Danni Chang

732 citations
38 papers · 491 · h-index 12

Impact in

Papers in

Danni Chang

34 papers receiving 470 citations

Peers

Danni Chang
Comparison fields: 5 of 95
  • Marketing 97
  • Industrial and Manufacturing Engineering 97
  • Management of Technology and Innovation 55
  • Human-Computer Interaction 42
  • Strategy and Management 91
Replace Vicente Chulvi with:
Vicente Chulvi Spain
Erin F. MacDonald United States
Tuba Kocatürk Australia
Jianjie Chu China
M.A. Sinclair United Kingdom
Jérémy Bonvoisin Germany
Chunyang Yu China
Barbara Cimatti Italy
Elies Dekoninck United Kingdom
Ganix Lasa Spain
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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 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014137
2 201970
3 201530
4 202130
5 199824
6 201823
7 202321
8 201421
9 202317
10 202014
11 202013
12 202311
13 202211
14 20147
15 20246
16 20226
17 20235
18 20225
19
Grain refinement during primary breakdown of alloy 718
19875
20 20245

About Danni Chang

Danni Chang is a scholar working on Social Psychology, Human-Computer Interaction, Artificial Intelligence, Cognitive Neuroscience and Experimental and Cognitive Psychology, having authored 38 papers that have together received 491 indexed citations. Recurring topics across this work include Color perception and design (8 papers), Persona Design and Applications (4 papers), Multisensory perception and integration (3 papers), Open Source Software Innovations (3 papers), Ergonomics and Musculoskeletal Disorders (3 papers), Design Education and Practice (3 papers), Context-Aware Activity Recognition Systems (3 papers) and AI in Service Interactions (3 papers). The work is most often cited by research in Marketing (97 citations), Industrial and Manufacturing Engineering (97 citations), Management of Technology and Innovation (55 citations), Human-Computer Interaction (42 citations) and Strategy and Management (91 citations). Danni Chang has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Chun‐Hsien Chen, C.K.M. Lee, Fan Li, Zhenyu Gu, Rong Jiang, Chiuan-Chian Chiou, Wilbert E. Wilhelm, Shinichi Koyama, Xue Jiao and Liqun Zhang. Their work appears in journals such as Advanced Engineering Informatics, Journal of Cleaner Production, Journal of Engineering Design, International Journal of Agile Systems and Management and Knowledge-Based Systems.

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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