Jinglong Chen
Impact in
- Control and Systems Engineering top 0.05%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Mechanical Engineering top 0.5%
- Gear and Bearing Dynamics Analysis
- Non-Destructive Testing Techniques
- Advanced machining processes and optimization
Papers in
-
- Machine Fault Diagnosis Techniques 136
- Fault Detection and Control Systems 63
-
- Gear and Bearing Dynamics Analysis 40
- Non-Destructive Testing Techniques 14
- Co-authors
- Zitong Zhou (53 shared papers)Yanyang Zi (42 shared papers)Shuilong He (47 shared papers)Tongyang Pan (40 shared papers)Tianci Zhang (21 shared papers)Jun Pan (17 shared papers)Haixin Lv (19 shared papers)Yong Feng (26 shared papers)
In The Last Decade
Jinglong Chen
186 papers receiving 7.3k citations
Jinglong Chen's Hit Papers
Peers
Comparison fields: 5 of 134
- Control and Systems Engineering 5.6k
- Mechanical Engineering 3.0k
- Mechanics of Materials 1.6k
- Medical Laboratory Technology 82
- Safety, Risk, Reliability and Quality 392
Countries citing papers authored by Jinglong Chen
This map shows the geographic impact of Jinglong Chen'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 Jinglong Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinglong Chen more than expected).
Fields of papers citing papers by Jinglong Chen
This network shows the impact of papers produced by Jinglong Chen. 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 Jinglong Chen. The network helps show where Jinglong Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinglong Chen, 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 193 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review Hit paper breakdown → | 2015 | 440 |
| 2 | Intelligent fault diagnosis of machines with small & imbalanced data: A state-of-the-art review and possible extensions Hit paper breakdown → | 2021 | 432 |
| 3 | Gated recurrent unit based recurrent neural network for remaining useful life prediction of nonlinear deterioration process Hit paper breakdown → | 2019 | 388 |
| 4 | Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals Hit paper breakdown → | 2015 | 313 |
| 5 | Independence-oriented VMD to identify fault feature for wheel set bearing fault diagnosis of high speed locomotive Hit paper breakdown → | 2016 | 297 |
| 6 | LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification Hit paper breakdown → | 2017 | 259 |
| 7 | Meta-learning as a promising approach for few-shot cross-domain fault diagnosis: Algorithms, applications, and prospects Hit paper breakdown → | 2021 | 198 |
| 8 | Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis Hit paper breakdown → | 2021 | 195 |
| 9 | Generative adversarial network in mechanical fault diagnosis under small sample: A systematic review on applications and future perspectives Hit paper breakdown → | 2021 | 194 |
| 10 | Attention mechanism in intelligent fault diagnosis of machinery: A review of technique and application Hit paper breakdown → | 2022 | 166 |
| 11 | 2020 | 157 | |
| 12 | 2015 | 143 | |
| 13 | 2013 | 114 | |
| 14 | 2020 | 109 | |
| 15 | 2021 | 99 | |
| 16 | 2021 | 98 | |
| 17 | 2022 | 98 | |
| 18 | Life cycle cost analysis of power generation from underground coal gasification with carbon capture and storage (CCS) to measure the economic feasibility Hit paper breakdown → | 2024 | 97 |
| 19 | 2020 | 87 | |
| 20 | 2021 | 86 |
About Jinglong Chen
Jinglong Chen is a scholar working on Control and Systems Engineering, Mechanical Engineering, Artificial Intelligence, Mechanics of Materials and Civil and Structural Engineering, having authored 193 papers that have together received 7.4k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (136 papers), Fault Detection and Control Systems (63 papers), Gear and Bearing Dynamics Analysis (40 papers), Engineering Diagnostics and Reliability (39 papers), Anomaly Detection Techniques and Applications (33 papers), Structural Health Monitoring Techniques (20 papers), Non-Destructive Testing Techniques (14 papers) and Imbalanced Data Classification Techniques (12 papers). The work is most often cited by research in Control and Systems Engineering (5.6k citations), Mechanical Engineering (3.0k citations), Mechanics of Materials (1.6k citations), Medical Laboratory Technology (82 citations) and Safety, Risk, Reliability and Quality (392 citations). Jinglong Chen has collaborated with scholars based in China, Canada and Singapore. Frequent co-authors include Zitong Zhou, Yanyang Zi, Shuilong He, Tongyang Pan, Tianci Zhang, Jun Pan, Haixin Lv, Yong Feng, Zipeng Li and Yuanhong Chang. Their work appears in journals such as Mechanical Systems and Signal Processing, ISA Transactions, Knowledge-Based Systems, Reliability Engineering & System Safety 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.