Yan Song

3.5k total citations
151 papers, 2.4k citations indexed

About

Yan Song is a scholar working on Control and Systems Engineering, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yan Song has authored 151 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Control and Systems Engineering, 46 papers in Artificial Intelligence and 31 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yan Song's work include Advanced Control Systems Optimization (43 papers), Stability and Control of Uncertain Systems (43 papers) and Fault Detection and Control Systems (34 papers). Yan Song is often cited by papers focused on Advanced Control Systems Optimization (43 papers), Stability and Control of Uncertain Systems (43 papers) and Fault Detection and Control Systems (34 papers). Yan Song collaborates with scholars based in China, United Kingdom and Saudi Arabia. Yan Song's co-authors include Guoliang Wei, Derui Ding, Shuai Liu, Yurong Liu, Guoliang Wei, Zidong Wang, Fei Han, Guisong Yang, Jianhua Wang and Ming Li and has published in prestigious journals such as IEEE Transactions on Automatic Control, Scientific Reports and Automatica.

In The Last Decade

Yan Song

129 papers receiving 2.3k citations

Peers

Yan Song
Comparison fields: 5 of 108
  • Control and Systems Engineering 1.5k
  • Computer Networks and Communications 848
  • Artificial Intelligence 730
  • Electrical and Electronic Engineering 269
  • Computer Vision and Pattern Recognition 201
Replace Minghui Zhu with:
Minghui Zhu United States
Kang K. Yen United States
Yupu Yang China
Yongqiang Wang United States
Yuan Ping China
Xiaojian Yi China
Alireza Alfi Iran
Yun Chen China
Kan Xie China
Bo Zhou China
Minghui Zhu United States View profile →
Citations per field, relative to Yan Song
Yan Song · 1×
Citations per year, relative to Yan Song
Yan Song · 1×

Countries citing papers authored by Yan Song

Since Specialization
Citations

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

Fields of papers citing papers by Yan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Yan Song. A scholar is included among the top collaborators of Yan 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 Yan Song. Yan 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 1
3 0
4 0
5 6
6 1
7 5
8 6
9 10
10 0
11 4
12 20
13 8
14 21
15 11
16 3
17 12
18 42
19 52
20 43

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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