Ruixin Niu
- Computer Networks and Communications top 0.5%
- Distributed Sensor Networks and Detection Algorithms 59
- Energy Efficient Wireless Sensor Networks 8
- Artificial Intelligence top 0.5%
- Target Tracking and Data Fusion in Sensor Networks 77
- Aerospace Engineering top 2%
- Radar Systems and Signal Processing 9
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- Fault Detection and Control Systems 15
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- Indoor and Outdoor Localization Technologies 20
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- Sparse and Compressive Sensing Techniques 9
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- Blind Source Separation Techniques 6
Ruixin Niu
98 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 110
- Computer Networks and Communications 1.7k
- Artificial Intelligence 1.5k
- Aerospace Engineering 488
- Control and Systems Engineering 417
- Electrical and Electronic Engineering 917
Countries citing papers authored by Ruixin Niu
This map shows the geographic impact of Ruixin Niu'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 Ruixin Niu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruixin Niu more than expected).
Fields of papers citing papers by Ruixin Niu
This network shows the impact of papers produced by Ruixin Niu. 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 Ruixin Niu. The network helps show where Ruixin Niu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ruixin Niu, 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 | 2024 | 7 | |
| 2 | 2024 | 2 | |
| 3 | 2022 | 41 | |
| 4 | 2020 | 0 | |
| 5 | 2018 | 14 | |
| 6 | Censoring in distributed radar tracking systems with various feedback models | 2015 | 1 |
| 7 | A new joint sequential object detection and tracking approach and its performance analysis | 2014 | 0 |
| 8 | False information injection attack on dynamic state estimation in multi-sensor systems | 2014 | 14 |
| 9 | Joint object detection and tracking in sensor networks | 2013 | 0 |
| 10 | 2012 | 38 | |
| 11 | 2012 | 8 | |
| 12 | Dynamic bandwidth allocation for target tracking in wireless sensor networks | 2011 | 4 |
| 13 | Channel aware target tracking in multi-hop wireless sensor networks | 2011 | 1 |
| 14 | 2011 | 2 | |
| 15 | Conditional Posterior Cramér-Rao lower bounds for nonlinear recursive filtering | 2009 | 5 |
| 16 | 2008 | 17 | |
| 17 | 2006 | 13 | |
| 18 | Sensor Fusion for Video Surveillance | 2004 | 29 |
| 19 | 2003 | 35 | |
| 20 | 2003 | 4 |
About Ruixin Niu
Ruixin Niu is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 106 papers that have together received 2.6k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (77 papers), Distributed Sensor Networks and Detection Algorithms (59 papers), Indoor and Outdoor Localization Technologies (20 papers), Fault Detection and Control Systems (15 papers), Sparse and Compressive Sensing Techniques (9 papers), Radar Systems and Signal Processing (9 papers), Energy Efficient Wireless Sensor Networks (8 papers) and Blind Source Separation Techniques (6 papers). The work is most often cited by research in Computer Networks and Communications (1.7k citations), Artificial Intelligence (1.5k citations) and Aerospace Engineering (488 citations). Ruixin Niu has collaborated with scholars based in United States, China and Türkiye. Frequent co-authors include Pramod K. Varshney, Pramod K. Varshney, Biao Chen, Onur Özdemir, Engin Maşazade, Peter Willett, Yaakov Bar‐Shalom, Andrew Drozd, Rick S. Blum and Qi Cheng. Their work appears in journals such as Proceedings of the IEEE, Small 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.