Jong‐Shinn Wu

3.3k citations
166 papers · 2.4k indexed · h-index 29

Impact in

Papers in

Jong‐Shinn Wu

149 papers receiving 2.3k citations

Peers

Jong‐Shinn Wu
Comparison fields: 5 of 125
  • Computational Mechanics 756
  • Applied Mathematics 354
  • Radiology, Nuclear Medicine and Imaging 554
  • Surfaces, Coatings and Films 168
  • Aerospace Engineering 429
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Subrata Roy United States
Bakhtier Farouk United States
Bok Jik Lee South Korea
W.J. Minkowycz United States
John C. Chai Singapore
A. Haji‐Sheikh United States
Alina Alexeenko United States
F. A. Kulacki United States
Helcio R. B. Orlande Brazil
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Citations per field
00.5×3.7×
Subrata Roy · 1×
Citations per year

Countries citing papers authored by Jong‐Shinn Wu

Since Specialization
Citations

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

Fields of papers citing papers by Jong‐Shinn Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20240
4 20247
5 20239
6 20231
7 20231
8 20213
9 202124
10 202049
11 202046
12
Electric field filamentation and higher harmonic \ngeneration in a very high frequency capacitive \ndischarges
201934
13 201973
14 2018131
15 20160
16
Evidence and Modelling of Dust Transport on the Nucleus of Comet 67P/Churyumov-Gerasimenko
20150
17 20146
18 20110
19 20100
20
The structure of sphere wakes at intermediate Reynolds numbers in still and turbulent environments.
19941

About Jong‐Shinn Wu

Jong‐Shinn Wu is a scholar working on Applied Mathematics, Computational Mechanics, Aerospace Engineering, Radiology, Nuclear Medicine and Imaging and Surfaces, Coatings and Films, having authored 166 papers that have together received 2.4k indexed citations. Recurring topics across this work include Gas Dynamics and Kinetic Theory (43 papers), Plasma Applications and Diagnostics (40 papers), Computational Fluid Dynamics and Aerodynamics (33 papers), Plasma Diagnostics and Applications (26 papers), Electrohydrodynamics and Fluid Dynamics (22 papers), Rocket and propulsion systems research (20 papers), Fluid Dynamics and Turbulent Flows (17 papers) and Energetic Materials and Combustion (16 papers). The work is most often cited by research in Computational Mechanics (756 citations), Applied Mathematics (354 citations), Radiology, Nuclear Medicine and Imaging (554 citations), Surfaces, Coatings and Films (168 citations) and Aerospace Engineering (429 citations). Jong‐Shinn Wu has collaborated with scholars based in Taiwan, United States and New Zealand. Frequent co-authors include G. M. Faeth, Kai‐Chih Tseng, Chih‐Yao Hou, Chia‐Min Lin, Yingjuan Shao, Horn‐Jiunn Sheen, S. Krishnan, Chang‐Wei Hsieh, Yu‐Pin Cheng and Hsien‐Yi Chiu. Their work appears in journals such as IEEE Transactions on Plasma Science, Computer Physics Communications, Computers & Fluids, Plasma Processes and Polymers and Journal of Computational Physics.

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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