National Chin-Yi University of Technology
Impact in
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- Advanced Statistical Process Monitoring
Papers in
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- Manufacturing Process and Optimization 141
- Industrial Vision Systems and Defect Detection 132
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- Advanced Statistical Process Monitoring 200
- Top scholars
- Wei‐Hsin ChenKuen‐Suan ChenHe‐Yau KangKe-Tsung HanAmy H.I. LeeHwai Chyuan OngShwu-Ing WuKuei‐Hsiang Chao
- Journals
- Applied Sciences (117 papers)Energies (94 papers)IEEE Access (88 papers)The International Journal of Advanced Manufacturing Technology (88 papers)Expert Systems with Applications (83 papers)
- Partner nations
- TaiwanChinaUnited States
In The Last Decade
National Chin-Yi University of Technology
4.8k papers receiving 83.0k citations
Peers
Comparison fields: 5 of 242
- Statistics, Probability and Uncertainty 3.4k
- Industrial and Manufacturing Engineering 5.0k
- Renewable Energy, Sustainability and the Environment 6.7k
- Management Science and Operations Research 5.2k
- Marketing 3.7k
Countries citing scholars working at National Chin-Yi University of Technology
This map shows the geographic impact of research produced by authors working at National Chin-Yi University of Technology. 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 papers produced at National Chin-Yi University of Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites National Chin-Yi University of Technology more than expected).
Fields of papers published by authors at National Chin-Yi University of Technology
This network shows the impact of papers affiliated with National Chin-Yi University of Technology at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with National Chin-Yi University of Technology at the time of their publication.
About National Chin-Yi University of Technology
In recent decades, authors affiliated with National Chin-Yi University of Technology have published 5.4k papers, which have received a total of 85.4k indexed citations . Scholars at this organization have produced 408 papers in Industrial and Manufacturing Engineering, 233 papers in Statistics, Probability and Uncertainty, 543 papers in Computer Vision and Pattern Recognition, 540 papers in Control and Systems Engineering and 773 papers in Mechanical Engineering on the topics of Advanced Statistical Process Monitoring (200 papers), Advanced machining processes and optimization (153 papers), Thermochemical Biomass Conversion Processes (152 papers), Manufacturing Process and Optimization (141 papers), Customer Service Quality and Loyalty (137 papers), Industrial Vision Systems and Defect Detection (132 papers), Advanced Battery Technologies Research (124 papers) and Multi-Criteria Decision Making (115 papers). Their work is cited by papers focused on Statistics, Probability and Uncertainty (3.4k citations), Industrial and Manufacturing Engineering (5.0k citations), Renewable Energy, Sustainability and the Environment (6.7k citations), Management Science and Operations Research (5.2k citations) and Marketing (3.7k citations). Authors at National Chin-Yi University of Technology collaborate with scholars in Taiwan, China and United States and have published in prestigious journals including Applied Sciences, Energies, IEEE Access, The International Journal of Advanced Manufacturing Technology and Expert Systems with Applications. Some of National Chin-Yi University of Technology's most productive authors include Wei‐Hsin Chen, Kuen‐Suan Chen, He‐Yau Kang, Ke-Tsung Han, Amy H.I. Lee, Hwai Chyuan Ong, Shwu-Ing Wu, Kuei‐Hsiang Chao, Cheng‐Jian Lin and Mei‐Ling Huang.
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.