Tianshi Chen

93 papers receiving 2.3k citations

Hit Papers

Kernel methods in system identification, machine learning...201220262016202120142012100200300400

Peers

Tianshi Chen
Comparison fields: 5 of 92
  • Control and Systems Engineering 1.8k
  • Civil and Structural Engineering 765
  • Artificial Intelligence 614
  • Statistics, Probability and Uncertainty 336
  • Computational Mechanics 193
Replace Gianluigi Pillonetto with:
Gianluigi Pillonetto Italy
Roland Tóth Netherlands
Tohru Katayama Japan
M. Milanese Italy
Marco Lovera Italy
Cristian R. Rojas Sweden
J. Bokor Hungary
Jian Pan China
M.J. Grimble United Kingdom
Tianshi Chen relative to Gianluigi Pillonetto Italy Gianluigi Pillonetto's profile →
Citations per field
00.5×1.5×
Gianluigi Pillonetto · 1×
Citations per year

Countries citing papers authored by Tianshi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Tianshi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tianshi Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Tianshi Chen. A scholar is included among the top collaborators of Tianshi Chen 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 Tianshi Chen. Tianshi Chen 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
#WorkIndexed citations
1 0
2 1
3 1
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5 11
6 11
7 5
8 1
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10 31
11
On Effects of Condition Number of Regression Matrix upon Hyper-parameter Estimators for Kernel-based Regularization Methods.
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12 40
13 11
14 7
15 1
16
Kernel methods in system identification, machine learning and function estimation: A surveybreakdown →
494
17 7
18 41
19 3
20 26

About Tianshi Chen

Tianshi Chen is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Civil and Structural Engineering, having authored 98 papers that have together received 2.4k indexed citations. Recurring topics across this work include Control Systems and Identification (69 papers), Fault Detection and Control Systems (48 papers) and Structural Health Monitoring Techniques (35 papers). The work is most often cited by research in Control and Systems Engineering (1.8k citations), Statistics, Probability and Uncertainty (336 citations) and Civil and Structural Engineering (765 citations). Tianshi Chen has collaborated with scholars based in China, Sweden and Italy. Frequent co-authors include Lennart Ljung, Gianluigi Pillonetto, Henrik Ohlsson, Giuseppe De Nicolao, Francesco Dinuzzo, Biqiang Mu, Alessandro Chiuso, Martin S. Andersen, Xin Yao and Jie Huang. Their work appears in journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Signal Processing.

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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