Yan Wu
Impact in
-
- Robot Manipulation and Learning
-
- Wireless Communication Networks Research
Papers in
-
- Robot Manipulation and Learning 25
-
- Wireless Communication Networks Research 20
- Co-authors
- Keng Peng Tee (9 shared papers)Jan W. M. Bergmans (18 shared papers)Jean‐Paul M. G. Linnartz (12 shared papers)Yiannis Demiris (9 shared papers)Xiong Deng (7 shared papers)Behrouz Farhang‐Boroujeny (7 shared papers)Sumei Sun (12 shared papers)Saeed Sadri (4 shared papers)
- Journals
- IEEE Robotics and Automation Letters (6 papers)IEEE Transactions on Vehicular Technology (4 papers)IEEE Transactions on Communications (3 papers)IEEE Wireless Communications Letters (2 papers)IEEE Transactions on Signal Processing (2 papers)
- Partner nations
- SingaporeChinaNetherlands
In The Last Decade
Yan Wu
116 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 111
- Control and Systems Engineering 417
- Computer Networks and Communications 318
- Electrical and Electronic Engineering 691
- Computer Vision and Pattern Recognition 197
- Cognitive Neuroscience 162
Countries citing papers authored by Yan Wu
This map shows the geographic impact of Yan 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 Yan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Wu more than expected).
Fields of papers citing papers by Yan Wu
This network shows the impact of papers produced by Yan 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 Yan Wu. The network helps show where Yan Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan 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
Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 132 | |
| 2 | 2016 | 105 | |
| 3 | 2011 | 97 | |
| 4 | 2019 | 89 | |
| 5 | 2018 | 70 | |
| 6 | 2020 | 57 | |
| 7 | 2008 | 49 | |
| 8 | 2019 | 43 | |
| 9 | 2011 | 40 | |
| 10 | 2019 | 40 | |
| 11 | 2010 | 38 | |
| 12 | 2023 | 35 | |
| 13 | 2003 | 34 | |
| 14 | 2016 | 33 | |
| 15 | 2014 | 32 | |
| 16 | 2017 | 28 | |
| 17 | 2018 | 28 | |
| 18 | 2020 | 27 | |
| 19 | 2017 | 27 | |
| 20 | 2011 | 25 |
About Yan Wu
Yan Wu is a scholar working on Control and Systems Engineering, Computer Networks and Communications, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 126 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Wireless Communication Techniques (28 papers), Robot Manipulation and Learning (25 papers), Wireless Communication Networks Research (20 papers), PAPR reduction in OFDM (18 papers), Reinforcement Learning in Robotics (8 papers), Advanced Sensor and Energy Harvesting Materials (7 papers), Advanced MIMO Systems Optimization (7 papers) and Tactile and Sensory Interactions (7 papers). The work is most often cited by research in Control and Systems Engineering (417 citations), Computer Networks and Communications (318 citations), Electrical and Electronic Engineering (691 citations), Computer Vision and Pattern Recognition (197 citations) and Cognitive Neuroscience (162 citations). Yan Wu has collaborated with scholars based in Singapore, China and Netherlands. Frequent co-authors include Keng Peng Tee, Jan W. M. Bergmans, Jean‐Paul M. G. Linnartz, Yiannis Demiris, Xiong Deng, Behrouz Farhang‐Boroujeny, Sumei Sun, Saeed Sadri, Hamid Saeedi‐Sourck and Rui Yan. Their work appears in journals such as IEEE Robotics and Automation Letters, IEEE Transactions on Vehicular Technology, IEEE Transactions on Communications, IEEE Wireless Communications Letters and IEEE Transactions on Signal Processing.
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.