Xunkai Wei
Impact in
- Control and Systems Engineering top 10%
- Machine Fault Diagnosis Techniques
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- Tribology and Lubrication Engineering
- Lubricants and Their Additives
- Gear and Bearing Dynamics Analysis
Papers in
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- Machine Fault Diagnosis Techniques 7
- Aerospace Engineering and Applications 5
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- Machine Learning and ELM 7
- Machine Learning and Data Classification 6
- Anomaly Detection Techniques and Applications 6
- Co-authors
- Yinghong Li (9 shared papers)Qunfeng Zeng (8 shared papers)Yue Feng (4 shared papers)Yinghong Li (7 shared papers)Dengji Zhou (2 shared papers)Guang-Bin Huang (3 shared papers)Hongrui Cao (4 shared papers)Zhao Wang (2 shared papers)
In The Last Decade
Xunkai Wei
45 papers receiving 280 citations
Peers
Comparison fields: 5 of 38
- Control and Systems Engineering 97
- Mechanical Engineering 83
- Metals and Alloys 5
- Mechanics of Materials 39
- Artificial Intelligence 42
Countries citing papers authored by Xunkai Wei
This map shows the geographic impact of Xunkai 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 Xunkai Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xunkai Wei more than expected).
Fields of papers citing papers by Xunkai Wei
This network shows the impact of papers produced by Xunkai 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 Xunkai Wei. The network helps show where Xunkai Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xunkai 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 20 | |
| 2 | 2006 | 18 | |
| 3 | 2023 | 16 | |
| 4 | 2023 | 16 | |
| 5 | 2007 | 14 | |
| 6 | 2022 | 13 | |
| 7 | 2023 | 13 | |
| 8 | 2024 | 13 | |
| 9 | 2023 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2007 | 9 | |
| 14 | 2023 | 8 | |
| 15 | 2023 | 8 | |
| 16 | 2024 | 7 | |
| 17 | 2007 | 6 | |
| 18 | 2023 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2024 | 6 |
About Xunkai Wei
Xunkai Wei is a scholar working on Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering, Mechanics of Materials and Metals and Alloys, having authored 47 papers that have together received 284 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (7 papers), Tribology and Lubrication Engineering (7 papers), Machine Learning and ELM (7 papers), Machine Learning and Data Classification (6 papers), Anomaly Detection Techniques and Applications (6 papers), Corrosion Behavior and Inhibition (5 papers), Aerospace Engineering and Applications (5 papers) and Metal and Thin Film Mechanics (4 papers). The work is most often cited by research in Control and Systems Engineering (97 citations), Mechanical Engineering (83 citations), Metals and Alloys (5 citations), Mechanics of Materials (39 citations) and Artificial Intelligence (42 citations). Xunkai Wei has collaborated with scholars based in China, Singapore and Hong Kong. Frequent co-authors include Yinghong Li, Qunfeng Zeng, Yue Feng, Yinghong Li, Dengji Zhou, Guang-Bin Huang, Hongrui Cao, Zhao Wang, Wenping Pan and Xingyun Jia. Their work appears in journals such as Engineering Failure Analysis, Neural Computing and Applications, Corrosion Science, International Journal of Non-Linear Mechanics and Colloids and Surfaces A Physicochemical and Engineering Aspects.
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.