Danni Chang

968 citations
54 papers · 726 · h-index 14

Impact in

Papers in

    • Persona Design and Applications 4
    • Gaze Tracking and Assistive Technology 4
    • Innovative Human-Technology Interaction 4
    • Color perception and design 9
    • Ergonomics and Musculoskeletal Disorders 3

Danni Chang

43 papers receiving 701 citations

Peers

Danni Chang
Comparison fields: 5 of 110
  • Marketing 106
  • Industrial and Manufacturing Engineering 103
  • Management of Technology and Innovation 65
  • Human-Computer Interaction 50
  • Nutrition and Dietetics 111
Replace Jiangang Fei with:
Jiangang Fei Australia
Karina Cecilia Arredondo-Soto Mexico
Pedro Carmona Marques Portugal
Nariaki Nishino Japan
William P. Wagner United States
Tânia M. Lima Portugal
Taufik Djatna Indonesia
Xing Su China
Fernando Henrique Lermen Brazil
Dr. Shamneesh Sharma India
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Citations per field
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Citations per year

Countries citing papers authored by Danni Chang

Since Specialization
Citations

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

Fields of papers citing papers by Danni Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Danni Chang, 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 Danni Chang Line = papers co-authored together Danni Chang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014163
2 2018103
3 201979
4 202136
5 201530
6 202326
7 199826
8 202323
9 201822
10 202221
11 201421
12 201416
13 202015
14 202014
15 202213
16 202313
17 20219
18 20249
19 20257
20 20227

About Danni Chang

Danni Chang is a scholar working on Human-Computer Interaction, Social Psychology, Industrial and Manufacturing Engineering, Cognitive Neuroscience and Demography, having authored 54 papers that have together received 726 indexed citations. Recurring topics across this work include Color perception and design (9 papers), Technology Use by Older Adults (5 papers), Persona Design and Applications (4 papers), Context-Aware Activity Recognition Systems (4 papers), AI in Service Interactions (4 papers), Gaze Tracking and Assistive Technology (4 papers), Innovative Human-Technology Interaction (4 papers) and Ergonomics and Musculoskeletal Disorders (3 papers). The work is most often cited by research in Marketing (106 citations), Industrial and Manufacturing Engineering (103 citations), Management of Technology and Innovation (65 citations), Human-Computer Interaction (50 citations) and Nutrition and Dietetics (111 citations). Danni Chang has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Chun‐Hsien Chen, Carman Lee, Fan Li, Zhen Ma, Zhenyu Gu, Xinzhong Hu, Xiuxiu Yin, Joyce I. Boye, Rong Jiang and Shinichi Koyama. Their work appears in journals such as Advanced Engineering Informatics, Journal of Engineering Design, Food Research International, International Journal of Industrial Ergonomics and Neurocomputing.

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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