He‐Shan Song

3.6k total citations
198 papers, 3.0k citations indexed

About

He‐Shan Song is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Nuclear and High Energy Physics. According to data from OpenAlex, He‐Shan Song has authored 198 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 170 papers in Atomic and Molecular Physics, and Optics, 152 papers in Artificial Intelligence and 17 papers in Nuclear and High Energy Physics. Recurrent topics in He‐Shan Song's work include Quantum Information and Cryptography (152 papers), Quantum Mechanics and Applications (101 papers) and Quantum Computing Algorithms and Architecture (81 papers). He‐Shan Song is often cited by papers focused on Quantum Information and Cryptography (152 papers), Quantum Mechanics and Applications (101 papers) and Quantum Computing Algorithms and Architecture (81 papers). He‐Shan Song collaborates with scholars based in China, South Korea and Singapore. He‐Shan Song's co-authors include Yan Xia, Chang‐shui Yu, Jie Song, Jie Song, Wenlin Li, Chong Li, Jin‐Liang Guo, X. X. Yi, Chong Li and Jing Nie and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and Scientific Reports.

In The Last Decade

He‐Shan Song

188 papers receiving 2.8k citations

Peers

He‐Shan Song
Comparison fields: 5 of 60
  • Atomic and Molecular Physics, and Optics 2.6k
  • Artificial Intelligence 2.4k
  • Statistical and Nonlinear Physics 199
  • Electrical and Electronic Engineering 199
  • Computer Networks and Communications 166
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Citations per field, relative to He‐Shan Song
He‐Shan Song · 1×
Citations per year, relative to He‐Shan Song
He‐Shan Song · 1×

Countries citing papers authored by He‐Shan Song

Since Specialization
Citations

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

Fields of papers citing papers by He‐Shan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by He‐Shan Song. 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 He‐Shan Song. The network helps show where He‐Shan Song may publish in the future.

Co-authorship network of co-authors of He‐Shan Song

This figure shows the co-authorship network connecting the top 25 collaborators of He‐Shan Song. A scholar is included among the top collaborators of He‐Shan Song 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 He‐Shan Song. He‐Shan Song 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
# Work Indexed citations
1 0
2 2
3 40
4 53
5 64
6 67
7 4
8 6
9 19
10
Teleportation of a bipartite quantum state via generalized Bell states
1
11 13
12 18
13 47
14 5
15 40
16 5
17 47
18 4
19 33
20 23

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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