Dandan Peng

2.4k citations
39 papers · 1.8k indexed · 4 hit papers · h-index 16
Topics
Machine Fault Diagnosis Techniques (22 papers)Gear and Bearing Dynamics Analysis (13 papers)Engineering Diagnostics and Reliability (7 papers)
Partner nations
ChinaBelgiumHong Kong

In The Last Decade

Dandan Peng

33 papers receiving 1.8k citations

Hit Papers

Understanding and Learning Discriminant Features based on...20192026202120232019202020212023100200300

Peers

Dandan Peng
Comparison fields: 5 of 109
  • Control and Systems Engineering 1.4k
  • Mechanical Engineering 829
  • Mechanics of Materials 429
  • Artificial Intelligence 267
  • Electrical and Electronic Engineering 202
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Yadong Xu China
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Zenghui An China
Yixiao Liao China
Liuyang Song China
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Dandan Peng relative to Yadong Xu China Yadong Xu's profile →
Citations per field
00.5×5.5×
Yadong Xu · 1×
Citations per year

Countries citing papers authored by Dandan Peng

Since Specialization
Citations

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

Fields of papers citing papers by Dandan Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dandan Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Dandan Peng. A scholar is included among the top collaborators of Dandan 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 Dandan Peng. Dandan 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 1
3 0
4 0
5 0
6 10
7 1
8 0
9 1
10 1
11 4
12 23
13
Interpretable convolutional neural network with multilayer wavelet for Noise-Robust Machinery fault diagnosisbreakdown →
141
14 82
15 8
16
Attention-guided joint learning CNN with noise robustness for bearing fault diagnosis and vibration signal denoisingbreakdown →
174
17 22
18 21
19 38
20 13

About Dandan Peng

Dandan Peng is a scholar working on Control and Systems Engineering, Mechanical Engineering and Computer Vision and Pattern Recognition, having authored 39 papers that have together received 1.8k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (22 papers), Gear and Bearing Dynamics Analysis (13 papers) and Engineering Diagnostics and Reliability (7 papers). The work is most often cited by research in Control and Systems Engineering (1.4k citations), Mechanical Engineering (829 citations) and Mechanics of Materials (429 citations). Dandan Peng has collaborated with scholars based in China, Belgium and Hong Kong. Frequent co-authors include Huan Wang, Zhiliang Liu, Yong Qin, Ming J. Zuo, Zhe Cheng, Jian Chen, Wei Zhang, Limin Jia, Zhiliang Liu and Le Sun. Their work appears in journals such as Scientific Reports, 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.

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