C. Gau

2.1k citations
93 papers · 1.8k · h-index 24

Impact in

Papers in

    • Heat Transfer Mechanisms 37
    • Heat Transfer and Optimization 18
    • Heat Transfer and Boiling Studies 16
    • Fluid Dynamics and Turbulent Flows 29
    • Heat transfer and supercritical fluids 9

C. Gau

91 papers receiving 1.7k citations

Peers

C. Gau
Comparison fields: 5 of 73
  • Computational Mechanics 845
  • Mechanical Engineering 990
  • Biomedical Engineering 587
  • Aerospace Engineering 295
  • Polymers and Plastics 121
Replace Shou‐Shing Hsieh with:
Shou‐Shing Hsieh Taiwan
Erwin R. Meinders Netherlands
Yoshio Utaka Japan
Daniel Orejón United Kingdom
Hitoshi Fujimoto Japan
Anandaroop Bhattacharya India
Todd Salamon United States
Xiaozhu Xie China
Dongqing Li China
Takashi Takeuchi Japan
C. Gau relative to Shou‐Shing Hsieh Taiwan Shou‐Shing Hsieh's profile →
Citations per field
00.5×5.8×
Shou‐Shing Hsieh · 1×
Citations per year

Countries citing papers authored by C. Gau

Since Specialization
Citations

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

Fields of papers citing papers by C. Gau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 93 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991194
2 2008112
3 199278
4 201073
5 200967
6 200064
7 200758
8 200957
9 198554
10 198651
11 199243
12 200938
13 199937
14 199735
15 200933
16 201131
17 200929
18 199929
19 199529
20 200727

About C. Gau

C. Gau is a scholar working on Mechanical Engineering, Computational Mechanics, Biomedical Engineering, Materials Chemistry and Electrical and Electronic Engineering, having authored 93 papers that have together received 1.8k indexed citations. Recurring topics across this work include Heat Transfer Mechanisms (37 papers), Fluid Dynamics and Turbulent Flows (29 papers), Heat Transfer and Optimization (18 papers), Heat Transfer and Boiling Studies (16 papers), Nanofluid Flow and Heat Transfer (11 papers), Mechanical and Optical Resonators (11 papers), Carbon Nanotubes in Composites (11 papers) and Heat transfer and supercritical fluids (9 papers). The work is most often cited by research in Computational Mechanics (845 citations), Mechanical Engineering (990 citations), Biomedical Engineering (587 citations), Aerospace Engineering (295 citations) and Polymers and Plastics (121 citations). C. Gau has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Chuan‐Hsiung Chung, R. Viskanta, Win Aung, D. Z. Jeng, Chen‐Wuing Liu, K. A. Yih, Chih‐Wei Kuo, Cheng‐Hui Shen, Tien-Chi Huang and Wenxiang Tang. Their work appears in journals such as International Journal of Heat and Mass Transfer, Journal of Heat Transfer, Journal of Thermophysics and Heat Transfer, Sensors and Actuators A Physical and Journal of Micromechanics and Microengineering.

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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