Yang Na

2.8k citations
103 papers · 2.2k indexed · h-index 23

Impact in

    • Fluid Dynamics and Turbulent Flows
    • Computational Fluid Dynamics and Aerodynamics
    • Fluid Dynamics and Vibration Analysis
    • Sinusitis and nasal conditions

Papers in

Yang Na

92 papers receiving 2.1k citations

Peers

Yang Na
Comparison fields: 5 of 139
  • Computational Mechanics 1.2k
  • Otorhinolaryngology 180
  • Environmental Engineering 382
  • Fluid Flow and Transfer Processes 156
  • Aerospace Engineering 500
Replace Maurizio Quadrio with:
Maurizio Quadrio Italy
M. Rosenfeld Israel
E. Sanmiguel‐Rojas Spain
Denis Doorly United Kingdom
Omid Abouali Iran
Subhash C. Mishra India
Mark Jermy New Zealand
Ch. Brücker Germany
S. Einav Israel
Sang Joon Lee South Korea
Yang Na relative to Maurizio Quadrio Italy Maurizio Quadrio's profile →
Citations per field
00.5×4.3×
Maurizio Quadrio · 1×
Citations per year

Countries citing papers authored by Yang Na

Since Specialization
Citations

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

Fields of papers citing papers by Yang Na

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998236
2 1998143
3 1998135
4 1998127
5 199892
6 200091
7 199185
8 201083
9 199983
10 198682
11 201275
12 201858
13 201146
14 201343
15 200643
16 201733
17 197433
18 201330
19 200328
20 198827

About Yang Na

Yang Na is a scholar working on Computational Mechanics, Aerospace Engineering, Surgery, Physiology and Mechanics of Materials, having authored 103 papers that have together received 2.2k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (22 papers), Nasal Surgery and Airway Studies (14 papers), Rocket and propulsion systems research (13 papers), Heat transfer and supercritical fluids (12 papers), Sinusitis and nasal conditions (9 papers), Wind and Air Flow Studies (9 papers), Obstructive Sleep Apnea Research (8 papers) and Fluid Dynamics and Vibration Analysis (8 papers). The work is most often cited by research in Computational Mechanics (1.2k citations), Otorhinolaryngology (180 citations), Environmental Engineering (382 citations), Fluid Flow and Transfer Processes (156 citations) and Aerospace Engineering (500 citations). Yang Na has collaborated with scholars based in South Korea, China and United States. Frequent co-authors include Parviz Moin, Thomas J. Hanratty, Seung‐Kyu Chung, Jung Yul Yoo, John B. McLaughlin, Changjin Lee, Dimitrios V. Papavassiliou, A. E. Perry, M. S. Chong and Brian Cantwell. Their work appears in journals such as Respiratory Physiology & Neurobiology, Journal of Fluid Mechanics, Computers in Biology and Medicine, Aerospace Science and Technology and International Journal of Precision Engineering and Manufacturing.

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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