Xiaofeng Liao

126 papers receiving 3.8k citations

Hit Papers

Indirect Robust Adaptive Fault -Tolerant Control for Atti...200820262014202020082018100200300

Peers

Xiaofeng Liao
Comparison fields: 5 of 109
  • Computer Vision and Pattern Recognition 1.4k
  • Computer Networks and Communications 1.2k
  • Statistical and Nonlinear Physics 902
  • Control and Systems Engineering 891
  • Electrical and Electronic Engineering 810
Replace Hai‐Peng Ren with:
Hai‐Peng Ren China
Binoy Krishna Roy India
Qingshan Liu China
Ahmed H. Madian Egypt
ءMohammad Haeri Iran
Dan Zhang China
Riccardo Caponetto Italy
W.L. Chan Hong Kong
Bo Zhang China
Tzyh‐Jong Tarn United States
Xiaofeng Liao relative to Hai‐Peng Ren China Hai‐Peng Ren's profile →
Citations per field
00.5×4.0×
Hai‐Peng Ren · 1×
Citations per year

Countries citing papers authored by Xiaofeng Liao

Since Specialization
Citations

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

Fields of papers citing papers by Xiaofeng Liao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaofeng Liao

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaofeng Liao. A scholar is included among the top collaborators of Xiaofeng Liao 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 Xiaofeng Liao. Xiaofeng Liao 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
1 9
2 3
3 7
4 3
5 17
6 25
7 73
8 9
9 20
10 1
11 1
12 36
13 11
14 27
15 0
16 6
17 7
18 4
19
A digital secure image communication scheme based on the chaotic Chebyshev map: Research Articles
4
20 217

About Xiaofeng Liao

Xiaofeng Liao is a scholar working on Statistical and Nonlinear Physics, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 127 papers that have together received 4.0k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (34 papers), Chaos control and synchronization (33 papers) and Quantum chaos and dynamical systems (18 papers). The work is most often cited by research in Statistical and Nonlinear Physics (902 citations), Computer Vision and Pattern Recognition (1.4k citations) and Computer Networks and Communications (1.2k citations). Xiaofeng Liao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Bo Yang, Jiahui Wu, Wenchuan Cai, Y. D. Song, Chuandong Li, Gang Feng, Jihong Zhang, Shaojiang Deng, Di Xiao and Aqeel ur Rehman. Their work appears in journals such as IEEE Transactions on Automatic Control, Journal of Power Sources and Chemical Communications.

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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