Tai Fei

539 total citations
42 papers, 383 citations indexed

About

Tai Fei is a scholar working on Aerospace Engineering, Biomedical Engineering and Signal Processing. According to data from OpenAlex, Tai Fei has authored 42 papers receiving a total of 383 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Aerospace Engineering, 15 papers in Biomedical Engineering and 9 papers in Signal Processing. Recurrent topics in Tai Fei's work include Radar Systems and Signal Processing (20 papers), Advanced SAR Imaging Techniques (17 papers) and Microwave Imaging and Scattering Analysis (9 papers). Tai Fei is often cited by papers focused on Radar Systems and Signal Processing (20 papers), Advanced SAR Imaging Techniques (17 papers) and Microwave Imaging and Scattering Analysis (9 papers). Tai Fei collaborates with scholars based in Germany, China and Australia. Tai Fei's co-authors include Nils Pohl, Yuliang Sun, Ernst Warsitz, Dieter Kraus, Alexander Warnecke, Xibo Li, Abdelhak M. Zoubir, F. Schliep, Rainer Martin and Reinhold Haeb‐Umbach and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and IEEE Transactions on Vehicular Technology.

In The Last Decade

Tai Fei

34 papers receiving 376 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tai Fei Germany 9 194 128 118 91 54 42 383
Mehmet Saygın Seyfioğlu Türkiye 8 296 1.5× 248 1.9× 34 0.3× 64 0.7× 73 1.4× 14 497
Barış Erol United States 16 428 2.2× 459 3.6× 60 0.5× 133 1.5× 91 1.7× 23 649
Dave Tahmoush United States 10 384 2.0× 276 2.2× 22 0.2× 89 1.0× 59 1.1× 36 500
Miguel Ortiz France 9 223 1.1× 36 0.3× 26 0.2× 204 2.2× 81 1.5× 33 395
Zhaoxi Chen China 8 151 0.8× 128 1.0× 40 0.3× 35 0.4× 178 3.3× 19 412
Ningbo Long China 9 430 2.2× 159 1.2× 36 0.3× 114 1.3× 103 1.9× 12 605
Zhaocheng Yang China 15 498 2.6× 158 1.2× 31 0.3× 108 1.2× 58 1.1× 73 696
Michailas Romanovas Germany 12 139 0.7× 43 0.3× 25 0.2× 126 1.4× 62 1.1× 28 305
Nur Emileen Abd Rashid Malaysia 11 276 1.4× 126 1.0× 13 0.1× 139 1.5× 24 0.4× 94 417
Shelly Vishwakarma United Kingdom 13 150 0.8× 141 1.1× 13 0.1× 126 1.4× 62 1.1× 28 318

Countries citing papers authored by Tai Fei

Since Specialization
Citations

This map shows the geographic impact of Tai Fei'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 Tai Fei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tai Fei more than expected).

Fields of papers citing papers by Tai Fei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tai Fei. 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 Tai Fei. The network helps show where Tai Fei may publish in the future.

Co-authorship network of co-authors of Tai Fei

This figure shows the co-authorship network connecting the top 25 collaborators of Tai Fei. A scholar is included among the top collaborators of Tai Fei 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 Tai Fei. Tai Fei is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Shengheng, et al.. (2025). TRANM: Decoherenced DoA estimation for automotive radar using generalized sparse arrays. Signal Processing. 231. 109895–109895.
2.
Fei, Tai, et al.. (2025). Sequential maximum-likelihood estimation of wideband polynomial-phase signals on sensor array. Signal Processing. 238. 110105–110105.
3.
Fei, Tai, et al.. (2025). Interference Mitigation in Automotive Radar Systems: A Current State Survey and Future Trends. IEEE Transactions on Intelligent Transportation Systems. 27(1). 53–80.
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Fei, Tai, et al.. (2025). Unified Model and Survey on Modulation Schemes for Next-Generation Automotive Radar Systems. Remote Sensing. 17(8). 1355–1355.
6.
Fei, Tai, et al.. (2024). MLS-based Transmitter Orthogonality Analysis in MIMO-PMCW Automotive Radar Systems. 1–5. 1 indexed citations
7.
Fei, Tai, et al.. (2024). Multi-target Doppler ambiguity identification for a PMCW automotive radar system. Science Talks. 10. 100320–100320.
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Fei, Tai, et al.. (2024). An Improved Stepped-Frequency PMCW Waveform for Automotive Radar Applications. 193–196. 4 indexed citations
11.
Fei, Tai, et al.. (2021). A DNN Autoencoder for Automotive Radar Interference Mitigation. 4065–4069. 19 indexed citations
12.
Sun, Yuliang, Tai Fei, Xibo Li, et al.. (2020). Real-Time Radar-Based Gesture Detection and Recognition Built in an Edge-Computing Platform. IEEE Sensors Journal. 20(18). 10706–10716. 104 indexed citations
13.
Sun, Yuliang, Tai Fei, Xibo Li, et al.. (2020). Multi-Feature Encoder for Radar-Based Gesture Recognition. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 351–356. 8 indexed citations
14.
Sun, Yuliang, Tai Fei, & Nils Pohl. (2019). A High-Resolution Framework for Range-Doppler Frequency Estimation in Automotive Radar Systems. IEEE Sensors Journal. 19(23). 11346–11358. 22 indexed citations
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Fei, Tai, et al.. (2017). Detection of moving targets in automotive radar with distorted ego-velocity information. 111–116. 5 indexed citations
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Fei, Tai, et al.. (2013). A new idea on feature selection and its application to the underwater object recognition. Proceedings of meetings on acoustics. 70071–70071. 3 indexed citations
20.
Fei, Tai, et al.. (2010). On Sonar Image Processing Techniques for Anomaly Detection in Underwater Constructions. 1–4. 2 indexed citations

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.

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