Chun-Min Yu
Impact in
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- Advanced Statistical Process Monitoring
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- Manufacturing Process and Optimization
- Industrial Vision Systems and Defect Detection
- Digital Transformation in Industry
Papers in
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- Advanced Statistical Process Monitoring 26
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- Manufacturing Process and Optimization 15
- Industrial Vision Systems and Defect Detection 10
- Co-authors
- Kuen‐Suan Chen (40 shared papers)Kuo-Ping Lin (2 shared papers)Tsang-Chuan Chang (4 shared papers)Kuei‐Kuei Lai (4 shared papers)Win‐Jet Luo (2 shared papers)Mei‐Ling Huang (1 shared paper)Tsung‐Yu Huang (1 shared paper)Hsuan‐Yu Chen (2 shared papers)
In The Last Decade
Chun-Min Yu
37 papers receiving 338 citations
Peers
Comparison fields: 5 of 50
- Statistics, Probability and Uncertainty 169
- Industrial and Manufacturing Engineering 143
- Medical Laboratory Technology 11
- Statistics and Probability 53
- Management Science and Operations Research 64
Countries citing papers authored by Chun-Min Yu
This map shows the geographic impact of Chun-Min Yu'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 Chun-Min Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun-Min Yu more than expected).
Fields of papers citing papers by Chun-Min Yu
This network shows the impact of papers produced by Chun-Min Yu. 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 Chun-Min Yu. The network helps show where Chun-Min Yu may publish in the future.
Co-authors
The 13 scholars most cited alongside Chun-Min Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 61 | |
| 2 | 2019 | 37 | |
| 3 | 2020 | 33 | |
| 4 | 2016 | 25 | |
| 5 | 2020 | 20 | |
| 6 | 2020 | 18 | |
| 7 | 2020 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2019 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 10 | |
| 13 | 2020 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2020 | 8 | |
| 16 | 2021 | 7 | |
| 17 | 2022 | 5 | |
| 18 | 2018 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2022 | 4 |
About Chun-Min Yu
Chun-Min Yu is a scholar working on Statistics, Probability and Uncertainty, Industrial and Manufacturing Engineering, Management Information Systems, Strategy and Management and Management Science and Operations Research, having authored 44 papers that have together received 343 indexed citations. Recurring topics across this work include Advanced Statistical Process Monitoring (26 papers), Manufacturing Process and Optimization (15 papers), Industrial Vision Systems and Defect Detection (10 papers), Multi-Criteria Decision Making (8 papers), Quality and Supply Management (7 papers), Quality and Management Systems (7 papers), Fault Detection and Control Systems (4 papers) and Advanced Statistical Methods and Models (3 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (169 citations), Industrial and Manufacturing Engineering (143 citations), Medical Laboratory Technology (11 citations), Statistics and Probability (53 citations) and Management Science and Operations Research (64 citations). Chun-Min Yu has collaborated with scholars based in Taiwan, Yemen and China. Frequent co-authors include Kuen‐Suan Chen, Kuo-Ping Lin, Tsang-Chuan Chang, Kuei‐Kuei Lai, Win‐Jet Luo, Mei‐Ling Huang, Tsung‐Yu Huang, Hsuan‐Yu Chen, Mingyuan Li and Chun–Ming Yang. Their work appears in journals such as Applied Sciences, Annals of Operations Research, International Journal of Reliability Quality and Safety Engineering, Journal of Intelligent & Fuzzy Systems and Scientific Reports.
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.