Michael Wu
Impact in
- Human-Computer Interaction top 1%
- Interactive and Immersive Displays
- Usability and User Interface Design
- Innovative Human-Technology Interaction
- Hand Gesture Recognition Systems
- Persona Design and Applications
- Cognitive Neuroscience top 10%
- Tactile and Sensory Interactions
Papers in
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- Usability and User Interface Design 3
- Interactive and Immersive Displays 3
- Hand Gesture Recognition Systems 1
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- Tactile and Sensory Interactions 2
- Co-authors
- Clifton Forlines (3 shared papers)Kathy Ryall (3 shared papers)Michael Massimi (1 shared paper)Ronald M. Baecker (1 shared paper)Chia Shen (1 shared paper)Ravin Balakrishnan (1 shared paper)Edward Tse (2 shared papers)Chen Shen (2 shared papers)
- Journals
- IEEE Computer Graphics and Applications (1 paper)Journal of Biomechanics (1 paper)Molecular Neurobiology (1 paper)
- Partner nations
- CanadaUnited StatesNetherlands
In The Last Decade
Michael Wu
8 papers receiving 310 citations
Peers
Comparison fields: 5 of 67
- Human-Computer Interaction 254
- Cognitive Neuroscience 135
- Demography 61
- Computer Vision and Pattern Recognition 69
- Management of Technology and Innovation 20
Countries citing papers authored by Michael Wu
This map shows the geographic impact of Michael Wu'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 Michael Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Wu more than expected).
Fields of papers citing papers by Michael Wu
This network shows the impact of papers produced by Michael Wu. 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 Michael Wu. The network helps show where Michael Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Wu, 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 | 2006 | 128 | |
| 2 | 2007 | 87 | |
| 3 | 2006 | 76 | |
| 4 | 2018 | 14 | |
| 5 | 2015 | 13 | |
| 6 | Collaborative Tabletop Research and Evaluation: Interface and Interactions on Direct-Touch Horizontal Surfaces | 2008 | 7 |
| 7 | How Much is Shared in a Shared Activity | 2006 | 1 |
| 8 | The Science of Social: Beyond Hype, Likes & Followers | 2012 | 1 |
About Michael Wu
Michael Wu is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Molecular Biology, Pulmonary and Respiratory Medicine and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 327 indexed citations. Recurring topics across this work include Usability and User Interface Design (3 papers), Interactive and Immersive Displays (3 papers), Tactile and Sensory Interactions (2 papers), Williams Syndrome Research (1 paper), Bone health and osteoporosis research (1 paper), Hand Gesture Recognition Systems (1 paper), Personal Information Management and User Behavior (1 paper) and Augmented Reality Applications (1 paper). The work is most often cited by research in Human-Computer Interaction (254 citations), Cognitive Neuroscience (135 citations), Demography (61 citations), Computer Vision and Pattern Recognition (69 citations) and Management of Technology and Innovation (20 citations). Michael Wu has collaborated with scholars based in Canada, United States and Netherlands. Frequent co-authors include Clifton Forlines, Kathy Ryall, Michael Massimi, Ronald M. Baecker, Chia Shen, Ravin Balakrishnan, Edward Tse, Chen Shen, Mark Hancock and Meredith Ringel Morris. Their work appears in journals such as IEEE Computer Graphics and Applications, Journal of Biomechanics and Molecular Neurobiology.
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.