Yu-Ming Chang

864 total citations
33 papers, 616 citations indexed

About

Yu-Ming Chang is a scholar working on Social Psychology, Experimental and Cognitive Psychology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Yu-Ming Chang has authored 33 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Social Psychology, 14 papers in Experimental and Cognitive Psychology and 6 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Yu-Ming Chang's work include Color perception and design (15 papers), Multisensory perception and integration (12 papers) and Color Science and Applications (6 papers). Yu-Ming Chang is often cited by papers focused on Color perception and design (15 papers), Multisensory perception and integration (12 papers) and Color Science and Applications (6 papers). Yu-Ming Chang collaborates with scholars based in Taiwan, Sweden and Finland. Yu-Ming Chang's co-authors include Hua-Cheng Chang, Hsin-Hsi Lai, Chien‐Yu Lin, Jung-Pin Lai, Ping‐Feng Pai, Wen-Fa Wu, Chang‐Pin Chou, Hua‐Chiang Wen, Chain‐Shu Hsu and Huatao Peng and has published in prestigious journals such as Journal of Colloid and Interface Science, The Journal of the Acoustical Society of America and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Yu-Ming Chang

29 papers receiving 582 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-Ming Chang Taiwan 10 298 125 114 107 100 33 616
Yang‐Cheng Lin Taiwan 11 456 1.5× 229 1.8× 182 1.6× 162 1.5× 21 0.2× 65 727
Brian Henson United Kingdom 16 365 1.2× 231 1.8× 85 0.7× 47 0.4× 25 0.3× 47 960
Hung‐Cheng Tsai Taiwan 9 322 1.1× 125 1.0× 85 0.7× 152 1.4× 9 0.1× 13 440
Jiyoung Kwahk South Korea 10 279 0.9× 81 0.6× 58 0.5× 19 0.2× 17 0.2× 26 583
Yi Ding China 15 337 1.1× 174 1.4× 19 0.2× 22 0.2× 17 0.2× 74 777
Marino Menozzi Switzerland 13 275 0.9× 72 0.6× 48 0.4× 25 0.2× 14 0.1× 54 688
Nayeon Kim South Korea 16 73 0.2× 33 0.3× 59 0.5× 53 0.5× 368 3.7× 71 1.1k
Vytautas Bučinskas Lithuania 15 89 0.3× 233 1.9× 8 0.1× 34 0.3× 167 1.7× 78 1.2k
Carole Bouchard France 12 139 0.5× 124 1.0× 29 0.3× 17 0.2× 8 0.1× 55 424
Meina Cheng Hong Kong 9 62 0.2× 17 0.1× 20 0.2× 19 0.2× 36 0.4× 25 376

Countries citing papers authored by Yu-Ming Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yu-Ming Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yu-Ming Chang. 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-Ming Chang. The network helps show where Yu-Ming Chang may publish in the future.

Co-authorship network of co-authors of Yu-Ming Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yu-Ming Chang. A scholar is included among the top collaborators of Yu-Ming Chang 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-Ming Chang. Yu-Ming Chang 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
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Lai, Jung-Pin, et al.. (2023). A Study of Optimization in Deep Neural Networks for Regression. Electronics. 12(14). 3071–3071. 17 indexed citations
4.
Lai, Jung-Pin, et al.. (2020). A Survey of Machine Learning Models in Renewable Energy Predictions. Applied Sciences. 10(17). 5975–5975. 137 indexed citations
5.
Chang, Yu-Ming, et al.. (2018). The effect of experience and tonal contour: A preliminary study of perceived duration on Mandarin tones. The Journal of the Acoustical Society of America. 144(3_Supplement). 1836–1837. 1 indexed citations
6.
Chang, Yu-Ming. (2017). A study of the eye-catching features and preference of children's pop-up book. 1 indexed citations
7.
Chang, Yu-Ming, et al.. (2016). Efficacy of Supplementary Image Schemes on Reading Motivation and Comprehension. Eurasia Journal of Mathematics Science and Technology Education. 12(5). 1 indexed citations
8.
Chang, Yu-Ming, et al.. (2016). A numerical definition-based systematic design approach for coupling consumers' image perception with product form. Journal of Engineering Design and Technology. 14(1). 134–159. 3 indexed citations
9.
Chang, Yu-Ming, et al.. (2016). Kansei assessment of the constituent elements and the overall interrelations in car steering wheel design. International Journal of Industrial Ergonomics. 56. 97–105. 60 indexed citations
10.
Lin, Chien‐Yu & Yu-Ming Chang. (2014). Increase in physical activities in kindergarten children with cerebral palsy by employing MaKey–MaKey-based task systems. Research in Developmental Disabilities. 35(9). 1963–1969. 21 indexed citations
11.
Lin, Chien‐Yu & Yu-Ming Chang. (2014). Interactive augmented reality using Scratch 2.0 to improve physical activities for children with developmental disabilities. Research in Developmental Disabilities. 37. 1–8. 55 indexed citations
12.
Chang, Yu-Ming, et al.. (2014). Development of a computer aided product-form design tool based on numerical definition scheme and neural network. Journal of Advanced Mechanical Design Systems and Manufacturing. 8(3). JAMDSM0033–JAMDSM0033. 5 indexed citations
13.
Chang, Yu-Ming, et al.. (2013). Exploring the Visual Cognitive Features on the Design of Car Based on the Theory of Eye-Tracking Technology. PRZEGLĄD ELEKTROTECHNICZNY. 5 indexed citations
14.
Chang, Yu-Ming & Jing‐Jing Fang. (2012). Revival of 1920s Belt-Driven Machine Tools with Virtual Reality. Applied Mechanics and Materials. 163. 155–161. 1 indexed citations
15.
Lin, Chien‐Yu, et al.. (2009). Effect of Object Outline Color and Width on Visual Preferences of Young Children for PDA-based Learning Applications. 2 indexed citations
16.
Chang, Yu-Ming, et al.. (2008). APPLICATION OF NOVEL NUMERICAL DEFINITION-BASED SYSTEMATIC APPROACH (NDSA) TO THE DESIGN OF KNIFE FORMS. Journal of the Chinese Institute of Industrial Engineers. 25(2). 148–161. 4 indexed citations
17.
Wen, Hua‐Chiang, et al.. (2006). Mesoporous silica reinforced by silica nanoparticles to enhance mechanical performance. Journal of Colloid and Interface Science. 305(2). 275–279. 8 indexed citations
18.
Chang, Hua-Cheng, Hsin-Hsi Lai, & Yu-Ming Chang. (2006). A measurement scale for evaluating the attractiveness of a passenger car form aimed at young consumers. International Journal of Industrial Ergonomics. 37(1). 21–30. 44 indexed citations
19.
Chang, Yu-Ming, et al.. (2003). The difference between the sense of touch and the sense of sight on the image of plastic texture. 1 indexed citations
20.

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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