Tie Wei

1.8k citations
77 papers · 1.4k · h-index 19

Impact in

Papers in

Tie Wei

69 papers receiving 1.4k citations

Peers

Tie Wei
Comparison fields: 5 of 65
  • Computational Mechanics 1.3k
  • Environmental Engineering 602
  • Global and Planetary Change 323
  • Ocean Engineering 197
  • Mechanical Engineering 412
Replace Jimmy Philip with:
Jimmy Philip Australia
Luminita Danaila France
Gary N. Coleman United States
Seyed Saddoughi United States
Tomoaki Watanabe Japan
Wade Schoppa United States
Roland Schiestel France
Jie Yao United States
Srinivas V. Veeravalli India
Carlo Cossu France
Tie Wei relative to Jimmy Philip Australia Jimmy Philip's profile →
Citations per field
00.5×1.5×2.1×
Jimmy Philip · 1×
Citations per year

Countries citing papers authored by Tie Wei

Since Specialization
Citations

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

Fields of papers citing papers by Tie Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005200
2 2010138
3 2012101
4 200993
5 200586
6 200763
7 200555
8 201155
9 200550
10 201844
11 200535
12 200935
13 201833
14 201428
15 201626
16 202026
17 200523
18 200721
19 202320
20 202514

About Tie Wei

Tie Wei is a scholar working on Computational Mechanics, Mechanical Engineering, Environmental Engineering, Global and Planetary Change and Aerospace Engineering, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (58 papers), Heat Transfer Mechanisms (26 papers), Wind and Air Flow Studies (22 papers), Plant Water Relations and Carbon Dynamics (15 papers), Combustion and flame dynamics (12 papers), Aerodynamics and Acoustics in Jet Flows (7 papers), Computational Fluid Dynamics and Aerodynamics (7 papers) and Particle Dynamics in Fluid Flows (6 papers). The work is most often cited by research in Computational Mechanics (1.3k citations), Environmental Engineering (602 citations), Global and Planetary Change (323 citations), Ocean Engineering (197 citations) and Mechanical Engineering (412 citations). Tie Wei has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Joseph Klewicki, Paul C. Fife, Patrick McMurtry, Daniel Livescu, James G. Brasseur, Rodney C. Schmidt, Yvan Maciel, Mark Petersen, Yanxing Wang and Tobias Knopp. Their work appears in journals such as Journal of Fluid Mechanics, Physics of Fluids, Physical Review Fluids, International Journal of Heat and Mass Transfer and Journal of Forensic Sciences.

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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