Chia‐Yu Hsu

1.0k total citations
30 papers, 815 citations indexed

About

Chia‐Yu Hsu is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Chia‐Yu Hsu has authored 30 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Industrial and Manufacturing Engineering, 7 papers in Artificial Intelligence and 7 papers in Statistics, Probability and Uncertainty. Recurrent topics in Chia‐Yu Hsu's work include Industrial Vision Systems and Defect Detection (13 papers), Manufacturing Process and Optimization (12 papers) and Scheduling and Optimization Algorithms (8 papers). Chia‐Yu Hsu is often cited by papers focused on Industrial Vision Systems and Defect Detection (13 papers), Manufacturing Process and Optimization (12 papers) and Scheduling and Optimization Algorithms (8 papers). Chia‐Yu Hsu collaborates with scholars based in Taiwan, China and France. Chia‐Yu Hsu's 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, Chin‐Sheng Yang and Liang-Chih Yu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and International Journal of Production Economics.

In The Last Decade

Chia‐Yu Hsu

29 papers receiving 795 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Chia‐Yu Hsu Taiwan 15 417 231 183 111 93 30 815
Qinming Liu China 13 149 0.4× 64 0.3× 202 1.1× 59 0.5× 61 0.7× 42 728
Tarun Gupta United States 14 494 1.2× 96 0.4× 116 0.6× 93 0.8× 21 0.2× 57 988
Aitor Arnáiz Spain 14 111 0.3× 50 0.2× 258 1.4× 72 0.6× 37 0.4× 52 643
Andreas Mayr Germany 14 546 1.3× 126 0.5× 108 0.6× 42 0.4× 9 0.1× 58 867
Yongzhong Wu China 13 342 0.8× 80 0.3× 94 0.5× 127 1.1× 32 0.3× 41 887
Indra Gunawan Australia 17 55 0.1× 110 0.5× 85 0.5× 44 0.4× 121 1.3× 84 806
Charles E. Ebeling United States 3 99 0.2× 90 0.4× 127 0.7× 30 0.3× 281 3.0× 7 937
Seung‐Jun Shin South Korea 19 714 1.7× 257 1.1× 54 0.3× 49 0.4× 16 0.2× 65 1.2k

Countries citing papers authored by Chia‐Yu Hsu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Chia‐Yu Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Chia‐Yu Hsu. A scholar is included among the top collaborators of Chia‐Yu Hsu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chia‐Yu Hsu. Chia‐Yu Hsu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Fan, Shu‐Kai S., Ming-Shen Chen, Chia‐Yu Hsu, & You‐Jin Park. (2023). An artificial intelligence transformation model – pod redesign of photomasks in semiconductor manufacturing. Journal of Industrial and Production Engineering. 41(3). 201–216. 9 indexed citations
3.
Chan, Tin‐Yam, et al.. (2020). On the “Plesionika martia” (A. Milne-Edwards, 1883) species group in Indian waters. Zootaxa. 4729(1). zootaxa.4729.1.4–zootaxa.4729.1.4. 3 indexed citations
4.
Hsu, Chia‐Yu & Jei‐Zheng Wu. (2017). Error-Smoothing Exponentially Weighted Moving Average for Improving Critical Dimension Performance in Photolithography Process. 23(5). 1 indexed citations
5.
Li, Lin, Chee Shin Yeo, Chia‐Yu Hsu, Liang Yu, & K. Robert Lai. (2017). Agent-based fuzzy constraint-directed negotiation for service level agreements in cloud computing. Cluster Computing. 21(2). 1349–1363. 15 indexed citations
6.
Hsu, Chia‐Yu, et al.. (2016). An agent-based fuzzy constraint-directed negotiation model for solving supply chain planning and scheduling problems. Applied Soft Computing. 48. 703–715. 24 indexed citations
7.
Hsu, Chia‐Yu, Pei‐Chann Chang, & Meng-Hui Chen. (2015). A linkage mining in block-based evolutionary algorithm for permutation flowshop scheduling problem. Computers & Industrial Engineering. 83. 159–171. 17 indexed citations
8.
Hsu, Chia‐Yu, et al.. (2015). A back-propagation neural network with a distributed lag model for semiconductor vendor-managed inventory. Journal of Industrial and Production Engineering. 32(3). 149–161. 14 indexed citations
9.
10.
Hsu, Chia‐Yu, Chin‐Sheng Yang, Liang-Chih Yu, et al.. (2014). Development of a cloud-based service framework for energy conservation in a sustainable intelligent transportation system. International Journal of Production Economics. 164. 454–461. 56 indexed citations
11.
Chien, Chen–Fu, Ying‐Jen Chen, & Chia‐Yu Hsu. (2014). A novel approach to hedge and compensate the critical dimension variation of the developed-and-etched circuit patterns for yield enhancement in semiconductor manufacturing. Computers & Operations Research. 53. 309–318. 30 indexed citations
12.
Chien, Chen–Fu, et al.. (2013). Overlay Error Compensation Using Advanced Process Control With Dynamically Adjusted Proportional-Integral R2R Controller. IEEE Transactions on Automation Science and Engineering. 11(2). 473–484. 44 indexed citations
13.
Hsu, Chia‐Yu. (2013). Integrated data envelopment analysis and neural network model for forecasting performance of wafer fabrication operations. Journal of Intelligent Manufacturing. 25(5). 945–960. 7 indexed citations
14.
Chien, Chen–Fu, et al.. (2012). Semiconductor fault detection and classification for yield enhancement and manufacturing intelligence. Flexible Services and Manufacturing Journal. 25(3). 367–388. 109 indexed citations
15.
Hsu, Chia‐Yu, et al.. (2012). Manufacturing intelligence for early warning of key equipment excursion for advanced equipment control in semiconductor manufacturing. Journal of the Chinese Institute of Industrial Engineers. 29(5). 303–313. 13 indexed citations
16.
Hsu, Chia‐Yu, et al.. (2010). Data mining for yield enhancement in TFT-LCD manufacturing: an empirical study. Journal of the Chinese Institute of Industrial Engineers. 27(2). 140–156. 9 indexed citations
17.
Hsu, Chun‐Fei, et al.. (2009). Adaptive CMAC neural control of chaotic systems with a PI-type learning algorithm. Expert Systems with Applications. 36(9). 11836–11843. 33 indexed citations
18.
Hsu, Chia‐Yu, et al.. (2007). Intelligent Neural Sliding Control for Planetary Gear Type Inverted Pendulum Mechanism. 4. 493–498. 3 indexed citations
19.
Chien, Chen–Fu, et al.. (2006). Overall Wafer Effectiveness (OWE): A Novel Industry Standard for Wafer Productivity. 317–320. 2 indexed citations
20.
Hsu, Chia‐Yu, et al.. (1996). A new single-phase active power filterwith reduced energy-storage capacity. IEE Proceedings - Electric Power Applications. 143(1). 25–30. 137 indexed citations

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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