Peng Lin

907 citations
30 papers · 678 indexed · 1 hit paper · h-index 12
Topics
Neural Networks Stability and Synchronization (9 papers)Turbomachinery Performance and Optimization (8 papers)Distributed Control Multi-Agent Systems (7 papers)

In The Last Decade

Peng Lin

25 papers receiving 637 citations

Hit Papers

Consensus of a Class of Second-Order Multi-Agent Systems ...2010202620152020201050100150200250

Peers

Peng Lin
Comparison fields: 5 of 50
  • Computer Networks and Communications 495
  • Control and Systems Engineering 204
  • Public Health, Environmental and Occupational Health 131
  • Aerospace Engineering 113
  • Electrical and Electronic Engineering 89
Replace Jianxiang Xi with:
Jianxiang Xi China
Qinghe Wu China
Wenze Ren United States
Mahdi Baradarannia Iran
A. Williams United States
Yi Dong China
Junping Du China
Xiang Xu Hong Kong
Justin R. Klotz United States
Peng Lin relative to Jianxiang Xi China Jianxiang Xi's profile →
Citations per field
00.5×1.5×
Jianxiang Xi · 1×
Citations per year

Countries citing papers authored by Peng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Peng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Lin. A scholar is included among the top collaborators of Peng Lin 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 Peng Lin. Peng Lin 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 0
2 2
3 9
4 18
5 2
6 8
7 7
8 2
9 13
10 1
11 1
12 17
13 1
14 2
15 4
16 112
17 14
18
Consensus of a Class of Second-Order Multi-Agent Systems With Time-Delay and Jointly-Connected Topologiesbreakdown →
287
19 40
20 16

About Peng Lin

Peng Lin is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Computer Networks and Communications, having authored 30 papers that have together received 678 indexed citations. Recurring topics across this work include Neural Networks Stability and Synchronization (9 papers), Turbomachinery Performance and Optimization (8 papers) and Distributed Control Multi-Agent Systems (7 papers). The work is most often cited by research in Computer Networks and Communications (495 citations), Control and Systems Engineering (204 citations) and Aerospace Engineering (113 citations). Peng Lin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yingmin Jia, Yingmin Jia, Shiying Yuan, Junping Du, Cong Wang, Junfeng Zhang, Jun Xu, Guiping Li, Min Wang and Hui Li. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and Neurocomputing.

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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