Li Song

470 total citations
38 papers, 320 citations indexed

About

Li Song is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Li Song has authored 38 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Signal Processing, 10 papers in Computer Vision and Pattern Recognition and 9 papers in Artificial Intelligence. Recurrent topics in Li Song's work include Video Coding and Compression Technologies (6 papers), Neural Networks Stability and Synchronization (4 papers) and Distributed Control Multi-Agent Systems (4 papers). Li Song is often cited by papers focused on Video Coding and Compression Technologies (6 papers), Neural Networks Stability and Synchronization (4 papers) and Distributed Control Multi-Agent Systems (4 papers). Li Song collaborates with scholars based in China, United States and Australia. Li Song's co-authors include Qun Zhang, Cheng‐Wei Qiu, Ying Luo, Tat‐Soon Yeo, Philip S. Yu, Junping Du, Xiaotian Han, Xiao Wang, Chuan Shi and Richard A. Davis and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Li Song

32 papers receiving 309 citations

Peers

Li Song
Comparison fields: 5 of 74
  • Artificial Intelligence 111
  • Computer Vision and Pattern Recognition 89
  • Signal Processing 68
  • Information Systems 61
  • Aerospace Engineering 47
Replace Yinghua Li with:
Yinghua Li China
Benjamin Quost France
Li Yao China
Aloysius George United States
Shuqiang Yang China
Jiajie Wang China
Reiner Creutzburg Germany
Bin Yan China
Xiaochun Wang China
Yinghua Li China View profile →
Citations per field, relative to Li Song
Li Song · 1×
Citations per year, relative to Li Song
Li Song · 1×

Countries citing papers authored by Li Song

Since Specialization
Citations

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

Fields of papers citing papers by Li Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li Song

This figure shows the co-authorship network connecting the top 25 collaborators of Li Song. A scholar is included among the top collaborators of Li 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 Li Song. Li 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 0
3 9
4 0
5 1
6 5
7 13
8 4
9 59
10 4
11 4
12 9
13 0
14
Average consensus of second-order multi-agent systems with time-delays and uncertain topologies
2
15
Leader-following consensus of linear multi-agent systems under fixed and switching topologies
1
16 45
17
Extraction of micro-Doppler of ballistic missile based on compressive sensing
2
18
A general study on equivalent resistance of 2×N-laddered network
0
19
ECA rule system model based on Petri nets
1
20
On Theory Analysis for Expectation Drift Model
1

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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