Diep Vu

21 papers receiving 476 citations

Peers

Diep Vu
Comparison fields: 5 of 38
  • Fluid Flow and Transfer Processes 267
  • Automotive Engineering 324
  • Health, Toxicology and Mutagenesis 196
  • Atmospheric Science 140
  • Computational Mechanics 66
Replace Daniel Short with:
Daniel Short United States
Mark Villela United States
Soheil Zeraati-Rezaei United Kingdom
Zhongqing Zheng United States
Jean-Yves Favez Switzerland
Dardiotis Christos Austria
Jeff J. Jetter Japan
Richard Stradling Netherlands
Fabian P. Hagen Germany
Matti Happonen Finland
Diep Vu relative to Daniel Short United States Daniel Short's profile →
Citations per field
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Daniel Short · 1×
Citations per year

Countries citing papers authored by Diep Vu

Since Specialization
Citations

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

Fields of papers citing papers by Diep Vu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014120
2 2015106
3 201570
4 201424
5 201922
6 201319
7 201519
8 201518
9 201417
10 201917
11 201514
12 202013
13 20159
14 20168
15 20176
16 20252
17 20142
18 20191
19 20221
20 20241

About Diep Vu

Diep Vu is a scholar working on Automotive Engineering, Health, Toxicology and Mutagenesis, Atmospheric Science, Fluid Flow and Transfer Processes and Global and Planetary Change, having authored 21 papers that have together received 490 indexed citations. Recurring topics across this work include Vehicle emissions and performance (13 papers), Advanced Combustion Engine Technologies (9 papers), Atmospheric chemistry and aerosols (9 papers), Air Quality and Health Impacts (9 papers), Catalytic Processes in Materials Science (4 papers), Atmospheric aerosols and clouds (4 papers), Radiopharmaceutical Chemistry and Applications (2 papers) and Medical Imaging Techniques and Applications (1 paper). The work is most often cited by research in Fluid Flow and Transfer Processes (267 citations), Automotive Engineering (324 citations), Health, Toxicology and Mutagenesis (196 citations), Atmospheric Science (140 citations) and Computational Mechanics (66 citations). Diep Vu has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Akua Asa-Awuku, Thomas D. Durbin, Daniel Short, Georgios Karavalakis, Robert Russell, Mark Villela, Maryam Hajbabaei, Heejung Jung, Kent C. Johnson and George Karavalakis. Their work appears in journals such as Environmental Science & Technology, Aerosol Science and Technology, SAE international journal of fuels and lubricants, Journal of Aerosol Science and Cancer Research.

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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