Xiao‐Song Ma
- Atomic and Molecular Physics, and Optics top 1%
- Artificial Intelligence top 0.5%
- Electrical and Electronic Engineering top 10%
- Statistical and Nonlinear Physics top 5%
- Biomedical Engineering
- Co-authors
- Anton ZeilingerJohannes KoflerThomas JenneweinRupert UrsinSebastian KropatschekPhilip WaltherBorivoje DakićWilliam R. Naylor
- Topics
- Quantum Information and Cryptography (35 papers)Quantum Mechanics and Applications (21 papers)Photonic and Optical Devices (14 papers)
In The Last Decade
Xiao‐Song Ma
42 papers receiving 1.8k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Atomic and Molecular Physics, and Optics 1.6k
- Artificial Intelligence 1.6k
- Electrical and Electronic Engineering 357
- Statistical and Nonlinear Physics 92
- Biomedical Engineering 57
Countries citing papers authored by Xiao‐Song Ma
This map shows the geographic impact of Xiao‐Song Ma'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 Xiao‐Song Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao‐Song Ma more than expected).
Fields of papers citing papers by Xiao‐Song Ma
This network shows the impact of papers produced by Xiao‐Song Ma. 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 Xiao‐Song Ma. The network helps show where Xiao‐Song Ma may publish in the future.
Co-authorship network of co-authors of Xiao‐Song Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Xiao‐Song Ma. A scholar is included among the top collaborators of Xiao‐Song Ma 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 Xiao‐Song Ma. Xiao‐Song Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 18 | |
| 6 | 13 | |
| 7 | 15 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 21 | |
| 11 | 10 | |
| 12 | 14 | |
| 13 | 62 | |
| 14 | 30 | |
| 15 | Quantum teleportation over 143 kilometres using active feed-forward | 1 |
| 16 | アルゴンとの中程度エネルギーHe 2+ 衝突の移動イオン化における連続体への電子捕獲の描写 | 3 |
| 17 | Quantum Discord as Optimal Resource for Quantum Communication | 6 |
| 18 | Quantum teleportation over 143 kilometres using active feed-forwardbreakdown → | 419 |
| 19 | Experimental photonic quantum simulation of frustrated Heisenberg spins | 1 |
| 20 | 2 |
About Xiao‐Song Ma
Xiao‐Song Ma is a scholar working on Artificial Intelligence, Acoustics and Ultrasonics and Atomic and Molecular Physics, and Optics, having authored 48 papers that have together received 2.0k indexed citations. Recurring topics across this work include Quantum Information and Cryptography (35 papers), Quantum Mechanics and Applications (21 papers) and Photonic and Optical Devices (14 papers). The work is most often cited by research in Atomic and Molecular Physics, and Optics (1.6k citations), Artificial Intelligence (1.6k citations) and Acoustics and Ultrasonics (34 citations). Xiao‐Song Ma has collaborated with scholars based in China, Austria and Germany. Frequent co-authors include Anton Zeilinger, Johannes Kofler, Thomas Jennewein, Rupert Ursin, Sebastian Kropatschek, Philip Walther, Borivoje Dakić, William R. Naylor, Thomas Herbst and Thomas Scheidl. 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.