Ding-Bang Luh

55 papers receiving 345 citations

Peers

Ding-Bang Luh
Comparison fields: 5 of 91
  • Management of Technology and Innovation 99
  • Museology 17
  • Experimental and Cognitive Psychology 60
  • Human-Computer Interaction 22
  • Social Psychology 75
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Andrew Wodehouse United Kingdom
Céline Mougenot United Kingdom
Theodore Zamenopoulos United Kingdom
Katerina Alexiou United Kingdom
Toni‐Matti Karjalainen Finland
Katja Thoring Germany
Vicente Chulvi Spain
Nigan Bayazıt Türkiye
Jan Auernhammer United States
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Citations per field
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Citations per year

Countries citing papers authored by Ding-Bang Luh

Since Specialization
Citations

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

Fields of papers citing papers by Ding-Bang Luh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ding-Bang Luh. 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 Ding-Bang Luh. The network helps show where Ding-Bang Luh may publish in the future.

Co-authors

The 25 scholars most cited alongside Ding-Bang Luh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ding-Bang Luh Line = papers co-authored together Ding-Bang Luh links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200845
2 200933
3 201227
4 201227
5 200919
6 202216
7 201416
8 201415
9 202313
10 202212
11 20238
12 20228
13 20088
14 20128
15 20237
16 20237
17 20227
18 20176
19 20096
20 20126

About Ding-Bang Luh

Ding-Bang Luh is a scholar working on Social Psychology, Mechanical Engineering, Management of Technology and Innovation, Human-Computer Interaction and Sociology and Political Science, having authored 64 papers that have together received 365 indexed citations. Recurring topics across this work include Design Education and Practice (12 papers), Color perception and design (10 papers), Creativity in Education and Neuroscience (6 papers), Fashion and Cultural Textiles (5 papers), Quality Function Deployment in Product Design (5 papers), Product Development and Customization (5 papers), Consumer Behavior in Brand Consumption and Identification (4 papers) and Stroke Rehabilitation and Recovery (4 papers). The work is most often cited by research in Management of Technology and Innovation (99 citations), Museology (17 citations), Experimental and Cognitive Psychology (60 citations), Human-Computer Interaction (22 citations) and Social Psychology (75 citations). Ding-Bang Luh has collaborated with scholars based in China, Taiwan and Macao. Frequent co-authors include Ying-Jer Kao, Tingting Yang, Tao Shen, Xiaochen Zhang, Huihui Chen, Zihao Chen, Tiansheng Xia, Vesna Popović, Nithikul Nimkulrat and Jie Zhao. Their work appears in journals such as Applied Sciences, Sustainability, Fibres and Textiles in Eastern Europe, International Journal of Technology and Design Education and INTERNATIONAL JOURNAL ON Advances in Information Sciences and Service Sciences.

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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