Robert C. Qiu
Impact in
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- Ultra-Wideband Communications Technology
- Millimeter-Wave Propagation and Modeling
- Advanced MIMO Systems Optimization
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- Cognitive Radio Networks and Spectrum Sensing
Papers in
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- Blind Source Separation Techniques 26
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- Cognitive Radio Networks and Spectrum Sensing 38
- Distributed Sensor Networks and Detection Algorithms 21
Robert C. Qiu
226 papers receiving 4.7k citations
Peers
Comparison fields: 5 of 111
- Electrical and Electronic Engineering 3.2k
- Computer Networks and Communications 1.3k
- Computational Mathematics 26
- Signal Processing 465
- Aerospace Engineering 1.0k
Countries citing papers authored by Robert C. Qiu
This map shows the geographic impact of Robert C. Qiu'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 Robert C. Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert C. Qiu more than expected).
Fields of papers citing papers by Robert C. Qiu
This network shows the impact of papers produced by Robert C. Qiu. 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 Robert C. Qiu. The network helps show where Robert C. Qiu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Robert C. Qiu, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 6 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 3 | |
| 9 | 2024 | 5 | |
| 10 | 2024 | 1 | |
| 11 | 2024 | 4 | |
| 12 | 2023 | 13 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 33 | |
| 15 | 2021 | 37 | |
| 16 | 2019 | 47 | |
| 17 | 2018 | 7 | |
| 18 | Incipient Fault Detection and Location in Distribution Networks: A Data-Driven Approach | 2018 | 2 |
| 19 | 2017 | 23 | |
| 20 | 2016 | 102 |
About Robert C. Qiu
Robert C. Qiu is a scholar working on Signal Processing, Computer Networks and Communications, Computational Mathematics, Electrical and Electronic Engineering and Computational Mechanics, having authored 242 papers that have together received 4.9k indexed citations. Recurring topics across this work include Ultra-Wideband Communications Technology (52 papers), Microwave Imaging and Scattering Analysis (40 papers), Cognitive Radio Networks and Spectrum Sensing (38 papers), Antenna Design and Analysis (30 papers), Blind Source Separation Techniques (26 papers), Sparse and Compressive Sensing Techniques (25 papers), Advanced Adaptive Filtering Techniques (22 papers) and Distributed Sensor Networks and Detection Algorithms (21 papers). The work is most often cited by research in Electrical and Electronic Engineering (3.2k citations), Computer Networks and Communications (1.3k citations), Computational Mathematics (26 citations), Signal Processing (465 citations) and Aerospace Engineering (1.0k citations). Robert C. Qiu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Nan Guo, Xing He, Zhen Hu, Lei Chu, Zhe Chen, Fei Wen, Qian Ai, Peilin Liu, Dongxia Zhang and Xuemin Shen. Their work appears in journals such as IEEE Access, IEEE Transactions on Vehicular Technology, IEEE Transactions on Wireless Communications, IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid.
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.