Taifan Quan
- Artificial Intelligence top 10%
- Aerospace Engineering top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Topics
- Target Tracking and Data Fusion in Sensor Networks (26 papers)Radar Systems and Signal Processing (19 papers)Underwater Acoustics Research (9 papers)
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Taifan Quan
54 papers receiving 419 citations
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 170
- Aerospace Engineering 160
- Electrical and Electronic Engineering 105
- Computer Networks and Communications 102
- Computer Vision and Pattern Recognition 91
Countries citing papers authored by Taifan Quan
This map shows the geographic impact of Taifan Quan'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 Taifan Quan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taifan Quan more than expected).
Fields of papers citing papers by Taifan Quan
This network shows the impact of papers produced by Taifan Quan. 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 Taifan Quan. The network helps show where Taifan Quan may publish in the future.
Co-authorship network of co-authors of Taifan Quan
This figure shows the co-authorship network connecting the top 25 collaborators of Taifan Quan. A scholar is included among the top collaborators of Taifan Quan 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 Taifan Quan. Taifan Quan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | Target flying mode identification and altitude estimation in Bistatic T/R-R HFSWR | 1 |
| 3 | Radar HRRP adaptive denoising via sparse and redundant representations | 0 |
| 4 | Altitude and RCS estimation with echo amplitude in bistatic high frequency surface wave radar | 0 |
| 5 | 21 | |
| 6 | 1 | |
| 7 | A sequential tracking filter without requirement of measurement decorrelation | 2 |
| 8 | HF radar sea clutter rejection by nonlinear projections | 2 |
| 9 | Enhanced sequential nonlinear tracking filter with denoised pseudo measurements | 7 |
| 10 | HF ground wave bi-station radar tracking and filtering without azimuthal measurements | 0 |
| 11 | 0 | |
| 12 | 1 | |
| 13 | Particle filter algorithm based on a new sampling method | 1 |
| 14 | HPEKF algorithm of target altitude estimation initializing in HF surface wave radar | 1 |
| 15 | Estimation of Target Altitude Based on AR Model in HF Surface Wave Radar | 1 |
| 16 | 2 | |
| 17 | New-type genetic algorithm for weapon-target assignment of the antiaircraft command system | 1 |
| 18 | 4 | |
| 19 | The Suppression of Radio Interference in HF Radar | 1 |
| 20 | A NEW ALGORITHM FOR MANEUVRING TARGETS TRACKING | 2 |
About Taifan Quan
Taifan Quan is a scholar working on Aerospace Engineering, Artificial Intelligence and Oceanography, having authored 68 papers that have together received 451 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (26 papers), Radar Systems and Signal Processing (19 papers) and Underwater Acoustics Research (9 papers). The work is most often cited by research in Aerospace Engineering (160 citations), Artificial Intelligence (170 citations) and Media Technology (40 citations). Taifan Quan has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Nan Zhao, Zhilu Wu, Gongjian Zhou, Yaqin Zhao, Changjun Yu, Lihui Jiang, Guanghui Ren, Junhao Xie, Thiagalingam Kirubarajan and Yuanyuan He. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Sensors.
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.