Xiaoye Dai
Impact in
- Mechanical Engineering top 5%
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- Refrigeration and Air Conditioning Technologies
- Advanced Thermodynamic Systems and Engines
Papers in
-
- Heat transfer and supercritical fluids 14
- Combustion and flame dynamics 8
-
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems 24
- Advanced Thermodynamic Systems and Engines 7
- Refrigeration and Air Conditioning Technologies 7
- Phase Change Materials Research 6
Xiaoye Dai
47 papers receiving 944 citations
Peers
Comparison fields: 5 of 51
- Energy Engineering and Power Technology 55
- Mechanical Engineering 607
- Fluid Flow and Transfer Processes 78
- Computational Mechanics 248
- Statistical and Nonlinear Physics 139
Countries citing papers authored by Xiaoye Dai
This map shows the geographic impact of Xiaoye Dai'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 Xiaoye Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoye Dai more than expected).
Fields of papers citing papers by Xiaoye Dai
This network shows the impact of papers produced by Xiaoye Dai. 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 Xiaoye Dai. The network helps show where Xiaoye Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoye Dai, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 7 | |
| 8 | 2024 | 5 | |
| 9 | 2024 | 0 | |
| 10 | 2023 | 15 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 5 | |
| 13 | 2022 | 15 | |
| 14 | 2022 | 5 | |
| 15 | 2021 | 22 | |
| 16 | 2019 | 34 | |
| 17 | 2018 | 31 | |
| 18 | 2017 | 11 | |
| 19 | Experiment Research for the Thermal Stability of Isobutene and Isopentane | 2013 | 13 |
| 20 | SIMULATION OF STEEL COIL HEAT TRANSFER IN HPH FURNACE | 2005 | 1 |
About Xiaoye Dai
Xiaoye Dai is a scholar working on Computational Mechanics, Mechanical Engineering, Fluid Flow and Transfer Processes, Statistical and Nonlinear Physics and Renewable Energy, Sustainability and the Environment, having authored 53 papers that have together received 964 indexed citations. Recurring topics across this work include Thermodynamic and Exergetic Analyses of Power and Cooling Systems (24 papers), Heat transfer and supercritical fluids (14 papers), Combustion and flame dynamics (8 papers), Advanced Thermodynamic Systems and Engines (7 papers), Refrigeration and Air Conditioning Technologies (7 papers), Phase Change Materials Research (6 papers), Advanced Thermodynamics and Statistical Mechanics (4 papers) and Building Energy and Comfort Optimization (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (55 citations), Mechanical Engineering (607 citations), Fluid Flow and Transfer Processes (78 citations), Computational Mechanics (248 citations) and Statistical and Nonlinear Physics (139 citations). Xiaoye Dai has collaborated with scholars based in China, Germany and United Kingdom. Frequent co-authors include Lin Shi, Weizhong Qian, Qingsong An, Ran Tian, Lin Shi, Dabiao Wang, Qianghui Xu, Danxing Zheng, Y.G. Zhao and Long Wei. Their work appears in journals such as Applied Thermal Engineering, Energy Conversion and Management, International Journal of Heat and Mass Transfer, International Journal of Energy Research and Physical review. E.
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.