Chuang Ding

564 citations
18 papers · 386 · 1 hit paper · h-index 6

Impact in

Papers in

Chuang Ding

17 papers receiving 372 citations

Chuang Ding's Hit Papers

Intelligent fault diagnosis of rotating machinery based on one-dimensional convolutional neural network 2019 · 261 citations
2610+2+4Years since publication50100150200250

Peers

Chuang Ding
Comparison fields: 5 of 65
  • Control and Systems Engineering 234
  • Mechanical Engineering 137
  • Mechanics of Materials 82
  • Signal Processing 29
  • Medical Laboratory Technology 4
Replace Yanling Wu with:
Yanling Wu China
Shun Li China
Carlos Rodríguez-Donate Mexico
Shan Pang China
Linghui Meng China
Fuzhou Feng China
T. Ilamparithi Canada
Zrar Kh. Abdul Iraq
Ashwin Kumar Sahoo India
Chuang Ding relative to Yanling Wu China Yanling Wu's profile →
Citations per field
00.5×2.6×
Yanling Wu · 1×
Citations per year

Countries citing papers authored by Chuang Ding

Since Specialization
Citations

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

Fields of papers citing papers by Chuang Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Chuang Ding, 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 Chuang Ding Line = papers co-authored together Chuang Ding links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1
Intelligent fault diagnosis of rotating machinery based on one-dimensional convolutional neural network
Hit paper breakdown →
2019261
2 201434
3 201531
4 201515
5 201311
6 20195
7 20225
8 20234
9 20164
10 20144
11 20233
12 20172
13 20222
14 20172
15 20171
16 20191
17 20161
18 20240

About Chuang Ding

Chuang Ding is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Control and Systems Engineering and Mechanics of Materials, having authored 18 papers that have together received 386 indexed citations. Recurring topics across this work include Speech and Audio Processing (5 papers), Speech Recognition and Synthesis (5 papers), Music and Audio Processing (3 papers), Face recognition and analysis (3 papers), Cancer-related molecular mechanisms research (2 papers), Human Motion and Animation (2 papers), RNA modifications and cancer (2 papers) and Engineering Diagnostics and Reliability (2 papers). The work is most often cited by research in Control and Systems Engineering (234 citations), Mechanical Engineering (137 citations), Mechanics of Materials (82 citations), Signal Processing (29 citations) and Medical Laboratory Technology (4 citations). Chuang Ding has collaborated with scholars based in China and Singapore. Frequent co-authors include Pengcheng Jiang, Chunzhi Wu, Chen Tang, Fuzhou Feng, Pengcheng Zhu, Lei Xie, Yanwei Zeng, Wenbin Zhang, Ai‐Jun Wang and Shaomin Liu. Their work appears in journals such as Computers in Industry, Functional & Integrative Genomics, Multimedia Tools and Applications, Journal of The Electrochemical Society and Journal of Engineering for Gas Turbines and Power.

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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