Shih‐Yi Chien

861 total citations
49 papers, 534 citations indexed

About

Shih‐Yi Chien is a scholar working on Social Psychology, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Shih‐Yi Chien has authored 49 papers receiving a total of 534 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Social Psychology, 20 papers in Artificial Intelligence and 8 papers in Sociology and Political Science. Recurrent topics in Shih‐Yi Chien's work include Human-Automation Interaction and Safety (15 papers), AI in Service Interactions (9 papers) and Occupational Health and Safety Research (6 papers). Shih‐Yi Chien is often cited by papers focused on Human-Automation Interaction and Safety (15 papers), AI in Service Interactions (9 papers) and Occupational Health and Safety Research (6 papers). Shih‐Yi Chien collaborates with scholars based in United States, Taiwan and Türkiye. Shih‐Yi Chien's co-authors include Katia Sycara, Michael Lewis, Jyi-Shane Liu, Asiye Kumru, Huadong Wang, Szu‐Yin Lin, Yu‐Che Chen, Kuo‐Ming Chao, Chih‐Hsien Hsia and Zhaleh Semnani‐Azad and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Human-Computer Studies and Electronics.

In The Last Decade

Shih‐Yi Chien

42 papers receiving 507 citations

Peers

Shih‐Yi Chien
Comparison fields: 5 of 82
  • Social Psychology 220
  • Artificial Intelligence 154
  • Sociology and Political Science 83
  • Safety Research 70
  • Computer Science Applications 53
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Citations per field, relative to Shih‐Yi Chien
Shih‐Yi Chien · 1×
Citations per year, relative to Shih‐Yi Chien
Shih‐Yi Chien · 1×

Countries citing papers authored by Shih‐Yi Chien

Since Specialization
Citations

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

Fields of papers citing papers by Shih‐Yi Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shih‐Yi Chien. 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‐Yi Chien. The network helps show where Shih‐Yi Chien may publish in the future.

Co-authorship network of co-authors of Shih‐Yi Chien

This figure shows the co-authorship network connecting the top 25 collaborators of Shih‐Yi Chien. A scholar is included among the top collaborators of Shih‐Yi Chien 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‐Yi Chien. Shih‐Yi Chien 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
# Work Indexed citations
1 2
2 0
3 0
4 4
5 0
6 1
7 1
8 2
9 2
10 6
11 19
12 3
13
Understanding Students’ Intentions in Learning Visual Robotic Programming: An Integration of IS Success Model, Utilitarian Value and Hedonic Value
3
14 21
15 31
16 21
17
Improving the Perceived Quality of Private Brands Using Co-Branding: The Role of Brand Equity and Store Image
1
18 19
19 21
20 22

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