Xiaotong Tu
Impact in
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- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
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- Image Enhancement Techniques
- Image and Signal Denoising Methods
Papers in
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- Machine Fault Diagnosis Techniques 26
- Fault Detection and Control Systems 13
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- Image Enhancement Techniques 8
- Image and Signal Denoising Methods 5
- Co-authors
- Yue Hu (20 shared papers)Fucai Li (24 shared papers)Wenjie Bao (8 shared papers)Guang Meng (3 shared papers)Hongguang Li (2 shared papers)Saqlain Abbas (14 shared papers)Xinghao Ding (33 shared papers)Yue Huang (27 shared papers)
In The Last Decade
Xiaotong Tu
60 papers receiving 1.4k citations
Xiaotong Tu's Hit Papers
Peers
Comparison fields: 5 of 84
- Control and Systems Engineering 770
- Computer Vision and Pattern Recognition 299
- Mechanical Engineering 535
- Civil and Structural Engineering 299
- Mechanics of Materials 285
Countries citing papers authored by Xiaotong Tu
This map shows the geographic impact of Xiaotong Tu'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 Xiaotong Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaotong Tu more than expected).
Fields of papers citing papers by Xiaotong Tu
This network shows the impact of papers produced by Xiaotong Tu. 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 Xiaotong Tu. The network helps show where Xiaotong Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaotong Tu, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Learning a Simple Low-Light Image Enhancer from Paired Low-Light Instances Hit paper breakdown → | 2023 | 170 |
| 2 | 2016 | 164 | |
| 3 | 2019 | 103 | |
| 4 | 2017 | 92 | |
| 5 | 2020 | 84 | |
| 6 | 2019 | 76 | |
| 7 | 2007 | 73 | |
| 8 | 2018 | 68 | |
| 9 | 2020 | 56 | |
| 10 | 2019 | 56 | |
| 11 | 2019 | 45 | |
| 12 | 2018 | 38 | |
| 13 | 2020 | 36 | |
| 14 | 2019 | 33 | |
| 15 | 2019 | 32 | |
| 16 | 2019 | 27 | |
| 17 | 2017 | 27 | |
| 18 | 2019 | 22 | |
| 19 | 2022 | 20 | |
| 20 | 2020 | 18 |
About Xiaotong Tu
Xiaotong Tu is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Civil and Structural Engineering, Mechanical Engineering and Mechanics of Materials, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (26 papers), Structural Health Monitoring Techniques (15 papers), Fault Detection and Control Systems (13 papers), Image Enhancement Techniques (8 papers), Gear and Bearing Dynamics Analysis (7 papers), Advanced Image Fusion Techniques (7 papers), Ultrasonics and Acoustic Wave Propagation (6 papers) and Image and Signal Denoising Methods (5 papers). The work is most often cited by research in Control and Systems Engineering (770 citations), Computer Vision and Pattern Recognition (299 citations), Mechanical Engineering (535 citations), Civil and Structural Engineering (299 citations) and Mechanics of Materials (285 citations). Xiaotong Tu has collaborated with scholars based in China, Sweden and Pakistan. Frequent co-authors include Yue Hu, Fucai Li, Wenjie Bao, Guang Meng, Hongguang Li, Saqlain Abbas, Xinghao Ding, Yue Huang, Zhao Zhang and Changming Cheng. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Signal Processing, Structural Health Monitoring, IEEE Sensors Journal and IEEE Transactions on Industrial Electronics.
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.