T. Shan

626 total citations
14 papers, 135 citations indexed

About

T. Shan is a scholar working on Signal Processing, Computational Mechanics and Electrical and Electronic Engineering. According to data from OpenAlex, T. Shan has authored 14 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 7 papers in Computational Mechanics and 4 papers in Electrical and Electronic Engineering. Recurrent topics in T. Shan's work include Speech and Audio Processing (7 papers), Advanced Adaptive Filtering Techniques (7 papers) and Direction-of-Arrival Estimation Techniques (5 papers). T. Shan is often cited by papers focused on Speech and Audio Processing (7 papers), Advanced Adaptive Filtering Techniques (7 papers) and Direction-of-Arrival Estimation Techniques (5 papers). T. Shan collaborates with scholars based in United States and China. T. Shan's co-authors include T. Kailath, A. Paulraj, V.U. Reddy, Alfred M. Bruckstein⋆, Jianping Huang, Ning Qin and Jidong Yang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Circuits and Systems and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

In The Last Decade

T. Shan

8 papers receiving 130 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
T. Shan United States 4 104 83 30 15 15 14 135
Zayed M. Ramadan United States 8 60 0.6× 58 0.7× 12 0.4× 7 0.5× 4 0.3× 13 126
Lucas N. Ribeiro Brazil 8 77 0.7× 76 0.9× 187 6.2× 9 0.6× 80 5.3× 16 283
Dan Simon Romania 4 12 0.1× 24 0.3× 43 1.4× 19 1.3× 16 1.1× 8 96
Guodong Qin China 8 230 2.2× 30 0.4× 106 3.5× 7 0.5× 159 10.6× 17 294
Nicolas Petrochilos France 9 90 0.9× 17 0.2× 58 1.9× 13 0.9× 122 8.1× 17 196
T. Takai Japan 6 23 0.2× 56 0.7× 5 0.2× 29 1.9× 41 2.7× 10 269
Caroline Lelandais-Perrault France 7 32 0.3× 21 0.3× 130 4.3× 12 0.8× 8 0.5× 17 164
P. V. Hunagund India 8 22 0.2× 13 0.2× 179 6.0× 11 0.7× 180 12.0× 72 240
Ruojin Cai United States 5 10 0.1× 15 0.2× 8 0.3× 13 0.9× 25 1.7× 9 128
Jeff P. Hultquist United States 5 7 0.1× 78 0.9× 13 0.4× 3 0.2× 5 0.3× 6 249

Countries citing papers authored by T. Shan

Since Specialization
Citations

This map shows the geographic impact of T. Shan'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 T. Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Shan more than expected).

Fields of papers citing papers by T. Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Shan

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

All Works

14 of 14 papers shown
1.
Shan, T.. (2024). Advancements in VLSI low-power design: Strategies and optimization techniques. Applied and Computational Engineering. 41(1). 22–28. 1 indexed citations
2.
Yang, Jidong, et al.. (2024). An Adaptive High-Dimensional Progressive Denoising Method for Seismic Weak Signal Enhancement. IEEE Transactions on Geoscience and Remote Sensing. 62. 1–10.
3.
Shan, T.. (2023). Advantages of FINFET over traditional CMOS: Reasons and implications. Theoretical and Natural Science. 14(1). 219–223.
4.
Shan, T., A. Paulraj, & T. Kailath. (2005). On smoothed rank profile tests in eigenstructure approach to directions-of-arrival estimation. 11. 1905–1908.
5.
Shan, T. & T. Kailath. (2005). New adaptive processor for coherent signals and interference. 9. 726–729.
6.
Shan, T. & T. Kailath. (2005). Directional signal separation by adaptive arrays with a root-tracking algorithm. 12. 2288–2291. 1 indexed citations
7.
8.
Shan, T., Alfred M. Bruckstein⋆, & T. Kailath. (2005). Adaptive Resolution Of Overlapping Echoes. 431–435. 2 indexed citations
9.
Bruckstein⋆, Alfred M., T. Shan, & T. Kailath. (2005). A time-domain signal resolution problem. 11. 1665–1668.
10.
Shan, T. & T. Kailath. (1988). Adaptive algorithms with an automatic gain control feature. IEEE Transactions on Circuits and Systems. 35(1). 122–127. 85 indexed citations
11.
Paulraj, A., V.U. Reddy, T. Shan, & T. Kailath. (1986). Performance Analysis of the Music Algorithm with Spatial Smoothing in the Presence of Coherent Sources. 41.5.1–41.5.5. 30 indexed citations
12.
Paulraj, A., T. Shan, V.U. Reddy, & T. Kailath. (1986). A Subspace Approach To Determining Sensor Gain And Phase With Applications To Array Processing. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 696. 102–102. 11 indexed citations
13.
Shan, T. & T. Kailath. (1985). Adaptive Filtering Algorithms With Automatic Gain Control. 509–513. 3 indexed citations
14.
Shan, T. & T. Kailath. (1983). A New Adaptive Antenna System for Coherent Signals and Interference.. Defense Technical Information Center (DTIC). 84. 34683. 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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2026