Jiushu Shao
- Atomic and Molecular Physics, and Optics top 1%
- Materials Chemistry top 10%
- Statistical and Nonlinear Physics top 1%
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Co-authors
- Nancy MakriQian PengYuanping YiZhigang ShuaiEli PollakPeter HänggiYun‐An YanFan Yang
- Topics
- Spectroscopy and Quantum Chemical Studies (35 papers)Advanced Thermodynamics and Statistical Mechanics (15 papers)Quantum Information and Cryptography (14 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsStatistical and Nonlinear PhysicsPhysical and Theoretical Chemistry
- Journals
- Journal of the American Chemical SocietyPhysical Review LettersThe Journal of Chemical Physics
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Jiushu Shao
55 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 74
- Atomic and Molecular Physics, and Optics 1.6k
- Materials Chemistry 544
- Statistical and Nonlinear Physics 508
- Electrical and Electronic Engineering 455
- Artificial Intelligence 425
Countries citing papers authored by Jiushu Shao
This map shows the geographic impact of Jiushu Shao'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 Jiushu Shao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiushu Shao more than expected).
Fields of papers citing papers by Jiushu Shao
This network shows the impact of papers produced by Jiushu Shao. 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 Jiushu Shao. The network helps show where Jiushu Shao may publish in the future.
Co-authorship network of co-authors of Jiushu Shao
This figure shows the co-authorship network connecting the top 25 collaborators of Jiushu Shao. A scholar is included among the top collaborators of Jiushu Shao 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 Jiushu Shao. Jiushu Shao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 4 | |
| 3 | 15 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 41 | |
| 7 | Approximate Theoretical Methods for Nonadiabatic Dynamics of Polyatomic Molecules | 3 |
| 8 | 15 | |
| 9 | 38 | |
| 10 | 21 | |
| 11 | 234 | |
| 12 | 38 | |
| 13 | 11 | |
| 14 | 1 | |
| 15 | 34 | |
| 16 | 135 | |
| 17 | 15 | |
| 18 | 33 | |
| 19 | 0 | |
| 20 | 1 |
About Jiushu Shao
Jiushu Shao is a scholar working on Statistical and Nonlinear Physics, Atomic and Molecular Physics, and Optics and Physical and Theoretical Chemistry, having authored 56 papers that have together received 2.3k indexed citations. Recurring topics across this work include Spectroscopy and Quantum Chemical Studies (35 papers), Advanced Thermodynamics and Statistical Mechanics (15 papers) and Quantum Information and Cryptography (14 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.6k citations), Statistical and Nonlinear Physics (508 citations) and Physical and Theoretical Chemistry (249 citations). Jiushu Shao has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Nancy Makri, Qian Peng, Yuanping Yi, Zhigang Shuai, Eli Pollak, Peter Hänggi, Yun‐An Yan, Fan Yang, Yu Liu and Jie-Lou Liao. Their work appears in journals such as Journal of the American Chemical Society, Physical Review Letters and The Journal of Chemical Physics.
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.