Yuxun Zhou
- Electrical and Electronic Engineering top 5%
- Building and Construction top 1%
- Computer Vision and Pattern Recognition top 2%
- Computer Networks and Communications top 2%
- Signal Processing top 2%
- Co-authors
- Costas J. SpanosHan ZouJianfei YangLihua XieReza ArghandehJoyce KimStefano SchiavonPaul Raftery
- Topics
- Indoor and Outdoor Localization Technologies (20 papers)Anomaly Detection Techniques and Applications (12 papers)Fault Detection and Control Systems (11 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Yuxun Zhou
70 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Electrical and Electronic Engineering 1.3k
- Building and Construction 705
- Computer Vision and Pattern Recognition 514
- Computer Networks and Communications 452
- Signal Processing 424
Countries citing papers authored by Yuxun Zhou
This map shows the geographic impact of Yuxun Zhou'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 Yuxun Zhou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuxun Zhou more than expected).
Fields of papers citing papers by Yuxun Zhou
This network shows the impact of papers produced by Yuxun Zhou. 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 Yuxun Zhou. The network helps show where Yuxun Zhou may publish in the future.
Co-authorship network of co-authors of Yuxun Zhou
This figure shows the co-authorship network connecting the top 25 collaborators of Yuxun Zhou. A scholar is included among the top collaborators of Yuxun Zhou 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 Yuxun Zhou. Yuxun Zhou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 19 | |
| 4 | 2 | |
| 5 | 23 | |
| 6 | 2 | |
| 7 | 49 | |
| 8 | 63 | |
| 9 | 36 | |
| 10 | 78 | |
| 11 | 12 | |
| 12 | Poster Abstract: Predicting Blood Glucose Dynamics with Multi-time-series Deep Learning | 3 |
| 13 | 147 | |
| 14 | Causal meets Submodular: Subset Selection with Directed Information | 28 |
| 15 | 18 | |
| 16 | 26 | |
| 17 | 5 | |
| 18 | 2 | |
| 19 | 11 | |
| 20 | 4 |
About Yuxun Zhou
Yuxun Zhou is a scholar working on Signal Processing, Computer Networks and Communications and Control and Systems Engineering, having authored 74 papers that have together received 2.6k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (20 papers), Anomaly Detection Techniques and Applications (12 papers) and Fault Detection and Control Systems (11 papers). The work is most often cited by research in Building and Construction (705 citations), Signal Processing (424 citations) and Computer Vision and Pattern Recognition (514 citations). Yuxun Zhou has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Costas J. Spanos, Han Zou, Jianfei Yang, Lihua Xie, Reza Arghandeh, Joyce Kim, Stefano Schiavon, Paul Raftery, Gail Brager and Weixi Gu. Their work appears in journals such as Analytical Chemistry, Proceedings of the IEEE 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.