Chaoqun Yang
- Aerospace Engineering top 2%
- Radar Systems and Signal Processing 6
- UAV Applications and Optimization 5
- Infrared Target Detection Methodologies 4
- Signal Processing top 5%
- Speech and Audio Processing 6
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- Video Surveillance and Tracking Methods 5
- Artificial Intelligence top 5%
- Target Tracking and Data Fusion in Sensor Networks 11
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- Indoor and Outdoor Localization Technologies 6
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- Smart Grid Security and Resilience 5
- Journals
- IEEE Communications Magazine (1 paper)IEEE Transactions on Software Engineering (1 paper)IEEE Transactions on Vehicular Technology (3 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Chaoqun Yang
38 papers receiving 808 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Aerospace Engineering 443
- Signal Processing 121
- Computer Vision and Pattern Recognition 197
- Computer Networks and Communications 209
- Artificial Intelligence 215
Countries citing papers authored by Chaoqun Yang
This map shows the geographic impact of Chaoqun Yang'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 Chaoqun Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoqun Yang more than expected).
Fields of papers citing papers by Chaoqun Yang
This network shows the impact of papers produced by Chaoqun Yang. 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 Chaoqun Yang. The network helps show where Chaoqun Yang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chaoqun Yang, 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 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 6 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 2 | |
| 8 | 2024 | 0 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 1 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 12 | |
| 13 | 2023 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2021 | 27 | |
| 16 | 2020 | 98 | |
| 17 | 2019 | 39 | |
| 18 | 2018 | 68 | |
| 19 | 2018 | 33 | |
| 20 | 2018 | 1 |
About Chaoqun Yang
Chaoqun Yang is a scholar working on Signal Processing, Hardware and Architecture and Aerospace Engineering, having authored 46 papers that have together received 851 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (11 papers), Speech and Audio Processing (6 papers), Radar Systems and Signal Processing (6 papers), Indoor and Outdoor Localization Technologies (6 papers), Video Surveillance and Tracking Methods (5 papers), UAV Applications and Optimization (5 papers), Smart Grid Security and Resilience (5 papers) and Infrared Target Detection Methodologies (4 papers). The work is most often cited by research in Aerospace Engineering (443 citations), Signal Processing (121 citations) and Computer Vision and Pattern Recognition (197 citations). Chaoqun Yang has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Zhiguo Shi, Xiufang Shi, Jiming Chen, Chao Liang, Junfeng Wu, Heng Zhang, Shibo He, Li Feng, Xianghui Cao and Jun Jason Zhang. Their work appears in journals such as IEEE Communications Magazine, IEEE Transactions on Software Engineering and IEEE Transactions on Vehicular Technology.
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.