Long Wei
Impact in
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- Advanced Combustion Engine Technologies
- Automotive Engineering top 5%
- Vehicle emissions and performance
- Brake Systems and Friction Analysis
Papers in
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- Tribology and Lubrication Engineering 15
- Gear and Bearing Dynamics Analysis 11
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- Adhesion, Friction, and Surface Interactions 10
- Tribology and Wear Analysis 4
- Co-authors
- C.S. Cheung (11 shared papers)Zhi Ning (5 shared papers)Zuohua Huang (2 shared papers)Yat Sze Choy (5 shared papers)Xingjia Man (1 shared paper)Ka‐Fu Yung (2 shared papers)Meisam Ahmadi Ghadikolaei (2 shared papers)Ke Yang (1 shared paper)
- Journals
- Wear (4 papers)Fuel (3 papers)Energy (2 papers)IEEE Transactions on Power Electronics (1 paper)Tribology International (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Long Wei
34 papers receiving 764 citations
Peers
Comparison fields: 5 of 53
- Fluid Flow and Transfer Processes 440
- Automotive Engineering 290
- Biomedical Engineering 472
- Mechanical Engineering 210
- Mechanics of Materials 121
Countries citing papers authored by Long Wei
This map shows the geographic impact of Long Wei'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 Long Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Wei more than expected).
Fields of papers citing papers by Long Wei
This network shows the impact of papers produced by Long Wei. 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 Long Wei. The network helps show where Long Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Wei, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 142 | |
| 2 | 2018 | 135 | |
| 3 | 2017 | 93 | |
| 4 | 2017 | 72 | |
| 5 | 2019 | 49 | |
| 6 | 2019 | 41 | |
| 7 | 2020 | 41 | |
| 8 | 2016 | 37 | |
| 9 | 2018 | 30 | |
| 10 | 2020 | 26 | |
| 11 | 2020 | 22 | |
| 12 | 2012 | 15 | |
| 13 | 2019 | 11 | |
| 14 | 2004 | 11 | |
| 15 | 2018 | 10 | |
| 16 | 2023 | 10 | |
| 17 | 2011 | 6 | |
| 18 | 2009 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2013 | 3 |
About Long Wei
Long Wei is a scholar working on Mechanical Engineering, Mechanics of Materials, Biomedical Engineering, Automotive Engineering and Fluid Flow and Transfer Processes, having authored 37 papers that have together received 782 indexed citations. Recurring topics across this work include Tribology and Lubrication Engineering (15 papers), Gear and Bearing Dynamics Analysis (11 papers), Adhesion, Friction, and Surface Interactions (10 papers), Advanced Combustion Engine Technologies (8 papers), Biodiesel Production and Applications (7 papers), Brake Systems and Friction Analysis (5 papers), Vehicle emissions and performance (4 papers) and Tribology and Wear Analysis (4 papers). The work is most often cited by research in Fluid Flow and Transfer Processes (440 citations), Automotive Engineering (290 citations), Biomedical Engineering (472 citations), Mechanical Engineering (210 citations) and Mechanics of Materials (121 citations). Long Wei has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include C.S. Cheung, Zhi Ning, Zuohua Huang, Yat Sze Choy, Xingjia Man, Ka‐Fu Yung, Meisam Ahmadi Ghadikolaei, Ke Yang, Chenglong Tang and Duo Jin. Their work appears in journals such as Wear, Fuel, Energy, IEEE Transactions on Power Electronics and Tribology International.
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.