Daniel Chung

6.1k citations
97 papers · 3.3k indexed · 2 hit papers · h-index 30

Impact in

Papers in

Daniel Chung

90 papers receiving 3.2k citations

Hit Papers

Predicting the Drag of Rough Surfaces 2021 · 216 citations
2162014202620182022100200300400

Peers

Daniel Chung
Comparison fields: 5 of 72
  • Computational Mechanics 2.0k
  • Environmental Engineering 1.4k
  • Atmospheric Science 1.0k
  • Global and Planetary Change 1.1k
  • Ocean Engineering 459
Replace Michele Guala with:
Michele Guala United States
Joseph Klewicki United States
Sutanu Sarkar United States
S. Rajagopalan Australia
L. Djenidi Australia
Hassan Nagib United States
Hiroshi Sato Japan
Vincenzo Armenio Italy
Olivier Métais France
Karen A. Flack United States
Daniel Chung relative to Michele Guala United States Michele Guala's profile →
Citations per field
00.5×1.5×2.5×
Michele Guala · 1×
Citations per year

Countries citing papers authored by Daniel Chung

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Chung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20246
5 202414
6 20243
7 202316
8 202215
9 202224
10 202222
11 20219
12 202129
13 202011
14
Only certain riblets experience the Kelvin-Helmholtz instability
20201
15 201912
16 201928
17 201856
18 201760
19 201628
20 2015157

About Daniel Chung

Daniel Chung is a scholar working on Computational Mechanics, Environmental Engineering, Global and Planetary Change, Atmospheric Science and Ocean Engineering, having authored 97 papers that have together received 3.3k indexed citations. Recurring topics across this work include Fluid Dynamics and Turbulent Flows (75 papers), Wind and Air Flow Studies (33 papers), Heat Transfer Mechanisms (22 papers), Plant Water Relations and Carbon Dynamics (21 papers), Particle Dynamics in Fluid Flows (18 papers), Meteorological Phenomena and Simulations (15 papers), Fluid Dynamics and Vibration Analysis (14 papers) and Aerodynamics and Acoustics in Jet Flows (8 papers). The work is most often cited by research in Computational Mechanics (2.0k citations), Environmental Engineering (1.4k citations), Atmospheric Science (1.0k citations), Global and Planetary Change (1.1k citations) and Ocean Engineering (459 citations). Daniel Chung has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Nicholas Hutchins, Georgios Matheou, Andrew Ooi, D. I. Pullin, Jason Monty, Wolfgang Wagner, Ivan Marušič, Richard de Jeu, Wouter Dorigo and Robert Parinussa. Their work appears in journals such as Journal of Fluid Mechanics, Journal of the Atmospheric Sciences, Physical Review Fluids, Journal of Turbulence and International Journal of Heat and Mass Transfer.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026