Chuen‐Sheng Cheng

1.1k citations
38 papers · 834 indexed · h-index 14

Chuen‐Sheng Cheng

36 papers receiving 782 citations

Peers

Chuen‐Sheng Cheng
Comparison fields: 5 of 76
  • Statistics, Probability and Uncertainty 447
  • Statistics and Probability 242
  • Industrial and Manufacturing Engineering 188
  • Control and Systems Engineering 395
  • Medical Laboratory Technology 15
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Jionghua Jin United States
Jörg Gebhardt Germany
Hichem Boudali Netherlands
Reda Boukezzoula France
Volker Lohweg Germany
Andrey Morozov Germany
Lie Meng Pang China
Józef Drewniak Poland
Krishna Gopal India
Salvatore J. Bavuso United States
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Citations per year

Countries citing papers authored by Chuen‐Sheng Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Chuen‐Sheng Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chuen‐Sheng 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 Chuen‐Sheng Cheng. The network helps show where Chuen‐Sheng Cheng may publish in the future.

Co-authorship network

The 12 scholars most cited alongside Chuen‐Sheng 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 Chuen‐Sheng Cheng Line = papers co-authored together Chuen‐Sheng Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20232
3 20231
4 20233
5 202211
6 20133
7 20127
8 20124
9 201111
10
A hybrid multiclass classifier based on artificial immune algorithm and support vector machine
20115
11 20112
12
An ARL-unbiased Approach to Setting Control Limits of CCC-r Chart for High-Yield Processes
20109
13 201041
14 20092
15 20093
16 2004190
17 1997134
18 199622
19 19951
20
Group technology and expert systems concepts applied to statistical process control in small-batch manufacturing
198918

About Chuen‐Sheng Cheng

Chuen‐Sheng Cheng is a scholar working on Statistics, Probability and Uncertainty, Medical Laboratory Technology and Statistics and Probability, having authored 38 papers that have together received 834 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (29 papers), Fault Detection and Control Systems (15 papers), Advanced Statistical Methods and Models (11 papers), Manufacturing Process and Optimization (7 papers), Scientific Measurement and Uncertainty Evaluation (5 papers), Anomaly Detection Techniques and Applications (5 papers), Quality and Safety in Healthcare (3 papers) and Time Series Analysis and Forecasting (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (447 citations), Statistics and Probability (242 citations) and Industrial and Manufacturing Engineering (188 citations). Chuen‐Sheng Cheng has collaborated with scholars based in Taiwan, Malaysia and China. Frequent co-authors include T.-T. Lee, Chen Wang, Norma Faris Hubele, Peiwen Chen, Chi‐Chang Chang, Yu‐Chin Hsieh, Wanhua Yang, Ching-Wen Wang, Juan Liu and Hongmei Zhu. Their work appears in journals such as Expert Systems with Applications, International Journal of Production Research and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

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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