Wei Dai
Impact in
- Mechanical Engineering top 0.5%
- Advanced Thermodynamic Systems and Engines
- Carbon Dioxide Capture Technologies
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- Electromagnetic wave absorption materials
Papers in
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- Advanced Thermodynamic Systems and Engines 73
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- Hydrogen Storage and Materials 8
- Boron and Carbon Nanomaterials Research 4
- Co-authors
- Ercang Luo (67 shared papers)Guoyao Yu (28 shared papers)Jianying Hu (23 shared papers)Zhanghua Wu (19 shared papers)Kin Huat Low (14 shared papers)Bizhao Pang (7 shared papers)Shunmin Zhu (10 shared papers)Limin Zhang (7 shared papers)
- Journals
- Cryogenics (13 papers)Applied Energy (12 papers)International Journal of Refrigeration (6 papers)Energy (5 papers)Applied Thermal Engineering (5 papers)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Wei Dai
156 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 71
- Mechanical Engineering 1.7k
- Electronic, Optical and Magnetic Materials 297
- Energy Engineering and Power Technology 32
- Materials Chemistry 477
- Aerospace Engineering 270
Countries citing papers authored by Wei Dai
This map shows the geographic impact of Wei 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 Wei Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Dai more than expected).
Fields of papers citing papers by Wei Dai
This network shows the impact of papers produced by Wei 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 Wei Dai. The network helps show where Wei Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei 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
Showing the 20 most-cited of 162 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 187 | |
| 2 | 2018 | 95 | |
| 3 | 2023 | 90 | |
| 4 | 2022 | 88 | |
| 5 | 2024 | 88 | |
| 6 | 2021 | 86 | |
| 7 | 2014 | 77 | |
| 8 | 2021 | 73 | |
| 9 | 2012 | 67 | |
| 10 | 2005 | 66 | |
| 11 | 2007 | 65 | |
| 12 | 2020 | 61 | |
| 13 | 2014 | 59 | |
| 14 | 2020 | 52 | |
| 15 | 2019 | 51 | |
| 16 | 2020 | 50 | |
| 17 | 2005 | 49 | |
| 18 | 2019 | 48 | |
| 19 | 2020 | 46 | |
| 20 | 2020 | 45 |
About Wei Dai
Wei Dai is a scholar working on Mechanical Engineering, Materials Chemistry, Aerospace Engineering, Electronic, Optical and Magnetic Materials and Inorganic Chemistry, having authored 162 papers that have together received 3.4k indexed citations. Recurring topics across this work include Advanced Thermodynamic Systems and Engines (73 papers), Air Traffic Management and Optimization (15 papers), Advanced Chemical Physics Studies (9 papers), Hydrogen Storage and Materials (8 papers), Electromagnetic wave absorption materials (6 papers), Nanomaterials for catalytic reactions (5 papers), Boron and Carbon Nanomaterials Research (4 papers) and High-pressure geophysics and materials (4 papers). The work is most often cited by research in Mechanical Engineering (1.7k citations), Electronic, Optical and Magnetic Materials (297 citations), Energy Engineering and Power Technology (32 citations), Materials Chemistry (477 citations) and Aerospace Engineering (270 citations). Wei Dai has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Ercang Luo, Guoyao Yu, Jianying Hu, Zhanghua Wu, Kin Huat Low, Bizhao Pang, Shunmin Zhu, Limin Zhang, Xiaotao Wang and Jun Wang. Their work appears in journals such as Cryogenics, Applied Energy, International Journal of Refrigeration, 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.