Andong Liu

67 papers receiving 1.2k citations

Peers

Andong Liu
Comparison fields: 5 of 75
  • Control and Systems Engineering 805
  • Computer Networks and Communications 529
  • Artificial Intelligence 216
  • Computer Vision and Pattern Recognition 178
  • Electrical and Electronic Engineering 102
Replace Anjan Rakshit with:
Anjan Rakshit India
Swagat Kumar India
Reza Ghaemi United States
Shirong Liu China
Seiichi Shin Japan
Eduardo Montijano Spain
Arindam Das United States
Ashwin P. Dani United States
Marc Freese Japan
Takeshi Hatanaka Japan
Andong Liu relative to Anjan Rakshit India Anjan Rakshit's profile →
Citations per field
00.5×10×16.3×
Anjan Rakshit · 1×
Citations per year

Countries citing papers authored by Andong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Andong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Andong Liu. A scholar is included among the top collaborators of Andong Liu 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 Andong Liu. Andong Liu 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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10 18
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15 18
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Stability analyze of wide area measurement system with limited communication
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17 21
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Model predictive control for networked control systems with random delay and packet disordering
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19
Distributed robust fusion Kalman filtering for uncertain stochastic systems with random delays and missing measurements
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20 36

About Andong Liu

Andong Liu is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (30 papers), Adaptive Control of Nonlinear Systems (19 papers) and Distributed Control Multi-Agent Systems (17 papers). The work is most often cited by research in Control and Systems Engineering (805 citations), Computer Networks and Communications (529 citations) and Computer Vision and Pattern Recognition (178 citations). Andong Liu has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Li Yu, Wen‐An Zhang, Zhehao Jin, Michael Z. Q. Chen, Jinhui Wu, Bo Chen, Rongchao Zhang, Steven Liu, Huaicheng Yan and Dan Zhang. Their work appears in journals such as IEEE Transactions on Automatic Control, IEEE Transactions on Industrial Electronics and Automatica.

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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