Peidong Liu

2.1k citations
80 papers · 994 indexed · h-index 19
Topics
Mathematical Dynamics and Fractals (21 papers)Robotics and Sensor-Based Localization (15 papers)Advanced Vision and Imaging (9 papers)

In The Last Decade

Peidong Liu

70 papers receiving 940 citations

Peers

Peidong Liu
Comparison fields: 5 of 123
  • Computer Vision and Pattern Recognition 320
  • Aerospace Engineering 305
  • Mathematical Physics 274
  • Statistical and Nonlinear Physics 205
  • Electrical and Electronic Engineering 136
Replace He Yan with:
He Yan China
Lazaros Moysis Greece
Hasan Mahmood Pakistan
Xuncai Zhang China
Sattar Mirzakuchaki Iran
Geng Zhao China
Lee United States
Yasuaki Kuroe Japan
Enrique Efrén García-Guerrero Mexico
Lin Yuan China
Peidong Liu relative to He Yan China He Yan's profile →
Citations per field
00.5×10×13.9×
He Yan · 1×
Citations per year

Countries citing papers authored by Peidong Liu

Since Specialization
Citations

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

Fields of papers citing papers by Peidong Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peidong Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Peidong Liu. A scholar is included among the top collaborators of Peidong 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 Peidong Liu. Peidong 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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8 2
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12 7
13 7
14 3
15 37
16 10
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18 11
19 14
20
Large scale wireless indoor localization by clustering and Extreme Learning Machine
14

About Peidong Liu

Peidong Liu is a scholar working on Mathematical Physics, Computer Vision and Pattern Recognition and Computer Graphics and Computer-Aided Design, having authored 80 papers that have together received 994 indexed citations. Recurring topics across this work include Mathematical Dynamics and Fractals (21 papers), Robotics and Sensor-Based Localization (15 papers) and Advanced Vision and Imaging (9 papers). The work is most often cited by research in Mathematical Physics (274 citations), Statistical and Nonlinear Physics (205 citations) and Computer Vision and Pattern Recognition (320 citations). Peidong Liu has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Min Qian, Marc Pollefeys, Andreas Geiger, Torsten Sattler, Lionel Heng, Ben M. Chen, Zhaopeng Cui, Tong H. Lee, Fei Wang and Kening Lu. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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