C. K. Chan

3.4k citations
156 papers · 2.7k · h-index 31

Impact in

Papers in

C. K. Chan

149 papers receiving 2.6k citations

Peers

C. K. Chan
Comparison fields: 5 of 144
  • Fluid Flow and Transfer Processes 346
  • Computational Mechanics 1.0k
  • Safety, Risk, Reliability and Quality 310
  • Statistics, Probability and Uncertainty 143
  • Ocean Engineering 289
Replace D.L. Ermak with:
D.L. Ermak United States
M. Pınar Mengüç United States
Carol S. Woodward United States
David R. Emerson United Kingdom
Thomas Wriedt Germany
D. A. Frank-Kamenet︠s︡kiĭ Russia
Brice Carnahan United States
A. V. Kuznetsov United States
Keith Eric Grant United States
Shankar Subramaniam United States
C. K. Chan relative to D.L. Ermak United States D.L. Ermak's profile →
Citations per field
00.5×3.4×
D.L. Ermak · 1×
Citations per year

Countries citing papers authored by C. K. Chan

Since Specialization
Citations

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

Fields of papers citing papers by C. K. Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. K. Chan. 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 C. K. Chan. The network helps show where C. K. Chan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1985126
2 1998124
3 1983115
4 200394
5 200281
6 198379
7 199273
8 199158
9 200550
10 198849
11 200348
12 198846
13 200545
14 198445
15 201044
16 198443
17 198542
18 200341
19 200741
20 200336

About C. K. Chan

C. K. Chan is a scholar working on Computational Mechanics, Ocean Engineering, Cognitive Neuroscience, Statistical and Nonlinear Physics and Materials Chemistry, having authored 156 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neural dynamics and brain function (20 papers), Fluid Dynamics and Turbulent Flows (20 papers), Particle Dynamics in Fluid Flows (20 papers), Combustion and flame dynamics (20 papers), Granular flow and fluidized beds (18 papers), Nonlinear Dynamics and Pattern Formation (17 papers), stochastic dynamics and bifurcation (16 papers) and Fire dynamics and safety research (14 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (346 citations), Computational Mechanics (1.0k citations), Safety, Risk, Reliability and Quality (310 citations), Statistics, Probability and Uncertainty (143 citations) and Ocean Engineering (289 citations). C. K. Chan has collaborated with scholars based in Taiwan, Hong Kong and China. Frequent co-authors include J. B. Page, Pik-Yin Lai, R. Knystautas, J.H. Lee, D. Beysens, F. Perrot, Sung Taek Lim, K. Lu, Pik‐Yin Lai and Hyeok Choi. Their work appears in journals such as Physical Review Letters, Europhysics Letters (EPL), The Journal of Chemical Physics, Physica A Statistical Mechanics and its Applications and Computational Mechanics.

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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