Liang Sun

70 papers receiving 703 citations

Peers

Liang Sun
Comparison fields: 5 of 65
  • Aerospace Engineering 378
  • Computer Networks and Communications 258
  • Computer Vision and Pattern Recognition 241
  • Control and Systems Engineering 188
  • Electrical and Electronic Engineering 150
Replace Rosario Aragüés with:
Rosario Aragüés Spain
Chaoqun Yang China
Héctor H. González-Baños United States
Amirali Khodadadian Gostar Australia
Shigemi Nagata Japan
Morten Bisgaard Denmark
Hannes Kruppa Singapore
Clark N. Taylor United States
Yifeng Zhou Canada
Xiufang Shi China
Liang Sun relative to Rosario Aragüés Spain Rosario Aragüés's profile →
Citations per field
00.5×1.5×2.0×
Rosario Aragüés · 1×
Citations per year

Countries citing papers authored by Liang Sun

Since Specialization
Citations

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

Fields of papers citing papers by Liang Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Liang Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Sun. A scholar is included among the top collaborators of Liang Sun 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 Liang Sun. Liang Sun 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
#WorkIndexed citations
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Multi-Sound-Source Localization for Small Autonomous Unmanned Vehicles with a Self-Rotating Bi-Microphone Array.
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11 44
12 24
13 1
14 5
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Improved successive approximation procedure for optimal control of nonlinear systems
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16
Task Coordination in Cooperative Air Combat Based on Hierarchical Task Decomposition
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Decentralized optimal tracking control of large-scale nonlinear systems
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The Receding Horizon Optimal Control Based on Neural Network
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19
Aerial Combat Situation Assessment of Multi-group Aircraft under Command of AWACS Based on Set Pair Analysis
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20
Analysis on Compensation of Control System of Nonlinear Integrator
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About Liang Sun

Liang Sun is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 87 papers that have together received 729 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (24 papers), Robotic Path Planning Algorithms (19 papers) and UAV Applications and Optimization (14 papers). The work is most often cited by research in Aerospace Engineering (378 citations), Computer Vision and Pattern Recognition (241 citations) and Computer Networks and Communications (258 citations). Liang Sun has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Daniel J. Pack, Randal W. Beard, Nathan Lindsay, Hui Zhao, John D. Hedengren, Shuo Wang, Timothy W. McLain, Mark B. Colton, Joseph W. Nichols and Wei Tang. Their work appears in journals such as IEEE Transactions on Power Electronics, The Journal of the Acoustical Society of America and AIAA Journal.

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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