Tao Peng

4.0k citations
178 papers · 3.1k indexed · 2 hit papers · h-index 26
Topics
Multilevel Inverters and Converters (38 papers)Machine Fault Diagnosis Techniques (37 papers)Fault Detection and Control Systems (31 papers)

In The Last Decade

Tao Peng

159 papers receiving 3.0k citations

Hit Papers

Fault Detection for Non-Gaussian Processes Using Generali...20172026202020232017202150100150200250

Peers

Tao Peng
Comparison fields: 5 of 104
  • Control and Systems Engineering 1.5k
  • Electrical and Electronic Engineering 1.3k
  • Mechanical Engineering 613
  • Artificial Intelligence 576
  • Computer Networks and Communications 290
Replace R. Bhushan Gopaluni with:
R. Bhushan Gopaluni Canada
Demba Diallo France
Zhiwen Chen China
Xinqiao Jin China
V. Sugumaran India
Mahmoud Elsisi Egypt
Azzeddine Bakdi Norway
Jian Ma China
Wen Chen United States
Kang Li China
Tao Peng relative to R. Bhushan Gopaluni Canada R. Bhushan Gopaluni's profile →
Citations per field
00.5×3.5×
R. Bhushan Gopaluni · 1×
Citations per year

Countries citing papers authored by Tao Peng

Since Specialization
Citations

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

Fields of papers citing papers by Tao Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tao Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Tao Peng. A scholar is included among the top collaborators of Tao Peng 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 Tao Peng. Tao Peng 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 4
3 7
4 4
5 1
6 4
7 19
8 2
9 9
10 3
11 5
12 129
13 88
14 61
15 25
16 69
17 56
18 58
19
Method Based on Principal Component Analysis and Support Vector Machine and Its Application to Process Monitoring and Fault Diagnosis
0
20
Multi-objective Optimal Design Approach to Fault Detection Filters
1

About Tao Peng

Tao Peng is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Automotive Engineering, having authored 178 papers that have together received 3.1k indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (38 papers), Machine Fault Diagnosis Techniques (37 papers) and Fault Detection and Control Systems (31 papers). The work is most often cited by research in Control and Systems Engineering (1.5k citations), Electrical and Electronic Engineering (1.3k citations) and Statistics, Probability and Uncertainty (133 citations). Tao Peng has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Zhiwen Chen, Chunhua Yang, Weihua Gui, Steven X. Ding, Chao Yang, Jiamin Xu, Christopher Leckie, Kun Ding, Kotagiri Ramamohanarao and Weihua Gui. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Power Sources and IEEE Transactions on Industrial Electronics.

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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