Shu‐Yin Chiang

881 total citations
35 papers, 595 citations indexed

About

Shu‐Yin Chiang is a scholar working on Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Aerospace Engineering. According to data from OpenAlex, Shu‐Yin Chiang has authored 35 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 11 papers in Industrial and Manufacturing Engineering and 8 papers in Aerospace Engineering. Recurrent topics in Shu‐Yin Chiang's work include Scheduling and Optimization Algorithms (11 papers), Robotics and Sensor-Based Localization (8 papers) and Advanced Queuing Theory Analysis (7 papers). Shu‐Yin Chiang is often cited by papers focused on Scheduling and Optimization Algorithms (11 papers), Robotics and Sensor-Based Localization (8 papers) and Advanced Queuing Theory Analysis (7 papers). Shu‐Yin Chiang collaborates with scholars based in Taiwan, United States and China. Shu‐Yin Chiang's co-authors include Semyon M. Meerkov, C.-T. Kuo, J.-T. Lim, Yao‐Chiang Kan, Jingshan Li, Sheng‐Cheng Yeh, Ming-Che Lee, Kai Lee, Jinlong Wang and Jared Reynolds and has published in prestigious journals such as Sensors, International Journal of Production Research and IEEE Transactions on Robotics and Automation.

In The Last Decade

Shu‐Yin Chiang

35 papers receiving 570 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shu‐Yin Chiang Taiwan 12 371 187 77 62 54 35 595
Marino Widmer Switzerland 15 570 1.5× 60 0.3× 130 1.7× 14 0.2× 34 0.6× 31 781
D. J. Medeiros United States 16 339 0.9× 116 0.6× 160 2.1× 36 0.6× 6 0.1× 53 637
Jean O'reilly United Kingdom 7 141 0.4× 89 0.5× 124 1.6× 8 0.1× 29 0.5× 21 357
Alain Quilliot France 11 349 0.9× 24 0.1× 68 0.9× 43 0.7× 7 0.1× 53 529
Allison Barnard Feeney United States 13 422 1.1× 78 0.4× 17 0.2× 20 0.3× 46 0.9× 31 521
Claude Yugma France 17 847 2.3× 67 0.4× 63 0.8× 7 0.1× 15 0.3× 82 938
Adnen El Amraoui France 11 157 0.4× 19 0.1× 37 0.5× 33 0.5× 8 0.1× 55 482
Tamer F. Abdelmaguid Egypt 13 443 1.2× 56 0.3× 39 0.5× 4 0.1× 10 0.2× 37 640
Emanuel Trunzer Germany 9 163 0.4× 47 0.3× 15 0.2× 14 0.2× 22 0.4× 28 275
Arash Zaretalab Iran 10 92 0.2× 86 0.5× 29 0.4× 4 0.1× 193 3.6× 31 451

Countries citing papers authored by Shu‐Yin Chiang

Since Specialization
Citations

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

Fields of papers citing papers by Shu‐Yin Chiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shu‐Yin Chiang. 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 Shu‐Yin Chiang. The network helps show where Shu‐Yin Chiang may publish in the future.

Co-authorship network of co-authors of Shu‐Yin Chiang

This figure shows the co-authorship network connecting the top 25 collaborators of Shu‐Yin Chiang. A scholar is included among the top collaborators of Shu‐Yin Chiang 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 Shu‐Yin Chiang. Shu‐Yin Chiang 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.
Chiang, Shu‐Yin, et al.. (2024). Coupling Analysis of Multiple Machine Learning Models for Human Activity Recognition. Computers, materials & continua/Computers, materials & continua (Print). 79(3). 3783–3803. 3 indexed citations
2.
Chiang, Shu‐Yin & Tingyu Lin. (2024). Low-Brightness Object Recognition Based on Deep Learning. Computers, materials & continua/Computers, materials & continua (Print). 79(2). 1757–1773. 2 indexed citations
3.
Chiang, Shu‐Yin & Yifeng Chen. (2022). Contactless Blood Pressure Measurement by AI Robot. Sensors and Materials. 34(11). 4167–4167. 1 indexed citations
4.
Lee, Ming-Che, et al.. (2020). Study on emotion recognition and companion Chatbot using deep neural network. Multimedia Tools and Applications. 79(27-28). 19629–19657. 41 indexed citations
5.
Chia, Tsorng-Lin, Shu‐Yin Chiang, & Chaur‐Heh Hsieh. (2020). Rapid self-localization of robot based on omnidirectional vision technology. Machine Vision and Applications. 31(7-8). 2 indexed citations
6.
Chiang, Shu‐Yin, et al.. (2019). Imitation of human motion for humanoid robot in lift and carry event. The Knowledge Engineering Review. 34. 2 indexed citations
7.
Chiang, Shu‐Yin, et al.. (2019). Localization and obstacle avoidance in soccer competition of humanoid robot by gait and vision system. The Knowledge Engineering Review. 34. 1 indexed citations
8.
Chiang, Shu‐Yin, et al.. (2017). The design of intelligent interactive service robot. 100–103. 3 indexed citations
9.
Chiang, Shu‐Yin. (2016). Vision-based obstacle avoidance system with fuzzy logic for humanoid robots. The Knowledge Engineering Review. 32. 7 indexed citations
10.
Chiang, Shu‐Yin, Yichen Huang, & Yao‐Chiang Kan. (2016). A power scheme of a wireless sensor network node for debris flow monitoring with move-triggered wake-up. Journal of the Chinese Institute of Engineers. 39(7). 841–849. 2 indexed citations
11.
Chiang, Shu‐Yin, et al.. (2015). Real-time self-localization of a mobile robot by vision and motion system. 7. 62–67. 3 indexed citations
12.
13.
Chiang, Shu‐Yin, et al.. (2014). Self-localization for an autonomous mobile robot based on an omni-directional vision system. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9025. 902506–902506. 2 indexed citations
14.
15.
Liu, Yang, Jingshan Li, & Shu‐Yin Chiang. (2011). Re-entrant lines with unreliable asynchronous machines and finite buffers: performance approximation and bottleneck identification. International Journal of Production Research. 50(4). 977–990. 17 indexed citations
16.
Reynolds, Jared, Zhen Zeng, Jingshan Li, & Shu‐Yin Chiang. (2010). Design and analysis of a health care clinic for homeless people using simulations. International Journal of Health Care Quality Assurance. 23(6). 607–620. 24 indexed citations
17.
Chiang, Shu‐Yin, C.-T. Kuo, & Semyon M. Meerkov. (2003). c-bottlenecks in serial production lines: identification and application. 1. 456–461. 9 indexed citations
18.
Chiang, Shu‐Yin, C.-T. Kuo, & Semyon M. Meerkov. (2002). Bottlenecks in Markovian production lines: identification and application. 4. 4348–4349. 5 indexed citations
19.
Chiang, Shu‐Yin, C.-T. Kuo, & Semyon M. Meerkov. (2001). c‐Bottlenecks in serial production lines: Identification andapplication. Mathematical Problems in Engineering. 7(6). 543–578. 99 indexed citations
20.
Chiang, Shu‐Yin, C.-T. Kuo, & Semyon M. Meerkov. (1998). Bottlenecks in Markovian production lines: a systems approach. IEEE Transactions on Robotics and Automation. 14(2). 352–359. 56 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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2026