Posu Yan
Impact in
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- Video Surveillance and Tracking Methods
- Context-Aware Activity Recognition Systems
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- Energy Efficient Wireless Sensor Networks
- IoT and Edge/Fog Computing
Papers in
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- Context-Aware Activity Recognition Systems 4
- Video Surveillance and Tracking Methods 3
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- Energy Efficient Wireless Sensor Networks 6
- Co-authors
- Růžena Bajcsy (11 shared papers)Allen Y. Yang (6 shared papers)Gregorij Kurillo (5 shared papers)Jay J. Han (5 shared papers)Richard T. Abresch (4 shared papers)Songhwai Oh (3 shared papers)Phoebus Chen (3 shared papers)Simon Wang (2 shared papers)
- Journals
- ACM Transactions on Sensor Networks (1 paper)IEEE Transactions on Affective Computing (1 paper)PLoS ONE (1 paper)Studies in health technology and informatics (2 papers)International Conference on Information Fusion (1 paper)
- Partner nations
- United StatesItalySouth Korea
In The Last Decade
Posu Yan
18 papers receiving 447 citations
Peers
Comparison fields: 5 of 82
- Computer Vision and Pattern Recognition 188
- Computer Networks and Communications 166
- Rehabilitation 34
- Human-Computer Interaction 18
- Biomedical Engineering 127
Countries citing papers authored by Posu Yan
This map shows the geographic impact of Posu Yan'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 Posu Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Posu Yan more than expected).
Fields of papers citing papers by Posu Yan
This network shows the impact of papers produced by Posu Yan. 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 Posu Yan. The network helps show where Posu Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Posu Yan, 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 | 2008 | 148 | |
| 2 | 2009 | 59 | |
| 3 | 2016 | 42 | |
| 4 | 2012 | 34 | |
| 5 | 2015 | 32 | |
| 6 | 2009 | 31 | |
| 7 | 2013 | 31 | |
| 8 | 2013 | 23 | |
| 9 | 2010 | 17 | |
| 10 | 2014 | 13 | |
| 11 | 2010 | 9 | |
| 12 | Distributed compression and fusion of nonnegative sparse signals for multiple-view object recognition | 2009 | 7 |
| 13 | 2011 | 7 | |
| 14 | 2013 | 5 | |
| 15 | 2013 | 4 | |
| 16 | 2009 | 3 | |
| 17 | 2011 | 3 | |
| 18 | 2011 | 3 |
About Posu Yan
Posu Yan is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications, Biomedical Engineering, Electrical and Electronic Engineering and General Health Professions, having authored 18 papers that have together received 471 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (6 papers), Context-Aware Activity Recognition Systems (4 papers), Wireless Body Area Networks (4 papers), Stroke Rehabilitation and Recovery (3 papers), Mobile Health and mHealth Applications (3 papers), Video Surveillance and Tracking Methods (3 papers), Ergonomics and Musculoskeletal Disorders (2 papers) and Indoor and Outdoor Localization Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (188 citations), Computer Networks and Communications (166 citations), Rehabilitation (34 citations), Human-Computer Interaction (18 citations) and Biomedical Engineering (127 citations). Posu Yan has collaborated with scholars based in United States, Italy and South Korea. Frequent co-authors include Růžena Bajcsy, Allen Y. Yang, Gregorij Kurillo, Jay J. Han, Richard T. Abresch, Songhwai Oh, Phoebus Chen, Simon Wang, Parvez Ahammad and Edgar Lobatón. Their work appears in journals such as ACM Transactions on Sensor Networks, IEEE Transactions on Affective Computing, PLoS ONE, Studies in health technology and informatics and International Conference on Information Fusion.
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.