Ling Xiang
Impact in
- Control and Systems Engineering top 0.5%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Magnetic Bearings and Levitation Dynamics
- Mechanical Engineering top 1%
- Gear and Bearing Dynamics Analysis
- Tribology and Lubrication Engineering
Papers in
-
- Machine Fault Diagnosis Techniques 59
- Fault Detection and Control Systems 14
- Magnetic Bearings and Levitation Dynamics 13
-
- Gear and Bearing Dynamics Analysis 49
- Tribology and Lubrication Engineering 22
- Co-authors
- Aijun Hu (53 shared papers)Hao Su (15 shared papers)Xin Yang (8 shared papers)Aijun Hu (18 shared papers)Xiaoan Yan (8 shared papers)Yonggang Xu (9 shared papers)Penghe Wang (2 shared papers)Nan Gao (4 shared papers)
- Journals
- Measurement (10 papers)Measurement Science and Technology (8 papers)Mechanical Systems and Signal Processing (6 papers)Applied Mathematical Modelling (6 papers)International Journal of Bifurcation and Chaos (5 papers)
- Partner nations
- ChinaUnited KingdomThailand
In The Last Decade
Ling Xiang
97 papers receiving 2.8k citations
Ling Xiang's Hit Papers
Peers
Comparison fields: 5 of 87
- Control and Systems Engineering 1.9k
- Mechanical Engineering 1.4k
- Mechanics of Materials 573
- Energy Engineering and Power Technology 53
- Safety, Risk, Reliability and Quality 134
Countries citing papers authored by Ling Xiang
This map shows the geographic impact of Ling Xiang'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 Ling Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Xiang more than expected).
Fields of papers citing papers by Ling Xiang
This network shows the impact of papers produced by Ling Xiang. 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 Ling Xiang. The network helps show where Ling Xiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ling Xiang, 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 110 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Fault detection of wind turbine based on SCADA data analysis using CNN and LSTM with attention mechanism Hit paper breakdown → | 2021 | 277 |
| 2 | A novel method based on meta-learning for bearing fault diagnosis with small sample learning under different working conditions Hit paper breakdown → | 2022 | 190 |
| 3 | Condition monitoring and anomaly detection of wind turbine based on cascaded and bidirectional deep learning networks Hit paper breakdown → | 2021 | 167 |
| 4 | 2016 | 122 | |
| 5 | 2022 | 107 | |
| 6 | 2020 | 104 | |
| 7 | 2021 | 102 | |
| 8 | 2017 | 79 | |
| 9 | MRCFN: A multi-sensor residual convolutional fusion network for intelligent fault diagnosis of bearings in noisy and small sample scenarios Hit paper breakdown → | 2024 | 65 |
| 10 | 2017 | 65 | |
| 11 | 2015 | 64 | |
| 12 | 2022 | 60 | |
| 13 | 2023 | 59 | |
| 14 | 2019 | 57 | |
| 15 | 2016 | 51 | |
| 16 | 2023 | 48 | |
| 17 | 2022 | 46 | |
| 18 | 2015 | 45 | |
| 19 | CDTFAFN: A novel coarse-to-fine dual-scale time-frequency attention fusion network for machinery vibro-acoustic fault diagnosis Hit paper breakdown → | 2024 | 44 |
| 20 | 2022 | 44 |
About Ling Xiang
Ling Xiang is a scholar working on Control and Systems Engineering, Mechanical Engineering, Electrical and Electronic Engineering, Mechanics of Materials and Civil and Structural Engineering, having authored 110 papers that have together received 2.9k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (59 papers), Gear and Bearing Dynamics Analysis (49 papers), Tribology and Lubrication Engineering (22 papers), Engineering Diagnostics and Reliability (15 papers), Fault Detection and Control Systems (14 papers), Magnetic Bearings and Levitation Dynamics (13 papers), Energy Load and Power Forecasting (12 papers) and Structural Health Monitoring Techniques (12 papers). The work is most often cited by research in Control and Systems Engineering (1.9k citations), Mechanical Engineering (1.4k citations), Mechanics of Materials (573 citations), Energy Engineering and Power Technology (53 citations) and Safety, Risk, Reliability and Quality (134 citations). Ling Xiang has collaborated with scholars based in China, United Kingdom and Thailand. Frequent co-authors include Aijun Hu, Hao Su, Xin Yang, Aijun Hu, Xiaoan Yan, Yonggang Xu, Penghe Wang, Nan Gao, Yue Zhang and Minping Jia. Their work appears in journals such as Measurement, Measurement Science and Technology, Mechanical Systems and Signal Processing, Applied Mathematical Modelling and International Journal of Bifurcation and Chaos.
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.