Pei-Ming Liu

414 citations
14 papers · 287 indexed · h-index 8
Topics
Distributed Control Multi-Agent Systems (8 papers)Neural Networks Stability and Synchronization (4 papers)Parallel Computing and Optimization Techniques (3 papers)

In The Last Decade

Pei-Ming Liu

13 papers receiving 285 citations

Peers

Pei-Ming Liu
Comparison fields: 5 of 29
  • Computer Networks and Communications 208
  • Control and Systems Engineering 153
  • Artificial Intelligence 40
  • Electrical and Electronic Engineering 34
  • Computational Theory and Mathematics 31
Replace Abhishek Tiwari with:
Abhishek Tiwari United States
Inhye Kang South Korea
Alexander J. Gallo Italy
Massimiliano d’Angelo Italy
Yann Labit France
Maria K. Michael Cyprus
Haibin Guo China
Upeka Premaratne Sri Lanka
Y.C. Yeh United States
Florian Knorn Ireland
Pei-Ming Liu relative to Abhishek Tiwari United States Abhishek Tiwari's profile →
Citations per field
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Abhishek Tiwari · 1×
Citations per year

Countries citing papers authored by Pei-Ming Liu

Since Specialization
Citations

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

Fields of papers citing papers by Pei-Ming Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei-Ming Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Pei-Ming Liu. A scholar is included among the top collaborators of Pei-Ming 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 Pei-Ming Liu. Pei-Ming Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 2
3 3
4 15
5 14
6 61
7 2
8 3
9 14
10 10
11 134
12 1
13 10
14 18

About Pei-Ming Liu

Pei-Ming Liu is a scholar working on Software, Computer Networks and Communications and Hardware and Architecture, having authored 14 papers that have together received 287 indexed citations. Recurring topics across this work include Distributed Control Multi-Agent Systems (8 papers), Neural Networks Stability and Synchronization (4 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Computer Networks and Communications (208 citations), Control and Systems Engineering (153 citations) and Software (21 citations). Pei-Ming Liu has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Xiang‐Gui Guo, Choon Ki Ahn, Jianliang Wang, Zheng‐Guang Wu, Dan Zhang, Jeff Huang, Gang Zhao, Xiangpeng Xie, Fuwen Yang and Daniel Coutinho. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Information Sciences.

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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