Songyang Lao

5.3k citations
106 papers · 3.7k · 3 hit papers · h-index 22

Impact in

Papers in

Songyang Lao

97 papers receiving 3.5k citations

Songyang Lao's Hit Papers

Swarm intelligence algorithms for multiple unmanned aerial vehicles collaboration: a comprehensive review 2022 · 137 citations
1370+3+7Years since publication50010001.5k

Peers

Songyang Lao
Comparison fields: 5 of 184
  • Computer Vision and Pattern Recognition 1.6k
  • Media Technology 262
  • Aerospace Engineering 642
  • Artificial Intelligence 743
  • Computer Networks and Communications 519
Replace Erfu Yang with:
Erfu Yang United Kingdom
Wanquan Liu Australia
Kai Arulkumaran United Kingdom
Ruili Wang New Zealand
Xiaonan Luo China
Jie Shao China
Hao Li China
Zhenhua Wang China
Lenan Wu China
Songyang Lao relative to Erfu Yang United Kingdom Erfu Yang's profile →
Citations per field
00.5×4.1×
Erfu Yang · 1×
Citations per year

Countries citing papers authored by Songyang Lao

Since Specialization
Citations

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

Fields of papers citing papers by Songyang Lao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Songyang Lao, 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 Songyang Lao Line = papers co-authored together Songyang Lao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 106 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Deep learning for visual understanding: A review
Hit paper breakdown →
20151737
2
Median Robust Extended Local Binary Pattern for Texture Classification
Hit paper breakdown →
2016306
3 2017231
4 2014157
5
Swarm intelligence algorithms for multiple unmanned aerial vehicles collaboration: a comprehensive review
Hit paper breakdown →
2022137
6 2020118
7 202059
8 202141
9 201738
10 201435
11 201335
12 201734
13 202432
14 201429
15 200628
16 201927
17 200727
18 201924
19 201024
20 200723

About Songyang Lao

Songyang Lao is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence, having authored 106 papers that have together received 3.7k indexed citations. Recurring topics across this work include Video Analysis and Summarization (20 papers), Complex Network Analysis Techniques (19 papers), Opinion Dynamics and Social Influence (17 papers), Robotic Path Planning Algorithms (16 papers), Advanced Image and Video Retrieval Techniques (13 papers), UAV Applications and Optimization (11 papers), Music and Audio Processing (10 papers) and Distributed Control Multi-Agent Systems (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.6k citations), Media Technology (262 citations), Aerospace Engineering (642 citations), Artificial Intelligence (743 citations) and Computer Networks and Communications (519 citations). Songyang Lao has collaborated with scholars based in China, Ireland and Finland. Frequent co-authors include Yanming Guo, Michael S. Lew, Yu Liu, Ard Oerlemans, Song Wu, Jun Tang, Li Liu, Paul Fieguth, Liang Bai and Jun Tang. Their work appears in journals such as IEEE Access, Applied Sciences, Chinese Physics Letters, IEEE Transactions on Image Processing and IEEE Transactions on Multimedia.

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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