Wee Peng Tay
- Computer Networks and Communications top 1%
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 1%
- Statistical and Nonlinear Physics top 1%
- Control and Systems Engineering top 5%
- Topics
- Distributed Sensor Networks and Detection Algorithms (39 papers)Complex Network Analysis Techniques (38 papers)Indoor and Outdoor Localization Technologies (34 papers)
- Cited by
- Computer Networks and CommunicationsStatistical and Nonlinear PhysicsArtificial Intelligence
- Partner nations
- SingaporeChinaUnited States
In The Last Decade
Wee Peng Tay
183 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Computer Networks and Communications 1.2k
- Electrical and Electronic Engineering 983
- Artificial Intelligence 867
- Statistical and Nonlinear Physics 535
- Control and Systems Engineering 377
Countries citing papers authored by Wee Peng Tay
This map shows the geographic impact of Wee Peng Tay'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 Wee Peng Tay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wee Peng Tay more than expected).
Fields of papers citing papers by Wee Peng Tay
This network shows the impact of papers produced by Wee Peng Tay. 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 Wee Peng Tay. The network helps show where Wee Peng Tay may publish in the future.
Co-authorship network of co-authors of Wee Peng Tay
This figure shows the co-authorship network connecting the top 25 collaborators of Wee Peng Tay. A scholar is included among the top collaborators of Wee Peng Tay based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wee Peng Tay. Wee Peng Tay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 7 | |
| 8 | 11 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 9 | |
| 13 | 9 | |
| 14 | 34 | |
| 15 | 9 | |
| 16 | 7 | |
| 17 | 19 | |
| 18 | 19 | |
| 19 | 37 | |
| 20 | 10 |
About Wee Peng Tay
Wee Peng Tay is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence, having authored 189 papers that have together received 2.8k indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (39 papers), Complex Network Analysis Techniques (38 papers) and Indoor and Outdoor Localization Technologies (34 papers). The work is most often cited by research in Computer Networks and Communications (1.2k citations), Statistical and Nonlinear Physics (535 citations) and Artificial Intelligence (867 citations). Wee Peng Tay has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Wuqiong Luo, Mei Leng, Yonggang Wen, Guoqiang Hu, Tony Q. S. Quek, Jianhua Tang, Moe Z. Win, Feng Ji, John N. Tsitsiklis and John N. Tsitsiklis. Their work appears in journals such as PLoS ONE, IEEE Transactions on Information Theory and IEEE Transactions on Industrial Electronics.
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.