Yu‐Hung Chien

723 total citations
34 papers, 481 citations indexed

About

Yu‐Hung Chien is a scholar working on Mechanical Engineering, Human-Computer Interaction and Social Psychology. According to data from OpenAlex, Yu‐Hung Chien has authored 34 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Mechanical Engineering, 8 papers in Human-Computer Interaction and 7 papers in Social Psychology. Recurrent topics in Yu‐Hung Chien's work include Design Education and Practice (11 papers), Creativity in Education and Neuroscience (7 papers) and Innovative Teaching and Learning Methods (4 papers). Yu‐Hung Chien is often cited by papers focused on Design Education and Practice (11 papers), Creativity in Education and Neuroscience (7 papers) and Innovative Teaching and Learning Methods (4 papers). Yu‐Hung Chien collaborates with scholars based in Taiwan. Yu‐Hung Chien's co-authors include Yu‐Shan Chang, Kuen‐Yi Lin, Hsien-Sheng Hsiao, Hsien‐Sheng Hsiao, Ying‐Tien Wu, Chia‐Yu Liu, Jyun‐Chen Chen, Hsu‐Chan Kuo, Chao‐Jung Wu and Yiwei Lin and has published in prestigious journals such as Computers in Human Behavior, Sustainability and Applied Sciences.

In The Last Decade

Yu‐Hung Chien

33 papers receiving 457 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yu‐Hung Chien Taiwan 14 143 85 82 77 72 34 481
Gísli Þorsteinsson Iceland 11 140 1.0× 73 0.9× 73 0.9× 101 1.3× 35 0.5× 89 457
Edith Ackermann United States 9 94 0.7× 83 1.0× 44 0.5× 30 0.4× 79 1.1× 41 355
Niall Seery Ireland 12 292 2.0× 124 1.5× 53 0.6× 89 1.2× 47 0.7× 81 634
Rohit Mehta United States 8 213 1.5× 73 0.9× 88 1.1× 152 2.0× 47 0.7× 36 501
Tim Coughlan United Kingdom 16 174 1.2× 65 0.8× 121 1.5× 53 0.7× 219 3.0× 80 844
Robert Ramberg Sweden 12 128 0.9× 103 1.2× 137 1.7× 36 0.5× 35 0.5× 61 453
Kristin Cook United States 14 350 2.4× 92 1.1× 68 0.8× 57 0.7× 50 0.7× 49 625
Brad Mehlenbacher United States 12 143 1.0× 121 1.4× 74 0.9× 34 0.4× 68 0.9× 47 480
John Bell United States 10 141 1.0× 57 0.7× 41 0.5× 44 0.6× 53 0.7× 36 494
Samira Bourgeois‐Bougrine France 12 126 0.9× 68 0.8× 49 0.6× 293 3.8× 32 0.4× 22 623

Countries citing papers authored by Yu‐Hung Chien

Since Specialization
Citations

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

Fields of papers citing papers by Yu‐Hung Chien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu‐Hung Chien

This figure shows the co-authorship network connecting the top 25 collaborators of Yu‐Hung Chien. A scholar is included among the top collaborators of Yu‐Hung 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 Yu‐Hung Chien. Yu‐Hung 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
2.
Hsiao, Hsien‐Sheng, et al.. (2023). A study on the effects of using gamification with the 6E model on high school students’ computer programming self-efficacy, IoT knowledge, hands-on skills, and behavioral patterns. Educational Technology Research and Development. 71(4). 1821–1849. 13 indexed citations
3.
Chien, Yu‐Hung, et al.. (2023). Engineering design learning for high school and college first-year students in a STEM battlebot design project. International Journal of STEM Education. 10(1). 9 indexed citations
4.
Chien, Yu‐Hung & Fang‐Yu Chang. (2023). An importance-performance analysis of teachers’ perception of STEM engineering design education. Humanities and Social Sciences Communications. 10(1). 157–157. 2 indexed citations
5.
Liu, Chia‐Yu, et al.. (2021). Examining the quality of art in STEAM learning activities.. Psychology of Aesthetics Creativity and the Arts. 17(3). 382–393. 13 indexed citations
6.
Chien, Yu‐Hung, et al.. (2021). Measuring industrial design self-efficacy and anxiety. International Journal of Technology and Design Education. 32(2). 1317–1336. 7 indexed citations
7.
Chien, Yu‐Hung, et al.. (2020). Development of an AI Userbot for Engineering Design Education Using an Intent and Flow Combined Framework. Applied Sciences. 10(22). 7970–7970. 12 indexed citations
8.
Chien, Yu‐Hung. (2019). Technology-Enhanced Learning: An Optimal CPS Learning Application. Sustainability. 11(16). 4415–4415. 6 indexed citations
9.
Lin, Kuen‐Yi, Hsien-Sheng Hsiao, Yu‐Shan Chang, Yu‐Hung Chien, & Ying‐Tien Wu. (2018). The Effectiveness of Using 3D Printing Technology in STEM Project-Based Learning Activities. Eurasia Journal of Mathematics Science and Technology Education. 14(12). 32 indexed citations
10.
Lin, Kuen‐Yi, et al.. (2018). Effects of web-based versus classroom-based STEM learning environments on the development of collaborative problem-solving skills in junior high school students. International Journal of Technology and Design Education. 30(1). 21–34. 45 indexed citations
11.
Chang, Yu‐Shan, et al.. (2018). Effects of creative components and creative behavior on design creativity. Thinking Skills and Creativity. 29. 23–31. 23 indexed citations
12.
Hsiao, Hsien‐Sheng, Yu‐Shan Chang, Yu‐Hung Chien, et al.. (2017). The Study on Integrating the Design Thinking Model and STEM Activity Unit for Senior High School Living Technology Course. 383–390. 9 indexed citations
13.
Chien, Yu‐Hung, et al.. (2017). The Effectiveness of Using Stereoscopic 3D for Proportion Estimation in Product Design Education. Eurasia Journal of Mathematics Science and Technology Education. 13(10). 5 indexed citations
14.
Chien, Yu‐Hung, et al.. (2017). The Different Learning Outcomes of High School and College Students on a 3D-Printing STEAM Engineering Design Curriculum. International Journal of Science and Mathematics Education. 16(6). 1047–1064. 56 indexed citations
15.
Chang, Yu‐Shan, et al.. (2016). Students’ innovative environmental perceptions and creative performances in cloud-based m-learning. Computers in Human Behavior. 63. 988–994. 28 indexed citations
16.
Chang, Yu‐Shan, et al.. (2016). Effects of 3D CAD applications on the design creativity of students with different representational abilities. Computers in Human Behavior. 65. 107–113. 22 indexed citations
17.
Chien, Yu‐Hung, et al.. (2015). The Effects of Sex, Topological Structure, and Task Type on Hypertext Navigational Performance. Perceptual and Motor Skills. 120(3). 776–786. 1 indexed citations
18.
Lin, Kuen‐Yi, et al.. (2015). Design of an assessment system for collaborative problem solving in STEM education. Journal of Computers in Education. 2(3). 301–322. 30 indexed citations
19.
Chien, Yu‐Hung. (2014). Organ Donation Posters: Developing Persuasive Messages. Online Journal of Communication and Media Technologies. 4(4). 2 indexed citations
20.
Chien, Yu‐Hung. (2011). Message Framing and Color Combination in the Perception of Medical Information. Psychological Reports. 108(2). 667–672. 14 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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