Peng, Pai, et al.. (2022). RPINNs: Rectified-physics informed neural networks for solving stationary partial differential equations. Computers & Fluids. 245. 105583–105583. 19 indexed citations
13.
Peng, Pai, et al.. (2021). Prethermal quasiconserved observables in Floquet quantum systems. Physical review. B.. 103(5). 11 indexed citations
14.
Peng, Pai, et al.. (2021). Floquet prethermalization in dipolar spin chains. DSpace@MIT (Massachusetts Institute of Technology). 73 indexed citations
15.
Peng, Pai, Yujun Deng, Liyi Shi, et al.. (2020). Fabrication and electrical characteristics of flash-sintered SiO2-doped ZnO-Bi2O3-MnO2 varistors. Journal of Advanced Ceramics. 9(6). 683–692. 63 indexed citations
16.
Cui, Bing, Pai Peng, Liyi Shi, et al.. (2020). Flash sintering preparation and electrical properties of ZnO–Bi2O3-M (M = Cr2O3, MnO2 or Co2O3) varistor ceramics. Ceramics International. 46(10). 14913–14918. 33 indexed citations
17.
Wei, Ken Xuan, Pai Peng, Oles Shtanko, et al.. (2019). Emergent Prethermalization Signatures in Out-of-Time Ordered Correlations. Physical Review Letters. 123(9). 90605–90605. 48 indexed citations
18.
Lu, Yu‐Kun, Pai Peng, Qi-Tao Cao, et al.. (2018). Spontaneous T-symmetry breaking and exceptional points in cavity quantum electrodynamics systems. Science Bulletin. 63(17). 1096–1100. 23 indexed citations
19.
Peng, Pai, Yong‐Chun Liu, Da Xu, et al.. (2017). Enhancing Coherent Light-Matter Interactions through Microcavity-Engineered Plasmonic Resonances. Physical Review Letters. 119(23). 233901–233901. 118 indexed citations
20.
Liang, Na, Wan Liu, Danying Zuo, et al.. (2017). Quaternized polysulfone‐based nanocomposite membranes and improved properties by intercalated layered double hydroxide. Polymer Engineering and Science. 58(5). 767–774. 8 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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