Dai‐In Danny Han
- Human-Computer Interaction top 0.5%
- Virtual Reality Applications and Impacts 15
- Marketing top 2%
- Consumer Behavior in Brand Consumption and Identification 3
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- Technology Adoption and User Behaviour 3
- Museology top 1%
- Museums and Cultural Heritage 4
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- Digital Marketing and Social Media 7
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- Augmented Reality Applications 9
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- AI in Service Interactions 3
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- Olfactory and Sensory Function Studies 3
- Co-authors
- M. Claudia tom DieckTimothy JungEunyoung SungNatasha MoorhouseSujin BaeOhbyung KwonEleanor E. CranmerYung Kyun Choi
- Journals
- Computers in Human Behavior (4 papers)International Journal of Information Management (1 paper)Psychology and Marketing (2 papers)
- Partner nations
- NetherlandsUnited KingdomUnited States
In The Last Decade
Dai‐In Danny Han
26 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Human-Computer Interaction 513
- Marketing 377
- Information Systems and Management 250
- Museology 71
- Sociology and Political Science 592
Countries citing papers authored by Dai‐In Danny Han
This map shows the geographic impact of Dai‐In Danny Han'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 Dai‐In Danny Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dai‐In Danny Han more than expected).
Fields of papers citing papers by Dai‐In Danny Han
This network shows the impact of papers produced by Dai‐In Danny Han. 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 Dai‐In Danny Han. The network helps show where Dai‐In Danny Han may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Dai‐In Danny Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 6 | |
| 2 | 2024 | 7 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 19 | |
| 6 | 2023 | 44 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 8 | |
| 9 | 2022 | 2 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 74 | |
| 12 | 2021 | 52 | |
| 13 | 2021 | 134 | |
| 14 | 2020 | 99 | |
| 15 | 2019 | 22 | |
| 16 | 2019 | 95 | |
| 17 | Designing emotionally engaging mobile AR (MAR) experiences through digital storytelling. | 2019 | 1 |
| 18 | 2016 | 131 | |
| 19 | Google Glass Creative Tourism Experience: A Case Study of Manchester Art Gallery | 2014 | 5 |
| 20 | Augmented Reality (AR) in Urban Heritage Tourism. | 2014 | 21 |
About Dai‐In Danny Han
Dai‐In Danny Han is a scholar working on Human-Computer Interaction, Museology and Sensory Systems, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (15 papers), Augmented Reality Applications (9 papers), Digital Marketing and Social Media (7 papers), Museums and Cultural Heritage (4 papers), Technology Adoption and User Behaviour (3 papers), Consumer Behavior in Brand Consumption and Identification (3 papers), AI in Service Interactions (3 papers) and Olfactory and Sensory Function Studies (3 papers). The work is most often cited by research in Human-Computer Interaction (513 citations), Marketing (377 citations) and Information Systems and Management (250 citations). Dai‐In Danny Han has collaborated with scholars based in Netherlands, United Kingdom and United States. Frequent co-authors include M. Claudia tom Dieck, Timothy Jung, Eunyoung Sung, Natasha Moorhouse, Sujin Bae, Ohbyung Kwon, Eleanor E. Cranmer, Yung Kyun Choi, Mário Passos Ascenção and Teemu Moilanen. Their work appears in journals such as Computers in Human Behavior, International Journal of Information Management and Psychology and Marketing.
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.