Yu Lv

1.2k citations
50 papers · 932 indexed · h-index 17

Impact in

Papers in

Yu Lv

48 papers receiving 910 citations

Peers

Yu Lv
Comparison fields: 5 of 87
  • Computational Mechanics 724
  • Fluid Flow and Transfer Processes 163
  • Applied Mathematics 160
  • Fuel Technology 8
  • Aerospace Engineering 225
Replace J.S. Truelove with:
J.S. Truelove Australia
M. Napolitano Italy
Guido Lodato France
Foluso Ladeinde United States
Tomasz G. Drozda United States
Frédérique Laurent France
Jonathan D. Regele United States
San‐Mou Jeng United States
Christopher J. Steffen United States
К. Н. Волков Russia
Yu Lv relative to J.S. Truelove Australia J.S. Truelove's profile →
Citations per field
00.5×7.2×
J.S. Truelove · 1×
Citations per year

Countries citing papers authored by Yu Lv

Since Specialization
Citations

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

Fields of papers citing papers by Yu Lv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017130
2 201876
3 201474
4 201862
5 201838
6 201638
7 201037
8 201836
9 201536
10 201733
11 200929
12 201427
13 201425
14 201825
15 201922
16 201717
17 201717
18 201815
19 201014
20 201014

About Yu Lv

Yu Lv is a scholar working on Computational Mechanics, Fluid Flow and Transfer Processes, Applied Mathematics, Aerospace Engineering and Environmental Engineering, having authored 50 papers that have together received 932 indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (25 papers), Computational Fluid Dynamics and Aerodynamics (22 papers), Combustion and flame dynamics (16 papers), Gas Dynamics and Kinetic Theory (12 papers), Advanced Combustion Engine Technologies (8 papers), Wind and Air Flow Studies (7 papers), Combustion and Detonation Processes (7 papers) and Thermochemical Biomass Conversion Processes (6 papers). The work is most often cited by research in Computational Mechanics (724 citations), Fluid Flow and Transfer Processes (163 citations), Applied Mathematics (160 citations), Fuel Technology (8 citations) and Aerospace Engineering (225 citations). Yu Lv has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Matthias Ihme, Peter Ma, Zhihua Wang, Kefa Cen, Xiang I. A. Yang, Junhu Zhou, Eric J. Ching, Yong He, Yee Chee See and Michael Barnhardt. Their work appears in journals such as Physics of Fluids, Journal of Computational Physics, Aerospace Science and Technology, Fuel and Energy & Fuels.

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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