Fafa Chen

20 papers receiving 639 citations

Peers

Fafa Chen
Comparison fields: 5 of 47
  • Control and Systems Engineering 506
  • Safety, Risk, Reliability and Quality 39
  • Industrial and Manufacturing Engineering 12
  • Automotive Engineering 10
  • Artificial Intelligence 26
Replace Ananda Shankar Hati with:
Ananda Shankar Hati India
Dingliang Chen China
Dharmendra Kumar Dheer India
Wenjuan Du China
Walmir Freitas Brazil
Surya Teja Kandukuri Norway
Jean-François de Palma United States
Abdelfatah Ali Egypt
Khaoula Tidriri France
Fafa Chen relative to Ananda Shankar Hati India Ananda Shankar Hati's profile →
Citations per field
00.5×10×20×30×44×
Ananda Shankar Hati · 1×
Citations per year

Countries citing papers authored by Fafa Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fafa Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Fafa Chen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Fafa Chen Line = papers co-authored together Fafa Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012135
2 2018124
3 2013107
4 201960
5 202045
6 202043
7 202242
8 202325
9 202317
10 202014
11 20248
12 20236
13 20185
14 20235
15 20255
16
De-nosing method based on multiscale morphological filter optimized by particle swarm optimization algorithm
20124
17 20233
18 20162
19 20222
20
Degradation Trend Prediction of Rolling Bearings Based on Fuzzy Information Granulation and Wavelet Support Vector Machine
20161

About Fafa Chen

Fafa Chen is a scholar working on Control and Systems Engineering, Safety, Risk, Reliability and Quality, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Applied Mathematics, having authored 21 papers that have together received 653 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (15 papers), Reliability and Maintenance Optimization (4 papers), Image and Object Detection Techniques (1 paper), Multi-Criteria Decision Making (1 paper), Industrial Vision Systems and Defect Detection (1 paper), Image and Signal Denoising Methods (1 paper) and Mathematical Analysis and Transform Methods (1 paper). The work is most often cited by research in Control and Systems Engineering (506 citations), Safety, Risk, Reliability and Quality (39 citations), Industrial and Manufacturing Engineering (12 citations), Automotive Engineering (10 citations) and Artificial Intelligence (26 citations). Fafa Chen has collaborated with scholars based in China and Singapore. Frequent co-authors include Baoping Tang, Baojia Chen, Wenrong Xiao, Renxiang Chen, Li Li, Fajun Zhang, Chunhua Zhao, Yunpeng Yang, Wenlong Fu and Gongfa Li. Their work appears in journals such as Measurement, Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, Mechanical Systems and Signal Processing, IEEE Internet of Things Journal and Reliability Engineering & System Safety.

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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