Jiasen Jin
- Atomic and Molecular Physics, and Optics top 5%
- Artificial Intelligence top 5%
- Statistical and Nonlinear Physics top 5%
- Condensed Matter Physics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Rosario FazioDavide RossiniMartin LeibMichael J. HartmannAlberto BiellaOscar ViyuelaLeonardo MazzaJonathan Keeling
- Topics
- Quantum Information and Cryptography (21 papers)Quantum many-body systems (13 papers)Quantum Mechanics and Applications (9 papers)
- Cited by
- Atomic and Molecular Physics, and OpticsStatistical and Nonlinear PhysicsArtificial Intelligence
In The Last Decade
Jiasen Jin
35 papers receiving 585 citations
Peers
Comparison fields: 5 of 23
- Atomic and Molecular Physics, and Optics 552
- Artificial Intelligence 310
- Statistical and Nonlinear Physics 149
- Condensed Matter Physics 83
- Electrical and Electronic Engineering 35
Countries citing papers authored by Jiasen Jin
This map shows the geographic impact of Jiasen Jin'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 Jiasen Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiasen Jin more than expected).
Fields of papers citing papers by Jiasen Jin
This network shows the impact of papers produced by Jiasen Jin. 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 Jiasen Jin. The network helps show where Jiasen Jin may publish in the future.
Co-authorship network of co-authors of Jiasen Jin
This figure shows the co-authorship network connecting the top 25 collaborators of Jiasen Jin. A scholar is included among the top collaborators of Jiasen Jin 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 Jiasen Jin. Jiasen Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 7 | |
| 3 | 9 | |
| 4 | 1 | |
| 5 | 9 | |
| 6 | 5 | |
| 7 | 7 | |
| 8 | 7 | |
| 9 | 6 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 37 | |
| 14 | 1 | |
| 15 | 49 | |
| 16 | 127 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 8 | |
| 20 | 2 |
About Jiasen Jin
Jiasen Jin is a scholar working on Atomic and Molecular Physics, and Optics, Statistical and Nonlinear Physics and Artificial Intelligence, having authored 37 papers that have together received 589 indexed citations. Recurring topics across this work include Quantum Information and Cryptography (21 papers), Quantum many-body systems (13 papers) and Quantum Mechanics and Applications (9 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (552 citations), Statistical and Nonlinear Physics (149 citations) and Artificial Intelligence (310 citations). Jiasen Jin has collaborated with scholars based in China, Italy and France. Frequent co-authors include Rosario Fazio, Davide Rossini, Martin Leib, Michael J. Hartmann, Alberto Biella, Oscar Viyuela, Leonardo Mazza, Jonathan Keeling, He‐Shan Song and Yan Li. Their work appears in journals such as Physical Review Letters, Physical Review A and Physica A Statistical Mechanics and its Applications.
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.