Min Xia
Impact in
- Control and Systems Engineering top 0.2%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
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- Industrial Vision Systems and Defect Detection
- Digital Transformation in Industry
Papers in
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- Machine Fault Diagnosis Techniques 45
- Fault Detection and Control Systems 26
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- Gear and Bearing Dynamics Analysis 12
- Non-Destructive Testing Techniques 8
- Co-authors
- Clarence W. de Silva (17 shared papers)Jiafu Wan (10 shared papers)Haidong Shao (6 shared papers)Teng Li (8 shared papers)Lin Xu (1 shared paper)Lizhi Liu (1 shared paper)Changqing Shen (8 shared papers)Dong Wang (6 shared papers)
- Journals
- IEEE Transactions on Instrumentation and Measurement (14 papers)IEEE Transactions on Industrial Informatics (13 papers)Reliability Engineering & System Safety (4 papers)IEEE Internet of Things Journal (4 papers)IEEE/ASME Transactions on Mechatronics (3 papers)
- Partner nations
- ChinaUnited KingdomCanada
In The Last Decade
Min Xia
102 papers receiving 4.2k citations
Min Xia's Hit Papers
Peers
Comparison fields: 5 of 127
- Control and Systems Engineering 2.5k
- Industrial and Manufacturing Engineering 541
- Medical Laboratory Technology 72
- Mechanical Engineering 1.6k
- Mechanics of Materials 886
Countries citing papers authored by Min Xia
This map shows the geographic impact of Min Xia'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 Min Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Xia more than expected).
Fields of papers citing papers by Min Xia
This network shows the impact of papers produced by Min Xia. 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 Min Xia. The network helps show where Min Xia may publish in the future.
Co-authors
The 25 scholars most cited alongside Min Xia, 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 112 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fault Diagnosis for Rotating Machinery Using Multiple Sensors and Convolutional Neural Networks Hit paper breakdown → | 2017 | 578 |
| 2 | Intelligent Fault Diagnosis of Rotor-Bearing System Under Varying Working Conditions With Modified Transfer Convolutional Neural Network and Thermal Images Hit paper breakdown → | 2020 | 373 |
| 3 | Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning Hit paper breakdown → | 2021 | 291 |
| 4 | Multi-scale deep intra-class transfer learning for bearing fault diagnosis Hit paper breakdown → | 2020 | 267 |
| 5 | A Stacked GRU-RNN-Based Approach for Predicting Renewable Energy and Electricity Load for Smart Grid Operation Hit paper breakdown → | 2021 | 260 |
| 6 | Fog Computing for Energy-Aware Load Balancing and Scheduling in Smart Factory Hit paper breakdown → | 2018 | 244 |
| 7 | A Two-Stage Approach for the Remaining Useful Life Prediction of Bearings Using Deep Neural Networks Hit paper breakdown → | 2018 | 241 |
| 8 | 2019 | 186 | |
| 9 | Modified Stacked Autoencoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery Hit paper breakdown → | 2021 | 170 |
| 10 | Adversarial Domain-Invariant Generalization: A Generic Domain-Regressive Framework for Bearing Fault Diagnosis Under Unseen Conditions Hit paper breakdown → | 2021 | 164 |
| 11 | 2017 | 110 | |
| 12 | 2020 | 88 | |
| 13 | Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions Hit paper breakdown → | 2023 | 83 |
| 14 | 2021 | 54 | |
| 15 | 2021 | 54 | |
| 16 | 2019 | 47 | |
| 17 | 2022 | 47 | |
| 18 | 2022 | 45 | |
| 19 | 2020 | 41 | |
| 20 | 2023 | 39 |
About Min Xia
Min Xia is a scholar working on Control and Systems Engineering, Mechanical Engineering, Artificial Intelligence, Electrical and Electronic Engineering and Industrial and Manufacturing Engineering, having authored 112 papers that have together received 4.4k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (45 papers), Fault Detection and Control Systems (26 papers), Gear and Bearing Dynamics Analysis (12 papers), Industrial Vision Systems and Defect Detection (8 papers), Digital Transformation in Industry (8 papers), Non-Destructive Testing Techniques (8 papers), Engineering Diagnostics and Reliability (7 papers) and Anomaly Detection Techniques and Applications (7 papers). The work is most often cited by research in Control and Systems Engineering (2.5k citations), Industrial and Manufacturing Engineering (541 citations), Medical Laboratory Technology (72 citations), Mechanical Engineering (1.6k citations) and Mechanics of Materials (886 citations). Min Xia has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Clarence W. de Silva, Jiafu Wan, Haidong Shao, Teng Li, Lin Xu, Lizhi Liu, Changqing Shen, Dong Wang, Yu Zhang and Guangjie Han. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, IEEE Transactions on Industrial Informatics, Reliability Engineering & System Safety, IEEE Internet of Things Journal and IEEE/ASME Transactions on Mechatronics.
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.