Kuan‐Wu Su
Impact in
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- Energy Efficient Wireless Sensor Networks
- Mobile Ad Hoc Networks
- Security in Wireless Sensor Networks
- IoT and Edge/Fog Computing
- Transportation top 10%
- Urban Transport and Accessibility
Papers in
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- Indoor and Outdoor Localization Technologies 5
- Energy Load and Power Forecasting 2
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- Augmented Reality Applications 2
- Co-authors
- Jenq‐Shiou Leu (15 shared papers)He‐Yen Hsieh (4 shared papers)Yanru Chen (1 shared paper)Jun‐ichi Takada (1 shared paper)Chi‐Feng Chen (2 shared papers)Michael L. Mark (1 shared paper)Tian Song (1 shared paper)Jiří Hošek (1 shared paper)
- Journals
- IEEE Communications Letters (1 paper)Wireless Personal Communications (1 paper)Wireless Networks (1 paper)IET Intelligent Transport Systems (1 paper)Multimedia Tools and Applications (1 paper)
- Partner nations
- TaiwanUnited StatesJapan
In The Last Decade
Kuan‐Wu Su
14 papers receiving 293 citations
Peers
Comparison fields: 5 of 55
- Computer Networks and Communications 191
- Transportation 34
- Electrical and Electronic Engineering 170
- Building and Construction 24
- Artificial Intelligence 40
Countries citing papers authored by Kuan‐Wu Su
This map shows the geographic impact of Kuan‐Wu Su'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 Kuan‐Wu Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuan‐Wu Su more than expected).
Fields of papers citing papers by Kuan‐Wu Su
This network shows the impact of papers produced by Kuan‐Wu Su. 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 Kuan‐Wu Su. The network helps show where Kuan‐Wu Su may publish in the future.
Co-authors
The 9 scholars most cited alongside Kuan‐Wu Su, 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 | 2014 | 198 | |
| 2 | 2020 | 39 | |
| 3 | 2018 | 23 | |
| 4 | 2020 | 22 | |
| 5 | 2019 | 7 | |
| 6 | 2016 | 7 | |
| 7 | 2013 | 6 | |
| 8 | 2012 | 3 | |
| 9 | 2012 | 3 | |
| 10 | 2017 | 2 | |
| 11 | 2019 | 2 | |
| 12 | 2009 | 1 | |
| 13 | 2018 | 1 | |
| 14 | 2020 | 1 | |
| 15 | 2017 | 0 |
About Kuan‐Wu Su
Kuan‐Wu Su is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence and Information Systems, having authored 15 papers that have together received 315 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (5 papers), Photovoltaic System Optimization Techniques (2 papers), Energy Efficient Wireless Sensor Networks (2 papers), Energy Load and Power Forecasting (2 papers), Music and Audio Processing (2 papers), Augmented Reality Applications (2 papers), Solar Radiation and Photovoltaics (2 papers) and Vehicle Routing Optimization Methods (1 paper). The work is most often cited by research in Computer Networks and Communications (191 citations), Transportation (34 citations), Electrical and Electronic Engineering (170 citations), Building and Construction (24 citations) and Artificial Intelligence (40 citations). Kuan‐Wu Su has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Jenq‐Shiou Leu, He‐Yen Hsieh, Yanru Chen, Jun‐ichi Takada, Chi‐Feng Chen, Michael L. Mark, Tian Song, Jiří Hošek and Jingwen Liu. Their work appears in journals such as IEEE Communications Letters, Wireless Personal Communications, Wireless Networks, IET Intelligent Transport Systems and Multimedia Tools and Applications.
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.