Yang Na

2.8k citations
108 papers · 2.4k · h-index 24

Impact in

Papers in

Yang Na

97 papers receiving 2.3k citations

Peers

Yang Na
Comparison fields: 5 of 141
  • Computational Mechanics 1.2k
  • Otorhinolaryngology 147
  • Environmental Engineering 396
  • Fluid Flow and Transfer Processes 162
  • Aerospace Engineering 536
Replace Maurizio Quadrio with:
Maurizio Quadrio Italy
M. Rosenfeld Israel
Omid Abouali Iran
E. Sanmiguel‐Rojas Spain
Kiao Inthavong Australia
Mark Jermy New Zealand
Dominik Obrist Switzerland
Ch. Brücker Germany
Nicolas Buchmann Australia
Subhash C. Mishra India
Yang Na relative to Maurizio Quadrio Italy Maurizio Quadrio's profile →
Citations per field
00.5×4.5×
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 108 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998261
2 1998150
3 1998140
4 1998137
5 1998103
6 200095
7 198688
8 199188
9 199985
10 201084
11 201278
12 201863
13 201148
14 201345
15 200643
16 197439
17 201734
18 201332
19 201228
20 200328

About Yang Na

Yang Na is a scholar working on Computational Mechanics, Aerospace Engineering, Surgery, Mechanics of Materials and Physiology, having authored 108 papers that have together received 2.4k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (22 papers), Rocket and propulsion systems research (14 papers), Nasal Surgery and Airway Studies (14 papers), Heat transfer and supercritical fluids (12 papers), Sinusitis and nasal conditions (10 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 (147 citations), Environmental Engineering (396 citations), Fluid Flow and Transfer Processes (162 citations) and Aerospace Engineering (536 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, Julio Soria, A. E. Perry and Brian Cantwell. Their work appears in journals such as Respiratory Physiology & Neurobiology, Computers in Biology and Medicine, Journal of Fluid Mechanics, Journal of the Taiwan Institute of Chemical Engineers and Aerospace Science and Technology.

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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