Shih-Yeh Chen

540 total citations
25 papers, 330 citations indexed

About

Shih-Yeh Chen is a scholar working on Computer Vision and Pattern Recognition, Computer Science Applications and Education. According to data from OpenAlex, Shih-Yeh Chen has authored 25 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Computer Science Applications and 6 papers in Education. Recurrent topics in Shih-Yeh Chen's work include Online Learning and Analytics (5 papers), Augmented Reality Applications (5 papers) and Teaching and Learning Programming (3 papers). Shih-Yeh Chen is often cited by papers focused on Online Learning and Analytics (5 papers), Augmented Reality Applications (5 papers) and Teaching and Learning Programming (3 papers). Shih-Yeh Chen collaborates with scholars based in Taiwan, Malaysia and China. Shih-Yeh Chen's co-authors include Pei‐Hsuan Lin, Chin‐Feng Lai, Ying-Hsun Lai, Yu‐Shan Lin, Yueh‐Min Huang, Yu-Lin Jeng, Wei-Che Chien, Shiang-Yao Liu, Lennon Y. C. Chang and Chia‐Wei Tsai and has published in prestigious journals such as IEEE Access, IEEE Transactions on Fuzzy Systems and Frontiers in Psychology.

In The Last Decade

Shih-Yeh Chen

23 papers receiving 311 citations

Peers

Shih-Yeh Chen
Kamal Bijlani India
Chun-Chia Hsu Taiwan
Windson Viana Brazil
Bin Hou China
Kai-Yi Chin Taiwan
Jurike V. Moniaga Indonesia
Iván Ruiz‐Rube Spain
Leandro Silva Galvão de Carvalho Brazil
Lim Kok Cheng Malaysia
Dongho Kim South Korea
Kamal Bijlani India
Shih-Yeh Chen
Citations per year, relative to Shih-Yeh Chen Shih-Yeh Chen (= 1×) peers Kamal Bijlani

Countries citing papers authored by Shih-Yeh Chen

Since Specialization
Citations

This map shows the geographic impact of Shih-Yeh Chen'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 Shih-Yeh Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shih-Yeh Chen more than expected).

Fields of papers citing papers by Shih-Yeh Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih-Yeh Chen. 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 Shih-Yeh Chen. The network helps show where Shih-Yeh Chen may publish in the future.

Co-authorship network of co-authors of Shih-Yeh Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Shih-Yeh Chen. A scholar is included among the top collaborators of Shih-Yeh Chen 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 Shih-Yeh Chen. Shih-Yeh Chen 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.
Lai, Chin‐Feng, et al.. (2025). Fuzzy Optimization Feature Fusion for Enhanced Fine-Grained Visual Classification in Sustainable Manufacturing Using Vision Transformer. IEEE Transactions on Fuzzy Systems. 33(12). 4225–4239.
2.
Chen, Shih-Yeh, Wei‐Cheng Chen, & Chin‐Feng Lai. (2025). Generative AI as a reflective scaffold in a UAV-based STEM project: A mixed-methods study on students’ higher-order thinking and cognitive transformation. Education and Information Technologies. 30(17). 24787–24814.
3.
Cho, Hsin‐Hung, Shih-Yeh Chen, Ping Lan, & Chin‐Feng Lai. (2025). Leveraging human-centred AI in interactive English education for generating learning materials. Enterprise Information Systems. 19(3-4). 2 indexed citations
4.
Lin, Pei‐Hsuan, Shih-Yeh Chen, Ying-Hsun Lai, & Hsin‐Te Wu. (2024). Design a Data Analytics Training System to Explore Behavioral Intention and Immersion for Internal Enterprise Education. Journal of Organizational and End User Computing. 36(1). 1–18. 1 indexed citations
5.
Lai, Ying-Hsun, et al.. (2024). Personalized Federated Learning with Adaptive Feature Extraction and Category Prediction in Non-IID Datasets. Future Internet. 16(3). 95–95. 1 indexed citations
6.
Lai, Chin‐Feng, et al.. (2023). IoB-Enhanced Deep Learning for Non-specific Thermal Respiratory Rate Monitoring. 1–6. 2 indexed citations
7.
8.
Chen, Shih-Yeh & Wei-Che Chien. (2022). Immersive Virtual Reality Serious Games With DL-Assisted Learning in High-Rise Fire Evacuation on Fire Safety Training and Research. Frontiers in Psychology. 13. 786314–786314. 9 indexed citations
9.
Chen, Shih-Yeh, et al.. (2022). Exploring the factors of students' intention to participate in AI software development. Library Hi Tech. 42(2). 392–408. 20 indexed citations
10.
Chen, Shih-Yeh, Pei‐Hsuan Lin, & Wei-Che Chien. (2022). Children’s Digital Art Ability Training System Based on AI-Assisted Learning: A Case Study of Drawing Color Perception. Frontiers in Psychology. 13. 823078–823078. 15 indexed citations
11.
Lin, Yu‐Shan, Shih-Yeh Chen, Chia‐Wei Tsai, & Ying-Hsun Lai. (2021). Exploring Computational Thinking Skills Training Through Augmented Reality and AIoT Learning. Frontiers in Psychology. 12. 640115–640115. 26 indexed citations
12.
Chen, Shih-Yeh, et al.. (2021). Deep Reinforcement Learning-Based Robot Exploration for Constructing Map of Unknown Environment. Information Systems Frontiers. 26(1). 63–74. 5 indexed citations
13.
Chen, Shih-Yeh, Ying-Hsun Lai, & Yu‐Shan Lin. (2020). Research on Head-Mounted Virtual Reality and Computational Thinking Experiments to Improve the Learning Effect of AIoT Maker Course: Case of Earthquake Relief Scenes. Frontiers in Psychology. 11. 1164–1164. 12 indexed citations
14.
Lin, Pei‐Hsuan & Shih-Yeh Chen. (2020). Design and Evaluation of a Deep Learning Recommendation Based Augmented Reality System for Teaching Programming and Computational Thinking. IEEE Access. 8. 45689–45699. 74 indexed citations
15.
16.
Lai, Chin‐Feng, Shih-Yeh Chen, & Ren‐Hung Hwang. (2017). A Resilient Power Fingerprinting Selection Mechanism of Device Load Recognition for Trusted Industrial Internet of Things. IEEE Transactions on Industrial Informatics. 14(8). 3581–3589. 3 indexed citations
17.
Su, Yu-Sheng, Chin‐Feng Lai, Shih-Yeh Chen, Chun‐Wei Tsai, & Yao‐Chung Chang. (2017). Using Information Retrieval to Construct an Intelligent E-book with Keyword Concept Map. Eurasia Journal of Mathematics Science and Technology Education. 13(10). 3 indexed citations
18.
Chen, Shih-Yeh, Chin‐Feng Lai, Ren‐Hung Hwang, Ying-Hsun Lai, & Ming‐Shi Wang. (2015). An Adaptive Sensor Data Segments Selection Method for Wearable Health Care Services. Journal of Medical Systems. 39(12). 194–194. 9 indexed citations
19.
20.
Chen, Shih-Yeh, Chin‐Feng Lai, Yueh‐Min Huang, & Yu-Lin Jeng. (2013). Intelligent home-appliance recognition over IoT cloud network. 639–643. 40 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