Shuaipeng Wu
- Control and Systems Engineering top 1%
- Mechanical Engineering top 5%
- Mechanics of Materials top 5%
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Co-authors
- Haidong ShaoHongkai JiangWenjing DuanXingqiu LiTianchen LiangHaizhou ZhangFuan WangRuishan Zhang
- Topics
- Gear and Bearing Dynamics Analysis (5 papers)Machine Fault Diagnosis Techniques (5 papers)Fault Detection and Control Systems (2 papers)
- Journals
- Mechanical Systems and Signal ProcessingKnowledge-Based SystemsMeasurement Science and Technology
- Partner nations
- ChinaUnited KingdomCanada
In The Last Decade
Shuaipeng Wu
5 papers receiving 765 citations
Hit Papers
Peers
Comparison fields: 5 of 55
- Control and Systems Engineering 720
- Mechanical Engineering 482
- Mechanics of Materials 284
- Artificial Intelligence 96
- Electrical and Electronic Engineering 46
Countries citing papers authored by Shuaipeng Wu
This map shows the geographic impact of Shuaipeng 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 Shuaipeng Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuaipeng Wu more than expected).
Fields of papers citing papers by Shuaipeng Wu
This network shows the impact of papers produced by Shuaipeng 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 Shuaipeng Wu. The network helps show where Shuaipeng Wu may publish in the future.
Co-authorship network of co-authors of Shuaipeng Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Shuaipeng Wu. A scholar is included among the top collaborators of Shuaipeng Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Shuaipeng Wu. Shuaipeng Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 28 | |
| 4 | Intelligent fault diagnosis of rolling bearing using deep wavelet auto-encoder with extreme learning machinebreakdown → | 270 |
| 5 | Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensingbreakdown → | 326 |
| 6 | 174 |
About Shuaipeng Wu
Shuaipeng Wu is a scholar working on Control and Systems Engineering, Mechanical Engineering and Mechanics of Materials, having authored 6 papers that have together received 803 indexed citations. Recurring topics across this work include Gear and Bearing Dynamics Analysis (5 papers), Machine Fault Diagnosis Techniques (5 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (720 citations), Mechanical Engineering (482 citations) and Mechanics of Materials (284 citations). Shuaipeng Wu has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Haidong Shao, Hongkai Jiang, Wenjing Duan, Xingqiu Li, Tianchen Liang, Haizhou Zhang, Fuan Wang, Ruishan Zhang, Haoyu Wang and Yang Wang. Their work appears in journals such as Mechanical Systems and Signal Processing, Knowledge-Based Systems and Measurement Science and Technology.
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.