Ning Wu

30 papers receiving 463 citations

Peers

Ning Wu
Comparison fields: 5 of 76
  • Fluid Flow and Transfer Processes 173
  • Computational Mechanics 186
  • Automotive Engineering 83
  • Safety, Risk, Reliability and Quality 46
  • Biomedical Engineering 198
Replace W.J. McLean with:
W.J. McLean United States
Mourad Younes Saudi Arabia
Anatoly Maznoy Russia
Jon Runyon United Kingdom
Sayak Banerjee India
Sixu Wang China
С. А. Жданок Belarus
Ning Wu relative to W.J. McLean United States W.J. McLean's profile →
Citations per field
00.5×3.8×
W.J. McLean · 1×
Citations per year

Countries citing papers authored by Ning Wu

Since Specialization
Citations

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

Fields of papers citing papers by Ning Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014137
2 201438
3 201429
4 201224
5 202520
6 200120
7 202320
8 202120
9 201618
10 201517
11
Anomalous intracranial venous drainage associated with basal ganglia calcification.
200714
12 201414
13 200712
14 200912
15 201011
16 200510
17 200310
18 20109
19 20098
20 20217

About Ning Wu

Ning Wu is a scholar working on Fluid Flow and Transfer Processes, Biomedical Engineering, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Computational Mechanics, having authored 32 papers that have together received 486 indexed citations. Recurring topics across this work include Advanced Combustion Engine Technologies (9 papers), Mechanical and Optical Resonators (6 papers), Combustion and flame dynamics (6 papers), Photonic and Optical Devices (5 papers), Vehicle emissions and performance (4 papers), Advanced MEMS and NEMS Technologies (4 papers), Biodiesel Production and Applications (3 papers) and Combustion and Detonation Processes (3 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (173 citations), Computational Mechanics (186 citations), Automotive Engineering (83 citations), Safety, Risk, Reliability and Quality (46 citations) and Biomedical Engineering (198 citations). Ning Wu has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Shuiqing Li, Qiang Yao, Ye Yuan, Gengda Li, Gordon McTaggart-Cowan, Sandeep Munshi, W. Kendal Bushe, Martin Davy, Changhui Li and Qiushi Ren. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Photonics Research, Combustion Science and Technology, Journal of Optics and Photonics.

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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