Pingbo Wu
Impact in
- General Engineering top 0.5%
- Civil and Geotechnical Engineering Research
- Mechanical Engineering top 1%
- Railway Engineering and Dynamics
- Gear and Bearing Dynamics Analysis
Papers in
-
- Railway Engineering and Dynamics 70
- Gear and Bearing Dynamics Analysis 17
-
- Structural Engineering and Vibration Analysis 12
- Structural Health Monitoring Techniques 11
- Co-authors
- Jing Zeng (38 shared papers)Huailong Shi (14 shared papers)Hao Wu (13 shared papers)Fansong Li (18 shared papers)Xingwen Wu (10 shared papers)Chunyuan Song (5 shared papers)Sheng Qu (11 shared papers)Jianbin Wang (7 shared papers)
In The Last Decade
Pingbo Wu
86 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 79
- General Engineering 260
- Mechanical Engineering 1.3k
- Civil and Structural Engineering 582
- Mechanics of Materials 567
- Industrial and Manufacturing Engineering 160
Countries citing papers authored by Pingbo Wu
This map shows the geographic impact of Pingbo 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 Pingbo Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pingbo Wu more than expected).
Fields of papers citing papers by Pingbo Wu
This network shows the impact of papers produced by Pingbo 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 Pingbo Wu. The network helps show where Pingbo Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pingbo 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 92 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 83 | |
| 2 | 2019 | 71 | |
| 3 | 2015 | 67 | |
| 4 | 2019 | 67 | |
| 5 | 2018 | 65 | |
| 6 | 2020 | 60 | |
| 7 | 2016 | 58 | |
| 8 | 2014 | 54 | |
| 9 | 2019 | 53 | |
| 10 | 2004 | 49 | |
| 11 | 2016 | 45 | |
| 12 | 2008 | 44 | |
| 13 | 2014 | 38 | |
| 14 | 2015 | 38 | |
| 15 | 2020 | 36 | |
| 16 | 2024 | 32 | |
| 17 | 2021 | 32 | |
| 18 | 2018 | 31 | |
| 19 | 2019 | 31 | |
| 20 | 2019 | 30 |
About Pingbo Wu
Pingbo Wu is a scholar working on Mechanical Engineering, Civil and Structural Engineering, Mechanics of Materials, General Engineering and Control and Systems Engineering, having authored 92 papers that have together received 1.6k indexed citations. Recurring topics across this work include Railway Engineering and Dynamics (70 papers), Mechanical stress and fatigue analysis (29 papers), Civil and Geotechnical Engineering Research (22 papers), Gear and Bearing Dynamics Analysis (17 papers), Fatigue and fracture mechanics (13 papers), Structural Engineering and Vibration Analysis (12 papers), Structural Health Monitoring Techniques (11 papers) and Railway Systems and Energy Efficiency (8 papers). The work is most often cited by research in General Engineering (260 citations), Mechanical Engineering (1.3k citations), Civil and Structural Engineering (582 citations), Mechanics of Materials (567 citations) and Industrial and Manufacturing Engineering (160 citations). Pingbo Wu has collaborated with scholars based in China, Germany and Canada. Frequent co-authors include Jing Zeng, Huailong Shi, Hao Wu, Fansong Li, Xingwen Wu, Chunyuan Song, Sheng Qu, Jianbin Wang, Huanyun Dai and Maoru Chi. Their work appears in journals such as Vehicle System Dynamics, Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit, Engineering Failure Analysis, Wear and Mechanical Systems and Signal Processing.
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.