Baoxuan Zhao
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Civil and Structural Engineering top 10%
- Mechanics of Materials
- Artificial Intelligence
- Topics
- Machine Fault Diagnosis Techniques (9 papers)Structural Health Monitoring Techniques (7 papers)Iterative Learning Control Systems (2 papers)
- Journals
- Journal of Sound and VibrationMechanical Systems and Signal ProcessingIEEE Transactions on Instrumentation and Measurement
- Partner nations
- China
In The Last Decade
Baoxuan Zhao
12 papers receiving 318 citations
Hit Papers
Peers
Comparison fields: 5 of 48
- Control and Systems Engineering 213
- Mechanical Engineering 115
- Civil and Structural Engineering 84
- Mechanics of Materials 68
- Artificial Intelligence 48
Countries citing papers authored by Baoxuan Zhao
This map shows the geographic impact of Baoxuan Zhao'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 Baoxuan Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baoxuan Zhao more than expected).
Fields of papers citing papers by Baoxuan Zhao
This network shows the impact of papers produced by Baoxuan Zhao. 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 Baoxuan Zhao. The network helps show where Baoxuan Zhao may publish in the future.
Co-authorship network of co-authors of Baoxuan Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Baoxuan Zhao. A scholar is included among the top collaborators of Baoxuan Zhao 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 Baoxuan Zhao. Baoxuan Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 16 | |
| 3 | TFN: An interpretable neural network with time-frequency transform embedded for intelligent fault diagnosisbreakdown → | 101 |
| 4 | 10 | |
| 5 | 20 | |
| 6 | 8 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 29 | |
| 10 | 14 | |
| 11 | 26 | |
| 12 | 83 | |
| 13 | Nonlinear Classification of AVO Attributes Using SVM | 1 |
About Baoxuan Zhao
Baoxuan Zhao is a scholar working on Control and Systems Engineering, Civil and Structural Engineering and Radiological and Ultrasound Technology, having authored 13 papers that have together received 325 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (9 papers), Structural Health Monitoring Techniques (7 papers) and Iterative Learning Control Systems (2 papers). The work is most often cited by research in Control and Systems Engineering (213 citations), Civil and Structural Engineering (84 citations) and Mechanical Engineering (115 citations). Baoxuan Zhao has collaborated with scholars based in China. Frequent co-authors include Zhike Peng, Changming Cheng, Xingjian Dong, Guang Meng, Dong Wang, Qingbo He, Lan Hu, Shiqian Chen, Guanzhen Zhang and Hongping Zhou. Their work appears in journals such as Journal of Sound and Vibration, Mechanical Systems and Signal Processing and IEEE Transactions on Instrumentation and Measurement.
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.