Chia‐Yu Hsu
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- Industrial Vision Systems and Defect Detection 13
- Manufacturing Process and Optimization 12
- Scheduling and Optimization Algorithms 8
- Advanced Manufacturing and Logistics Optimization 3
- Digital Transformation in Industry 2
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- Advanced Statistical Process Monitoring 7
- Management Information Systems top 10%
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- Neural Networks and Applications 3
- Multi-Agent Systems and Negotiation 2
- Co-authors
- Chen–Fu ChienK. Robert LaiYing‐Jen ChenKuo-Hao ChangPei‐Chann ChangChun‐Fei HsuChih‐Min LinLin Li
- Cited by
- Industrial and Manufacturing EngineeringStatistics, Probability and UncertaintyControl and Systems Engineering
In The Last Decade
Chia‐Yu Hsu
29 papers receiving 795 citations
Peers
Comparison fields: 5 of 73
- Industrial and Manufacturing Engineering 417
- Statistics, Probability and Uncertainty 93
- Control and Systems Engineering 183
- Management Information Systems 55
- Management of Technology and Innovation 34
Countries citing papers authored by Chia‐Yu Hsu
This map shows the geographic impact of Chia‐Yu Hsu'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 Chia‐Yu Hsu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia‐Yu Hsu more than expected).
Fields of papers citing papers by Chia‐Yu Hsu
This network shows the impact of papers produced by Chia‐Yu Hsu. 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 Chia‐Yu Hsu. The network helps show where Chia‐Yu Hsu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chia‐Yu Hsu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 0 | |
| 2 | 2023 | 9 | |
| 3 | 2020 | 3 | |
| 4 | Error-Smoothing Exponentially Weighted Moving Average for Improving Critical Dimension Performance in Photolithography Process | 2017 | 1 |
| 5 | 2017 | 15 | |
| 6 | 2016 | 24 | |
| 7 | 2015 | 17 | |
| 8 | 2015 | 14 | |
| 9 | 2014 | 56 | |
| 10 | 2014 | 30 | |
| 11 | 2013 | 44 | |
| 12 | 2012 | 13 | |
| 13 | 2012 | 109 | |
| 14 | 2010 | 9 | |
| 15 | 2009 | 33 | |
| 16 | 2009 | 40 | |
| 17 | 2007 | 3 | |
| 18 | 2006 | 2 | |
| 19 | 2006 | 34 | |
| 20 | 1996 | 137 |
About Chia‐Yu Hsu
Chia‐Yu Hsu is a scholar working on Industrial and Manufacturing Engineering, Statistics, Probability and Uncertainty and Energy Engineering and Power Technology, having authored 30 papers that have together received 815 indexed citations. Recurring topics across this work include Industrial Vision Systems and Defect Detection (13 papers), Manufacturing Process and Optimization (12 papers), Scheduling and Optimization Algorithms (8 papers), Advanced Statistical Process Monitoring (7 papers), Advanced Manufacturing and Logistics Optimization (3 papers), Neural Networks and Applications (3 papers), Multi-Agent Systems and Negotiation (2 papers) and Digital Transformation in Industry (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (417 citations), Statistics, Probability and Uncertainty (93 citations) and Control and Systems Engineering (183 citations). Chia‐Yu Hsu has collaborated with scholars based in Taiwan, China and Singapore. Frequent co-authors include Chen–Fu Chien, K. Robert Lai, Ying‐Jen Chen, Kuo-Hao Chang, Pei‐Chann Chang, Chun‐Fei Hsu, Chih‐Min Lin, Lin Li, Liang-Chih Yu and Duan-Yu Chen. Their work appears in journals such as Journal of Intelligent Manufacturing, Journal of Industrial and Production Engineering, Computers & Industrial Engineering, IEEE Transactions on Automation Science and Engineering and Computers & Operations Research.
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.