Ting Si

4.5k citations
174 papers · 3.5k · h-index 35

Impact in

Papers in

    • Fluid Dynamics and Heat Transfer 41
    • Computational Fluid Dynamics and Aerodynamics 35
    • Fluid Dynamics and Turbulent Flows 23
    • Innovative Microfluidic and Catalytic Techniques Innovation 32

Ting Si

162 papers receiving 3.4k citations

Peers

Ting Si
Comparison fields: 5 of 120
  • Nuclear and High Energy Physics 1.2k
  • Computational Mechanics 1.6k
  • Biomedical Engineering 1.1k
  • Geophysics 316
  • Biomaterials 285
Replace Ali Beşkök with:
Ali Beşkök United States
Weihua Jiang Japan
Pengtao Yue United States
S. I. Kudryashov Russia
Hua Tan United States
Rui Ding China
Hidenori Akiyama Japan
Zhen Sun China
M. Hirata Japan
L. Léger France
Ting Si relative to Ali Beşkök United States Ali Beşkök's profile →
Citations per field
00.5×5×10×15×20×22.6×
Ali Beşkök · 1×
Citations per year

Countries citing papers authored by Ting Si

Since Specialization
Citations

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

Fields of papers citing papers by Ting Si

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ting Si, 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 Ting Si Line = papers co-authored together Ting Si links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012180
2 200998
3 201190
4 202088
5 201486
6 202185
7 201577
8 201775
9 201773
10 201571
11 202265
12 201755
13 201252
14 201350
15 201248
16 202445
17 201444
18 201843
19 201542
20 201942

About Ting Si

Ting Si is a scholar working on Computational Mechanics, Biomedical Engineering, Nuclear and High Energy Physics, Electrical and Electronic Engineering and Geophysics, having authored 174 papers that have together received 3.5k indexed citations. Recurring topics across this work include Laser-Plasma Interactions and Diagnostics (54 papers), Fluid Dynamics and Heat Transfer (41 papers), Electrohydrodynamics and Fluid Dynamics (37 papers), Computational Fluid Dynamics and Aerodynamics (35 papers), Innovative Microfluidic and Catalytic Techniques Innovation (32 papers), Fluid Dynamics and Turbulent Flows (23 papers), High-pressure geophysics and materials (19 papers) and Laser-Matter Interactions and Applications (12 papers). The work is most often cited by research in Nuclear and High Energy Physics (1.2k citations), Computational Mechanics (1.6k citations), Biomedical Engineering (1.1k citations), Geophysics (316 citations) and Biomaterials (285 citations). Ting Si has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xisheng Luo, Zhigang Zhai, Ronald X. Xu, Zhiqiang Zhu, Juchun Ding, Kai Mu, Minghu Wang, Jiming Yang, Leilei Zhang and Jiwei Huang. Their work appears in journals such as Physics of Fluids, Journal of Fluid Mechanics, Lab on a Chip, Physical Review Fluids and ACS Applied Materials & Interfaces.

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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