De-Jun Cheng

491 citations
25 papers · 338 · h-index 12

Impact in

Papers in

De-Jun Cheng

24 papers receiving 330 citations

Peers

De-Jun Cheng
Comparison fields: 5 of 43
  • Industrial and Manufacturing Engineering 89
  • Mechanical Engineering 178
  • Control and Systems Engineering 105
  • Safety, Risk, Reliability and Quality 33
  • Mechanics of Materials 49
Replace Baobao Qi with:
Baobao Qi China
Jinyan Guo China
Thomas Semm Germany
Tingting Feng China
Yuekai Liu China
Carlos Ferreira Portugal
Piyush Shakya India
Yunhan Kim South Korea
Rongjing Hong China
Haizhou Huang China
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Citations per field
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Citations per year

Countries citing papers authored by De-Jun Cheng

Since Specialization
Citations

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

Fields of papers citing papers by De-Jun Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside De-Jun Cheng, 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 De-Jun Cheng Line = papers co-authored together De-Jun Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202345
2 202040
3 201434
4 202031
5 202322
6 202420
7 202416
8 202115
9 201813
10 202512
11 202012
12 202212
13 201711
14 202211
15 20229
16 20247
17 20215
18 20245
19 20185
20 20214

About De-Jun Cheng

De-Jun Cheng is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering, Control and Systems Engineering, Safety, Risk, Reliability and Quality and Mechanics of Materials, having authored 25 papers that have together received 338 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (7 papers), Gear and Bearing Dynamics Analysis (6 papers), Machine Fault Diagnosis Techniques (5 papers), Reliability and Maintenance Optimization (4 papers), Advanced Surface Polishing Techniques (4 papers), Industrial Vision Systems and Defect Detection (4 papers), Iterative Learning Control Systems (3 papers) and Manufacturing Process and Optimization (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (89 citations), Mechanical Engineering (178 citations), Control and Systems Engineering (105 citations), Safety, Risk, Reliability and Quality (33 citations) and Mechanics of Materials (49 citations). De-Jun Cheng has collaborated with scholars based in China, South Korea and Singapore. Frequent co-authors include Shengwen Zhang, Su-Jin Kim, Kaili Zhou, Chunyan Zhang, Chun-Hong Park, Zhiying Sun, Chunyan Zhang, Zejian Li, Zhan Wang and Yufeng Wang. Their work appears in journals such as International Journal of Precision Engineering and Manufacturing, The International Journal of Advanced Manufacturing Technology, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture, Expert Systems with Applications and Mechanical Systems and Signal Processing.

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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