Tie-Jun Shan

2.6k total citations · 1 hit paper
7 papers, 2.0k citations indexed

About

Tie-Jun Shan is a scholar working on Signal Processing, Oceanography and Aerospace Engineering. According to data from OpenAlex, Tie-Jun Shan has authored 7 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Signal Processing, 3 papers in Oceanography and 2 papers in Aerospace Engineering. Recurrent topics in Tie-Jun Shan's work include Direction-of-Arrival Estimation Techniques (6 papers), Speech and Audio Processing (5 papers) and Underwater Acoustics Research (3 papers). Tie-Jun Shan is often cited by papers focused on Direction-of-Arrival Estimation Techniques (6 papers), Speech and Audio Processing (5 papers) and Underwater Acoustics Research (3 papers). Tie-Jun Shan collaborates with scholars based in United States. Tie-Jun Shan's co-authors include T. Kailath, M. Wax, Alfred M. Bruckstein⋆, A. Paulraj and Bernard Widrow and has published in prestigious journals such as IEEE Transactions on Acoustics Speech and Signal Processing and IRE Transactions on Antennas and Propagation.

In The Last Decade

Tie-Jun Shan

7 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

On spatial smoothing for direction-of-arrival estimation of coherent signals

1985 1.4k citations Tie-Jun Shan, M. Wax et al. IEEE Transactions on Acoustics Speech and Signal Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tie-Jun Shan United States	5	1.7k	726	485	349	323	7	2.0k
Peter Stoica Sweden	12	800 0.5×	1.1k 1.5×	326 0.7×	287 0.8×	173 0.5×	38	1.6k
I. Ziskind Israel	7	1.3k 0.8×	594 0.8×	469 1.0×	242 0.7×	181 0.6×	15	1.6k
R.M. Zeskind United States	6	1.3k 0.8×	411 0.6×	205 0.4×	680 1.9×	243 0.8×	13	1.5k
B.D. Carlson United States	10	747 0.5×	961 1.3×	306 0.6×	303 0.9×	155 0.5×	14	1.6k
Shefeng Yan China	23	955 0.6×	690 1.0×	422 0.9×	390 1.1×	312 1.0×	118	1.6k
K.V.S. Hari India	13	1.0k 0.6×	530 0.7×	805 1.7×	274 0.8×	145 0.4×	77	1.7k
Nathan A. Goodman United States	22	840 0.5×	1.4k 2.0×	426 0.9×	395 1.1×	221 0.7×	99	2.1k
E. Paldi United States	7	882 0.5×	369 0.5×	369 0.8×	90 0.3×	377 1.2×	14	1.2k
Xue Jiang China	22	295 0.2×	495 0.7×	199 0.4×	326 0.9×	135 0.4×	107	1.2k
George-Othon Glentis Greece	15	411 0.2×	274 0.4×	176 0.4×	496 1.4×	39 0.1×	90	1.0k

Countries citing papers authored by Tie-Jun Shan

Since Specialization

Citations

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

Fields of papers citing papers by Tie-Jun Shan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tie-Jun Shan

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Wax, M., Tie-Jun Shan, & T. Kailath. (2005). Covariance eigenstructure approach to 2-D harmonic retrievel. 8. 891–894. 3 indexed citations

2.

Shan, Tie-Jun. (2005). On predictive least squares filtering. 12. 1312–1315. 2 indexed citations

3.

Shan, Tie-Jun, A. Paulraj, & T. Kailath. (1987). On smoothed rank profile tests in eigenstructure methods for directions-of-arrival estimation. IEEE Transactions on Acoustics Speech and Signal Processing. 35(10). 1377–1385. 62 indexed citations

4.

Shan, Tie-Jun, et al.. (1986). Parallel spatial processing: A cure for signal cancellation in adaptive arrays. IRE Transactions on Antennas and Propagation. 34(3). 347–355. 27 indexed citations

5.

Shan, Tie-Jun, M. Wax, & T. Kailath. (1985). On spatial smoothing for direction-of-arrival estimation of coherent signals. IEEE Transactions on Acoustics Speech and Signal Processing. 33(4). 806–811. 1417 indexed citations breakdown →

6.

Bruckstein⋆, Alfred M., Tie-Jun Shan, & T. Kailath. (1985). The resolution of overlapping echos. IEEE Transactions on Acoustics Speech and Signal Processing. 33(6). 1357–1367. 114 indexed citations

7.

Shan, Tie-Jun & T. Kailath. (1985). Adaptive beamforming for coherent signals and interference. IEEE Transactions on Acoustics Speech and Signal Processing. 33(3). 527–536. 331 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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