Xiaosong Yu

2.7k citations
177 papers · 2.1k · h-index 26

Impact in

Papers in

Xiaosong Yu

158 papers receiving 2.0k citations

Peers

Xiaosong Yu
Comparison fields: 5 of 43
  • Artificial Intelligence 831
  • Electrical and Electronic Engineering 1.3k
  • Computer Networks and Communications 384
  • Atomic and Molecular Physics, and Optics 468
  • Computational Theory and Mathematics 112
Replace Qin Huang with:
Qin Huang China
Alejandro Aguado Spain
Zunaira Babar United Kingdom
Chip Elliott United States
Armando N. Pinto Portugal
E. Hugues-Salas United Kingdom
Panagiotis Botsinis United Kingdom
Muyuan Li United States
Alexandre Graell i Amat Sweden
Dimitrios Alanis United Kingdom
Xiaosong Yu relative to Qin Huang China Qin Huang's profile →
Citations per field
00.5×1.5×2.5×
Qin Huang · 1×
Citations per year

Countries citing papers authored by Xiaosong Yu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaosong Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaosong Yu. 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 Xiaosong Yu. The network helps show where Xiaosong Yu may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiaosong Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaosong Yu Line = papers co-authored together Xiaosong Yu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 177 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201494
2 201887
3 201779
4 201878
5 201577
6 201871
7 201760
8 201258
9 201958
10 201752
11 201951
12 201948
13 201647
14 202244
15 201541
16 201637
17 202037
18 201936
19 201935
20 201832

About Xiaosong Yu

Xiaosong Yu is a scholar working on Electrical and Electronic Engineering, Artificial Intelligence, Atomic and Molecular Physics, and Optics, Computer Networks and Communications and Information Systems, having authored 177 papers that have together received 2.1k indexed citations. Recurring topics across this work include Optical Network Technologies (106 papers), Advanced Optical Network Technologies (96 papers), Advanced Photonic Communication Systems (92 papers), Quantum Information and Cryptography (65 papers), Quantum Computing Algorithms and Architecture (46 papers), Quantum Mechanics and Applications (28 papers), Software-Defined Networks and 5G (18 papers) and Quantum optics and atomic interactions (16 papers). The work is most often cited by research in Artificial Intelligence (831 citations), Electrical and Electronic Engineering (1.3k citations), Computer Networks and Communications (384 citations), Atomic and Molecular Physics, and Optics (468 citations) and Computational Theory and Mathematics (112 citations). Xiaosong Yu has collaborated with scholars based in China, United States and Ireland. Frequent co-authors include Yongli Zhao, Jie Zhang, Yuan Cao, Jiawei Zhang, Avishek Nag, Yu Wu, Biswanath Mukherjee, Yajie Li, Jianquan Wang and Zhangchao Ma. Their work appears in journals such as Optics Express, Journal of Optical Communications and Networking, Optical Fiber Technology, IEEE Access and Journal of Lightwave Technology.

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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