Can Kang
Impact in
- Ecological Modeling top 5%
- Erosion and Abrasive Machining
- Computational Mechanics top 5%
- Fluid Dynamics and Heat Transfer
- Fluid Dynamics Simulations and Interactions
Papers in
-
- Fluid Dynamics and Heat Transfer 27
- Fluid Dynamics and Turbulent Flows 8
-
- Hydraulic and Pneumatic Systems 11
- Co-authors
- Haixia Liu (20 shared papers)Chen Gong (14 shared papers)Yongchao Zhang (10 shared papers)Hyoung-Bum Kim (9 shared papers)Wei Zhang (3 shared papers)Yuli Wang (5 shared papers)Kewei Xu (1 shared paper)Hitoshi SOYAMA (3 shared papers)
- Journals
- Physics of Fluids (5 papers)Ocean Engineering (4 papers)Wear (3 papers)Materials and Corrosion (2 papers)Renewable Energy (2 papers)
- Partner nations
- ChinaSouth KoreaSaudi Arabia
In The Last Decade
Can Kang
90 papers receiving 861 citations
Peers
Comparison fields: 5 of 68
- Ecological Modeling 103
- Computational Mechanics 357
- Mechanics of Materials 239
- Mechanical Engineering 333
- Ocean Engineering 134
Countries citing papers authored by Can Kang
This map shows the geographic impact of Can Kang'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 Can Kang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Can Kang more than expected).
Fields of papers citing papers by Can Kang
This network shows the impact of papers produced by Can Kang. 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 Can Kang. The network helps show where Can Kang may publish in the future.
Co-authors
The 25 scholars most cited alongside Can Kang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 96 | |
| 2 | 2020 | 85 | |
| 3 | 2024 | 27 | |
| 4 | 2020 | 27 | |
| 5 | 2019 | 27 | |
| 6 | 2017 | 23 | |
| 7 | 2021 | 22 | |
| 8 | 2024 | 22 | |
| 9 | 2020 | 21 | |
| 10 | 2024 | 20 | |
| 11 | 2024 | 20 | |
| 12 | 2017 | 20 | |
| 13 | 2021 | 19 | |
| 14 | 2018 | 19 | |
| 15 | 2013 | 17 | |
| 16 | 2023 | 16 | |
| 17 | 2022 | 16 | |
| 18 | 2015 | 15 | |
| 19 | 2022 | 15 | |
| 20 | 2015 | 15 |
About Can Kang
Can Kang is a scholar working on Computational Mechanics, Mechanical Engineering, Mechanics of Materials, Aerospace Engineering and Ocean Engineering, having authored 98 papers that have together received 899 indexed citations. Recurring topics across this work include Fluid Dynamics and Heat Transfer (27 papers), Cavitation Phenomena in Pumps (25 papers), Particle Dynamics in Fluid Flows (12 papers), Erosion and Abrasive Machining (12 papers), Hydraulic and Pneumatic Systems (11 papers), Electrohydrodynamics and Fluid Dynamics (10 papers), Vibration and Dynamic Analysis (9 papers) and Fluid Dynamics and Turbulent Flows (8 papers). The work is most often cited by research in Ecological Modeling (103 citations), Computational Mechanics (357 citations), Mechanics of Materials (239 citations), Mechanical Engineering (333 citations) and Ocean Engineering (134 citations). Can Kang has collaborated with scholars based in China, South Korea and Saudi Arabia. Frequent co-authors include Haixia Liu, Chen Gong, Yongchao Zhang, Hyoung-Bum Kim, Wei Zhang, Yuli Wang, Kewei Xu, Hitoshi SOYAMA, Taseer Muhammad and Dong Liu. Their work appears in journals such as Physics of Fluids, Ocean Engineering, Wear, Materials and Corrosion and Renewable Energy.
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.