Lin Wan
Impact in
- Human-Computer Interaction top 5%
- Innovative Human-Technology Interaction
- Demography top 5%
- Technology Use by Older Adults
Papers in
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- Innovative Human-Technology Interaction 6
- Persona Design and Applications 2
-
- Multimedia Communication and Technology 3
- Information Systems Theories and Implementation 2
- Co-authors
- Volker Wulf (10 shared papers)David Randall (2 shared papers)Cláudia Müller (3 shared papers)Jan Heß (7 shared papers)Benedikt Ley (6 shared papers)Corinna Ogonowski (5 shared papers)Dave Randall (1 shared paper)Volkmar Pipek (1 shared paper)
- Journals
- Behaviour and Information Technology (1 paper)ACM Transactions on Computer-Human Interaction (1 paper)Entertainment Computing (1 paper)SHILAP Revista de lepidopterología (1 paper)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (3 papers)
In The Last Decade
Lin Wan
13 papers receiving 298 citations
Peers
Comparison fields: 5 of 59
- Human-Computer Interaction 115
- Demography 125
- Management of Technology and Innovation 65
- Applied Psychology 22
- Neuropsychology and Physiological Psychology 5
Countries citing papers authored by Lin Wan
This map shows the geographic impact of Lin Wan'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 Lin Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Wan more than expected).
Fields of papers citing papers by Lin Wan
This network shows the impact of papers produced by Lin Wan. 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 Lin Wan. The network helps show where Lin Wan may publish in the future.
Co-authors
The 8 scholars most cited alongside Lin Wan, 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 | 2016 | 89 | |
| 2 | 2013 | 52 | |
| 3 | 2014 | 44 | |
| 4 | 2016 | 32 | |
| 5 | 2011 | 26 | |
| 6 | 2013 | 22 | |
| 7 | 2010 | 17 | |
| 8 | 2012 | 10 | |
| 9 | 2012 | 7 | |
| 10 | 2012 | 7 | |
| 11 | 2013 | 3 | |
| 12 | 2024 | 1 | |
| 13 | 2011 | 1 |
About Lin Wan
Lin Wan is a scholar working on Human-Computer Interaction, Sociology and Political Science, Demography, Management of Technology and Innovation and Computer Networks and Communications, having authored 13 papers that have together received 311 indexed citations. Recurring topics across this work include Innovative Human-Technology Interaction (6 papers), Technology Use by Older Adults (6 papers), Innovative Approaches in Technology and Social Development (5 papers), Multimedia Communication and Technology (3 papers), Peer-to-Peer Network Technologies (2 papers), Persona Design and Applications (2 papers), Information Systems Theories and Implementation (2 papers) and Caching and Content Delivery (1 paper). The work is most often cited by research in Human-Computer Interaction (115 citations), Demography (125 citations), Management of Technology and Innovation (65 citations), Applied Psychology (22 citations) and Neuropsychology and Physiological Psychology (5 citations). Lin Wan has collaborated with scholars based in Germany and Spain. Frequent co-authors include Volker Wulf, David Randall, Cláudia Müller, Jan Heß, Benedikt Ley, Corinna Ogonowski, Dave Randall and Volkmar Pipek. Their work appears in journals such as Behaviour and Information Technology, ACM Transactions on Computer-Human Interaction, Entertainment Computing, SHILAP Revista de lepidopterología and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.