Peng Cheng

736 citations
52 papers · 547 indexed · h-index 12
Topics
Advanced Control Systems Design (14 papers)Face recognition and analysis (10 papers)Fractional Differential Equations Solutions (9 papers)
Partner nations
ChinaMalaysiaIndia

In The Last Decade

Peng Cheng

46 papers receiving 530 citations

Peers

Peng Cheng
Comparison fields: 5 of 72
  • Control and Systems Engineering 295
  • Modeling and Simulation 146
  • Computer Vision and Pattern Recognition 100
  • Artificial Intelligence 98
  • Electrical and Electronic Engineering 65
Replace Fernando Coito with:
Fernando Coito Portugal
Rodrigo Correa Colombia
Songsong Cheng China
Girish Parmar India
Shunji Manabe Japan
Ching-Lung Chang Taiwan
Zhe Gao China
Hassane Bouzahir Morocco
Chang Zhou China
Piotr Ostalczyk Poland
Peng Cheng relative to Fernando Coito Portugal Fernando Coito's profile →
Citations per field
00.5×3.4×
Fernando Coito · 1×
Citations per year

Countries citing papers authored by Peng Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Peng Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Cheng

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Cheng. A scholar is included among the top collaborators of Peng Cheng 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 Cheng. Peng Cheng 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 18
3 2
4 0
5 1
6 3
7 3
8 2
9 1
10 8
11 7
12 2
13 4
14
Identification of state space model for radar servo system
1
15 1
16
Subspace identification of distributed order systems in time-domain
2
17
A novel LMI approach for robust stabilization of uncertain fractional order systems
3
18
Subspace-based identification for fractional order time delay systems
4
19 59
20
Subspace identification for commensurate fractional order systems using instrumental variables
2

About Peng Cheng

Peng Cheng is a scholar working on Modeling and Simulation, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 52 papers that have together received 547 indexed citations. Recurring topics across this work include Advanced Control Systems Design (14 papers), Face recognition and analysis (10 papers) and Fractional Differential Equations Solutions (9 papers). The work is most often cited by research in Modeling and Simulation (146 citations), Control and Systems Engineering (295 citations) and Computer Vision and Pattern Recognition (100 citations). Peng Cheng has collaborated with scholars based in China, Malaysia and India. Frequent co-authors include Yong Wang, Shu Liang, Li Wang, Keren Fu, Yiheng Wei, Qing Gao, Li Wang, Lingling Li, Hsiung‐Cheng Lin and Yi Zhang. Their work appears in journals such as Journal of Materials Chemistry A, IEEE Access and Sensors.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026