Kai-Long Hsiao
- Biomedical Engineering top 1%
- Mechanical Engineering top 0.5%
- Computational Mechanics top 0.5%
- Fluid Flow and Transfer Processes top 5%
- Modeling and Simulation top 5%
- Topics
- Nanofluid Flow and Heat Transfer (30 papers)Heat Transfer Mechanisms (29 papers)Fluid Dynamics and Turbulent Flows (16 papers)
In The Last Decade
Kai-Long Hsiao
31 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 45
- Biomedical Engineering 2.4k
- Mechanical Engineering 2.0k
- Computational Mechanics 1.7k
- Fluid Flow and Transfer Processes 162
- Modeling and Simulation 78
Countries citing papers authored by Kai-Long Hsiao
This map shows the geographic impact of Kai-Long Hsiao'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 Kai-Long Hsiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai-Long Hsiao more than expected).
Fields of papers citing papers by Kai-Long Hsiao
This network shows the impact of papers produced by Kai-Long Hsiao. 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 Kai-Long Hsiao. The network helps show where Kai-Long Hsiao may publish in the future.
Co-authorship network of co-authors of Kai-Long Hsiao
This figure shows the co-authorship network connecting the top 25 collaborators of Kai-Long Hsiao. A scholar is included among the top collaborators of Kai-Long Hsiao 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 Kai-Long Hsiao. Kai-Long Hsiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Micropolar nanofluid flow with MHD and viscous dissipation effects towards a stretching sheet with multimedia featurebreakdown → | 509 |
| 2 | Combined electrical MHD heat transfer thermal extrusion system using Maxwell fluid with radiative and viscous dissipation effectsbreakdown → | 387 |
| 3 | 21 | |
| 4 | 23 | |
| 5 | Multimedia Feature for Unsteady Fluid Flow over a Non- Uniform Heat Source Stretching Sheet with Magnetic Radiation Physical Effects | 13 |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 26 | |
| 9 | 106 | |
| 10 | 14 | |
| 11 | 37 | |
| 12 | 1 | |
| 13 | 41 | |
| 14 | 1 | |
| 15 | 81 | |
| 16 | 7 | |
| 17 | 22 | |
| 18 | 39 | |
| 19 | 10 | |
| 20 | 6 |
About Kai-Long Hsiao
Kai-Long Hsiao is a scholar working on Computational Mechanics, Mechanical Engineering and Biomedical Engineering, having authored 32 papers that have together received 2.4k indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (30 papers), Heat Transfer Mechanisms (29 papers) and Fluid Dynamics and Turbulent Flows (16 papers). The work is most often cited by research in Computational Mechanics (1.7k citations), Biomedical Engineering (2.4k citations) and Mechanical Engineering (2.0k citations). Kai-Long Hsiao has collaborated with scholars based in Taiwan and Pakistan. Frequent co-authors include Cheng‐Hsing Hsu, Tariq Javed, Abuzar Ghaffari, Jyh‐Tong Teng and Tong‐Miin Liou. Their work appears in journals such as International Journal of Heat and Mass Transfer, Energy and Applied Thermal Engineering.
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.