Chang‐Hsien Tai
- Computational Mechanics top 5%
- Computational Fluid Dynamics and Aerodynamics 10
- Fluid Dynamics and Turbulent Flows 7
- Advanced Numerical Methods in Computational Mathematics 4
- Biomedical Engineering top 10%
- Microfluidic and Capillary Electrophoresis Applications 8
- Microfluidic and Bio-sensing Technologies 7
- Numerical Analysis top 10%
- Applied Mathematics top 10%
- Gas Dynamics and Kinetic Theory 3
-
- Electrowetting and Microfluidic Technologies 6
- Electrohydrodynamics and Fluid Dynamics 2
- Co-authors
- Lung‐Ming FuKenneth G. PowellBRAM VAChien-Hsiung TsaiRuey‐Jen YangChien‐Hsiung TsaiMing-Chang WuWei-Jhong Ju
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Chang‐Hsien Tai
30 papers receiving 664 citations
Peers
Comparison fields: 5 of 71
- Computational Mechanics 295
- Biomedical Engineering 396
- Numerical Analysis 40
- Applied Mathematics 47
- Bioengineering 19
Countries citing papers authored by Chang‐Hsien Tai
This map shows the geographic impact of Chang‐Hsien Tai'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 Chang‐Hsien Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chang‐Hsien Tai more than expected).
Fields of papers citing papers by Chang‐Hsien Tai
This network shows the impact of papers produced by Chang‐Hsien Tai. 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 Chang‐Hsien Tai. The network helps show where Chang‐Hsien Tai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chang‐Hsien Tai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2022 | 1 | |
| 3 | 2011 | 6 | |
| 4 | Numerical Prediction of the Vertical-Axis Straight-Bladed Water Turbine's Hydrodynamic Characteristics | 2011 | 1 |
| 5 | 2011 | 2 | |
| 6 | 2011 | 1 | |
| 7 | 2011 | 4 | |
| 8 | 2007 | 14 | |
| 9 | 2006 | 59 | |
| 10 | 2006 | 33 | |
| 11 | 2006 | 1 | |
| 12 | 2005 | 57 | |
| 13 | 2005 | 7 | |
| 14 | 2004 | 27 | |
| 15 | 2001 | 2 | |
| 16 | 1996 | 3 | |
| 17 | 1995 | 20 | |
| 18 | 1995 | 21 | |
| 19 | 1995 | 1 | |
| 20 | 1994 | 2 |
About Chang‐Hsien Tai
Chang‐Hsien Tai is a scholar working on Computational Mechanics, Aerospace Engineering and Applied Mathematics, having authored 31 papers that have together received 700 indexed citations. Recurring topics across this work include Computational Fluid Dynamics and Aerodynamics (10 papers), Microfluidic and Capillary Electrophoresis Applications (8 papers), Fluid Dynamics and Turbulent Flows (7 papers), Microfluidic and Bio-sensing Technologies (7 papers), Electrowetting and Microfluidic Technologies (6 papers), Advanced Numerical Methods in Computational Mathematics (4 papers), Gas Dynamics and Kinetic Theory (3 papers) and Electrohydrodynamics and Fluid Dynamics (2 papers). The work is most often cited by research in Computational Mechanics (295 citations), Biomedical Engineering (396 citations) and Numerical Analysis (40 citations). Chang‐Hsien Tai has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Lung‐Ming Fu, Kenneth G. Powell, BRAM VA, Chien-Hsiung Tsai, Ruey‐Jen Yang, Chien‐Hsiung Tsai, Ming-Chang Wu, Wei-Jhong Ju, Bram van Leer and Jr‐Ming Miao.
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.