Chang‐Hsien Tai

931 citations
31 papers · 700 indexed · h-index 12
Topics
Computational Fluid Dynamics and Aerodynamics (10 papers)Microfluidic and Capillary Electrophoresis Applications (8 papers)Fluid Dynamics and Turbulent Flows (7 papers)
Partner nations
TaiwanUnited StatesChina

In The Last Decade

Chang‐Hsien Tai

30 papers receiving 664 citations

Peers

Chang‐Hsien Tai
Comparison fields: 5 of 71
  • Biomedical Engineering 396
  • Computational Mechanics 295
  • Electrical and Electronic Engineering 188
  • Aerospace Engineering 75
  • Mechanical Engineering 69
Replace Radhey S. Gupta with:
Radhey S. Gupta India
R. C. Ackerberg United States
Vittorio Badalassi United States
Alex Povitsky United States
Albert Romkes United States
Lijuan Qian China
Olga N. Goncharova Russia
Slim Kaddeche Tunisia
Sébastian Minjeaud France
Seungho Paik United States
Chang‐Hsien Tai relative to Radhey S. Gupta India Radhey S. Gupta's profile →
Citations per field
00.5×6.6×
Radhey S. Gupta · 1×
Citations per year

Countries citing papers authored by Chang‐Hsien Tai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Chang‐Hsien Tai

This figure shows the co-authorship network connecting the top 25 collaborators of Chang‐Hsien Tai. A scholar is included among the top collaborators of Chang‐Hsien Tai based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Chang‐Hsien Tai. Chang‐Hsien Tai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 6
4
Numerical Prediction of the Vertical-Axis Straight-Bladed Water Turbine's Hydrodynamic Characteristics
1
5 2
6 1
7 4
8 14
9 59
10 33
11 1
12 57
13 7
14 27
15 2
16 3
17 20
18 21
19 1
20 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) and Fluid Dynamics and Turbulent Flows (7 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. Their work appears in journals such as AIAA Journal, Electrophoresis 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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