T. Sun

662 citations
37 papers · 364 · h-index 11

Impact in

Papers in

T. Sun

31 papers receiving 349 citations

Peers

T. Sun
Comparison fields: 5 of 98
  • Media Technology 34
  • Radiology, Nuclear Medicine and Imaging 78
  • Statistical and Nonlinear Physics 45
  • Health Information Management 15
  • Computer Vision and Pattern Recognition 52
Replace Kim Gaik Tay with:
Kim Gaik Tay Malaysia
Jiansheng Yang China
Rafael Guzmán-Cabrera Mexico
Aminou Halidou Cameroon
Aniruddha Adiga United States
Lucas C. Ribas Brazil
Yves van Gennip United Kingdom
Muhammad Kashif Iqbal Pakistan
Shan Ai China
Daniel E. Worrall Netherlands
T. Sun relative to Kim Gaik Tay Malaysia Kim Gaik Tay's profile →
Citations per field
00.5×5.2×
Kim Gaik Tay · 1×
Citations per year

Countries citing papers authored by T. Sun

Since Specialization
Citations

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

Fields of papers citing papers by T. Sun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside T. Sun, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with T. Sun Line = papers co-authored together T. Sun links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201675
2 201460
3 201743
4 199823
5 201521
6 202418
7 202314
8 201413
9 199811
10 202111
11 200210
12 202010
13 20238
14 20055
15 20055
16 20145
17 20184
18 20253
19 20183
20
Weighted Median and Mean Hybrid Adaptive Filtering Based on Local Statistics
19922

About T. Sun

T. Sun is a scholar working on Electrical and Electronic Engineering, Computational Mechanics, Control and Systems Engineering, Mechanics of Materials and Artificial Intelligence, having authored 37 papers that have together received 364 indexed citations. Recurring topics across this work include Advanced Numerical Methods in Computational Mathematics (6 papers), Numerical methods in engineering (3 papers), Advanced Computational Techniques and Applications (3 papers), Power Transformer Diagnostics and Insulation (3 papers), Computational Fluid Dynamics and Aerodynamics (3 papers), Smart Agriculture and AI (2 papers), Digital Imaging for Blood Diseases (2 papers) and Machine Fault Diagnosis Techniques (2 papers). The work is most often cited by research in Media Technology (34 citations), Radiology, Nuclear Medicine and Imaging (78 citations), Statistical and Nonlinear Physics (45 citations), Health Information Management (15 citations) and Computer Vision and Pattern Recognition (52 citations). T. Sun has collaborated with scholars based in China, United States and Australia. Frequent co-authors include James H. Bramble, Benyuan Liu, Ning Zhang, Jesús Peinado, Epifanio Sánchez Garavito, Walter H. Curioso, Chang Liu, Peifeng Zhang, Leonid Lecca and Wei Peng. Their work appears in journals such as Journal of Computational and Applied Mathematics, Numerical Methods for Partial Differential Equations, IEEE Access, Frontiers in Plant Science and Applied Mathematics Letters.

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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