Saibo Xing
Impact in
- Control and Systems Engineering top 0.2%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Mechanical Engineering top 0.5%
- Gear and Bearing Dynamics Analysis
- Non-Destructive Testing Techniques
Papers in
-
- Machine Fault Diagnosis Techniques 13
- Fault Detection and Control Systems 7
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- Gear and Bearing Dynamics Analysis 4
- Non-Destructive Testing Techniques 2
- Co-authors
- Yaguo Lei (13 shared papers)Feng Jia (9 shared papers)Liang Guo (3 shared papers)Jing Lin (5 shared papers)Naipeng Li (4 shared papers)Bin Yang (3 shared papers)Tao Yan (1 shared paper)Steven X. Ding (1 shared paper)
In The Last Decade
Saibo Xing
13 papers receiving 3.9k citations
Saibo Xing's Hit Papers
Peers
Comparison fields: 5 of 102
- Control and Systems Engineering 3.4k
- Mechanical Engineering 2.0k
- Mechanics of Materials 1.2k
- Industrial and Manufacturing Engineering 299
- Radiological and Ultrasound Technology 119
Countries citing papers authored by Saibo Xing
This map shows the geographic impact of Saibo Xing'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 Saibo Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saibo Xing more than expected).
Fields of papers citing papers by Saibo Xing
This network shows the impact of papers produced by Saibo Xing. 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 Saibo Xing. The network helps show where Saibo Xing may publish in the future.
Co-authors
The 10 scholars most cited alongside Saibo Xing, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data Hit paper breakdown → | 2018 | 993 |
| 2 | An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data Hit paper breakdown → | 2016 | 984 |
| 3 | An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings Hit paper breakdown → | 2019 | 719 |
| 4 | Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization Hit paper breakdown → | 2018 | 498 |
| 5 | A neural network constructed by deep learning technique and its application to intelligent fault diagnosis of machines Hit paper breakdown → | 2017 | 443 |
| 6 | 2020 | 136 | |
| 7 | 2021 | 99 | |
| 8 | 2021 | 72 | |
| 9 | 2017 | 33 | |
| 10 | 2018 | 24 | |
| 11 | 2015 | 14 | |
| 12 | 2017 | 8 | |
| 13 | 2016 | 7 |
About Saibo Xing
Saibo Xing is a scholar working on Control and Systems Engineering, Mechanical Engineering, Mechanics of Materials, Artificial Intelligence and Molecular Biology, having authored 13 papers that have together received 4.0k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (13 papers), Fault Detection and Control Systems (7 papers), Engineering Diagnostics and Reliability (4 papers), Gear and Bearing Dynamics Analysis (4 papers), Non-Destructive Testing Techniques (2 papers), Infrastructure Maintenance and Monitoring (1 paper), Domain Adaptation and Few-Shot Learning (1 paper) and Anomaly Detection Techniques and Applications (1 paper). The work is most often cited by research in Control and Systems Engineering (3.4k citations), Mechanical Engineering (2.0k citations), Mechanics of Materials (1.2k citations), Industrial and Manufacturing Engineering (299 citations) and Radiological and Ultrasound Technology (119 citations). Saibo Xing has collaborated with scholars based in China and Germany. Frequent co-authors include Yaguo Lei, Feng Jia, Liang Guo, Jing Lin, Naipeng Li, Bin Yang, Tao Yan, Steven X. Ding, Na Lü and Shuhui Wang. Their work appears in journals such as IEEE Transactions on Industrial Electronics, Mechanical Systems and Signal Processing and Neurocomputing.
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.