Huawei Wu
Impact in
- Automotive Engineering top 5%
- Advanced Battery Technologies Research
- Electric and Hybrid Vehicle Technologies
-
- Machine Fault Diagnosis Techniques
- Traffic control and management
Papers in
-
- Heat Transfer and Optimization 9
- Gear and Bearing Dynamics Analysis 5
- Heat Transfer Mechanisms 5
-
- Machine Fault Diagnosis Techniques 17
- Fault Detection and Control Systems 7
- Co-authors
- Yiwei Fan (3 shared papers)Zhaohui Wang (3 shared papers)Mingzhu Tang (17 shared papers)Ting Fu (1 shared paper)Qi Zhao (8 shared papers)Chentong Bian (1 shared paper)Weichao Zhuang (1 shared paper)Wen Long (4 shared papers)
- Journals
- Frontiers in Energy Research (5 papers)Sensors (4 papers)Energies (3 papers)Fractals (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Huawei Wu
66 papers receiving 984 citations
Peers
Comparison fields: 5 of 119
- Automotive Engineering 234
- Control and Systems Engineering 213
- Mechanical Engineering 311
- Electrical and Electronic Engineering 277
- Metals and Alloys 12
Countries citing papers authored by Huawei Wu
This map shows the geographic impact of Huawei Wu'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 Huawei Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huawei Wu more than expected).
Fields of papers citing papers by Huawei Wu
This network shows the impact of papers produced by Huawei Wu. 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 Huawei Wu. The network helps show where Huawei Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Huawei Wu, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 106 | |
| 2 | 2020 | 80 | |
| 3 | 2019 | 79 | |
| 4 | 2022 | 78 | |
| 5 | 2011 | 68 | |
| 6 | 1992 | 41 | |
| 7 | 2019 | 41 | |
| 8 | 2019 | 32 | |
| 9 | 2021 | 26 | |
| 10 | 2007 | 24 | |
| 11 | 2022 | 23 | |
| 12 | 2014 | 21 | |
| 13 | 2005 | 20 | |
| 14 | 2001 | 20 | |
| 15 | 2022 | 19 | |
| 16 | 2021 | 17 | |
| 17 | 2019 | 17 | |
| 18 | 2022 | 16 | |
| 19 | 2020 | 15 | |
| 20 | 2022 | 15 |
About Huawei Wu
Huawei Wu is a scholar working on Mechanical Engineering, Control and Systems Engineering, Electrical and Electronic Engineering, Materials Chemistry and Automotive Engineering, having authored 74 papers that have together received 1.0k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (17 papers), Heat Transfer and Optimization (9 papers), Fault Detection and Control Systems (7 papers), Gear and Bearing Dynamics Analysis (5 papers), Traffic Prediction and Management Techniques (5 papers), Heat Transfer Mechanisms (5 papers), Autonomous Vehicle Technology and Safety (4 papers) and Turbomachinery Performance and Optimization (4 papers). The work is most often cited by research in Automotive Engineering (234 citations), Control and Systems Engineering (213 citations), Mechanical Engineering (311 citations), Electrical and Electronic Engineering (277 citations) and Metals and Alloys (12 citations). Huawei Wu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Yiwei Fan, Zhaohui Wang, Mingzhu Tang, Ting Fu, Qi Zhao, Chentong Bian, Weichao Zhuang, Wen Long, Liwei Xu and Guodong Yin. Their work appears in journals such as Frontiers in Energy Research, Sensors, Energies, Fractals and Scientific Reports.
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.