Te‐Sheng Lin

38 papers receiving 1.1k citations

Peers

Te‐Sheng Lin
Comparison fields: 5 of 108
  • Toxicology 101
  • Computational Mechanics 212
  • Molecular Biology 534
  • Oncology 163
  • Organic Chemistry 187
Replace Siu‐Kai Kong with:
Siu‐Kai Kong Hong Kong
Gui Lu China
A. V. Lebedev Russia
Shuji Usui Japan
Alexander V. Lyubimov Russia
Vandana Srivastava India
Abdulnour Y. Toukmaji United States
Christopher W. Wharton United Kingdom
Mrityunjay Singh India
Robert N. Dreyer United States
Te‐Sheng Lin relative to Siu‐Kai Kong Hong Kong Siu‐Kai Kong's profile →
Citations per field
00.5×4.2×
Siu‐Kai Kong · 1×
Citations per year

Countries citing papers authored by Te‐Sheng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Te‐Sheng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Te‐Sheng Lin. 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 Te‐Sheng Lin. The network helps show where Te‐Sheng Lin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011437
2 202063
3 201561
4 200059
5 201054
6 201247
7 201844
8 202241
9 200933
10 202331
11 201027
12 198925
13 200422
14 201522
15 201317
16 202314
17 201113
18 197313
19 199413
20 199211

About Te‐Sheng Lin

Te‐Sheng Lin is a scholar working on Computational Mechanics, Molecular Biology, Statistical and Nonlinear Physics, Computer Networks and Communications and Electronic, Optical and Magnetic Materials, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fluid Dynamics and Thin Films (13 papers), Nonlinear Dynamics and Pattern Formation (8 papers), Liquid Crystal Research Advancements (5 papers), Model Reduction and Neural Networks (4 papers), Nonlinear Photonic Systems (3 papers), Micro and Nano Robotics (3 papers), Numerical methods in engineering (3 papers) and Metal-Catalyzed Oxygenation Mechanisms (3 papers). The work is most often cited by research in Toxicology (101 citations), Computational Mechanics (212 citations), Molecular Biology (534 citations), Oncology (163 citations) and Organic Chemistry (187 citations). Te‐Sheng Lin has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Nei‐Li Chan, Lou Kondic, Li‐Ying Lin, Yu‐Jen Yu, Lynn Farh, Tien-Jui Yen, Chyuan-Chuan Wu, Tsai‐Kun Li, Ming‐Chih Lai and Wei-Fan Hu. Their work appears in journals such as Physics of Fluids, Journal of Computational Physics, Journal of Fluid Mechanics, Scientific Reports and SIAM Journal on Applied Mathematics.

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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