Yan Jun Yang

6.4k citations
192 papers · 5.3k · h-index 44

Impact in

Papers in

Yan Jun Yang

186 papers receiving 5.1k citations

Peers

Yan Jun Yang
Comparison fields: 5 of 170
  • Applied Mathematics 718
  • Atmospheric Science 961
  • Mechanical Engineering 1.7k
  • Computational Mechanics 806
  • Aerospace Engineering 906
Replace Mohamed M. Pourkashanian with:
Mohamed M. Pourkashanian United Kingdom
Bo G Leckner Sweden
Zhien Zhang China
Greg Naterer Canada
Terry F. Wall Australia
Alan Williams United Kingdom
Peter Glarborg Denmark
Zhaohui Liu China
Mohamed A. Habib Saudi Arabia
Klas Andersson Sweden
Yan Jun Yang relative to Mohamed M. Pourkashanian United Kingdom Mohamed M. Pourkashanian's profile →
Citations per field
00.5×1.5×2×2.4×
Mohamed M. Pourkashanian · 1×
Citations per year

Countries citing papers authored by Yan Jun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Yan Jun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yan Jun Yang. 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 Yan Jun Yang. The network helps show where Yan Jun Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 192 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018233
2 2019130
3 2023130
4 2019122
5 2016121
6 2018120
7 2014119
8 2017117
9 2023116
10 2023103
11 2023102
12 201897
13 201995
14 202293
15 201687
16 201182
17 202279
18 201176
19 201575
20 202075

About Yan Jun Yang

Yan Jun Yang is a scholar working on Mechanical Engineering, Applied Mathematics, Computational Mechanics, Aerospace Engineering and Atmospheric Science, having authored 192 papers that have together received 5.3k indexed citations. Recurring topics across this work include nanoparticles nucleation surface interactions (19 papers), Gas Dynamics and Kinetic Theory (19 papers), Cyclone Separators and Fluid Dynamics (17 papers), Refrigeration and Air Conditioning Technologies (16 papers), Spacecraft and Cryogenic Technologies (14 papers), Combustion and Detonation Processes (10 papers), Particle Dynamics in Fluid Flows (10 papers) and Corrosion Behavior and Inhibition (9 papers). The work is most often cited by research in Applied Mathematics (718 citations), Atmospheric Science (961 citations), Mechanical Engineering (1.7k citations), Computational Mechanics (806 citations) and Aerospace Engineering (906 citations). Yan Jun Yang has collaborated with scholars based in China, United Kingdom and Denmark. Frequent co-authors include Chuang Wen, Hongbing Ding, Jens Honoré Walther, Xuewen Cao, Dongqing Wang, Yan Yuying, Ke Sun, Lanfang Han, Yuqing Feng and Shuli Wang. Their work appears in journals such as Applied Energy, Separation and Purification Technology, Energy, Chemical Geology and Journal of Hazardous Materials.

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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