Pai Peng
- Atomic and Molecular Physics, and Optics top 5%
- Electrical and Electronic Engineering
- Materials Chemistry
- Artificial Intelligence top 5%
- Biomedical Engineering
- Co-authors
- Yun‐Feng XiaoPaola CappellaroYong‐Chun LiuChandrasekhar RamanathanDong XuQi-Tao CaoQihuang GongJeff D. Thompson
- Topics
- Quantum many-body systems (6 papers)Catalytic Processes in Materials Science (5 papers)Quantum and electron transport phenomena (5 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsStatistical and Nonlinear PhysicsArtificial Intelligence
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Pai Peng
32 papers receiving 829 citations
Hit Papers
Peers
Comparison fields: 5 of 52
- Atomic and Molecular Physics, and Optics 484
- Electrical and Electronic Engineering 256
- Materials Chemistry 237
- Artificial Intelligence 227
- Biomedical Engineering 131
Countries citing papers authored by Pai Peng
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | Spectroscopy and Modeling of | 18 |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 16 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | High-fidelity gates and mid-circuit erasure conversion in an atomic qubitbreakdown → | 118 |
| 10 | 3 | |
| 11 | 17 | |
| 12 | 19 | |
| 13 | 11 | |
| 14 | Floquet prethermalization in dipolar spin chains | 73 |
| 15 | 63 | |
| 16 | 33 | |
| 17 | 48 | |
| 18 | 23 | |
| 19 | 118 | |
| 20 | 8 |
About Pai Peng
Pai Peng is a scholar working on Ceramics and Composites, Catalysis and Atomic and Molecular Physics, and Optics, having authored 33 papers that have together received 841 indexed citations. Recurring topics across this work include Quantum many-body systems (6 papers), Catalytic Processes in Materials Science (5 papers) and Quantum and electron transport phenomena (5 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (484 citations), Statistical and Nonlinear Physics (92 citations) and Artificial Intelligence (227 citations). Pai Peng has collaborated with scholars based in China, United States and United Kingdom. Frequent 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. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Physical Review Letters.
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.