Shunming Li
Impact in
- Control and Systems Engineering top 0.2%
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Mechanical Engineering top 1%
- Gear and Bearing Dynamics Analysis
- Non-Destructive Testing Techniques
Papers in
-
- Machine Fault Diagnosis Techniques 103
- Fault Detection and Control Systems 45
-
- Gear and Bearing Dynamics Analysis 50
- Co-authors
- Jinrui Wang (40 shared papers)Xingxing Jiang (28 shared papers)Zenghui An (28 shared papers)Weiwei Qian (19 shared papers)Yu Xin (21 shared papers)Jiantao Lu (38 shared papers)Chun Cheng (15 shared papers)Yong Wang (9 shared papers)
- Journals
- Measurement Science and Technology (21 papers)Applied Sciences (14 papers)Measurement (8 papers)IEEE Access (8 papers)Neurocomputing (7 papers)
- Partner nations
- ChinaSingaporeUnited Kingdom
In The Last Decade
Shunming Li
169 papers receiving 3.4k citations
Shunming Li's Hit Papers
Peers
Comparison fields: 5 of 134
- Control and Systems Engineering 2.4k
- Mechanical Engineering 1.6k
- Mechanics of Materials 930
- Civil and Structural Engineering 551
- Ocean Engineering 204
Countries citing papers authored by Shunming Li
This map shows the geographic impact of Shunming Li'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 Shunming Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shunming Li more than expected).
Fields of papers citing papers by Shunming Li
This network shows the impact of papers produced by Shunming Li. 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 Shunming Li. The network helps show where Shunming Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Shunming Li, 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 186 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Batch-normalized deep neural networks for achieving fast intelligent fault diagnosis of machines Hit paper breakdown → | 2018 | 219 |
| 2 | 2019 | 183 | |
| 3 | 2019 | 141 | |
| 4 | 2019 | 139 | |
| 5 | 2016 | 109 | |
| 6 | 2019 | 102 | |
| 7 | 2021 | 91 | |
| 8 | 2018 | 81 | |
| 9 | 2022 | 79 | |
| 10 | 2019 | 70 | |
| 11 | 2016 | 69 | |
| 12 | 2020 | 62 | |
| 13 | 2019 | 62 | |
| 14 | 2018 | 57 | |
| 15 | 2016 | 57 | |
| 16 | 2018 | 55 | |
| 17 | 2019 | 49 | |
| 18 | 2016 | 49 | |
| 19 | 2018 | 47 | |
| 20 | 2020 | 45 |
About Shunming Li
Shunming Li is a scholar working on Control and Systems Engineering, Mechanical Engineering, Mechanics of Materials, Civil and Structural Engineering and Computer Vision and Pattern Recognition, having authored 186 papers that have together received 3.5k indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (103 papers), Gear and Bearing Dynamics Analysis (50 papers), Fault Detection and Control Systems (45 papers), Engineering Diagnostics and Reliability (42 papers), Structural Health Monitoring Techniques (13 papers), Vibration Control and Rheological Fluids (12 papers), Seismic Performance and Analysis (10 papers) and Hydrocarbon exploration and reservoir analysis (8 papers). The work is most often cited by research in Control and Systems Engineering (2.4k citations), Mechanical Engineering (1.6k citations), Mechanics of Materials (930 citations), Civil and Structural Engineering (551 citations) and Ocean Engineering (204 citations). Shunming Li has collaborated with scholars based in China, Singapore and United Kingdom. Frequent co-authors include Jinrui Wang, Xingxing Jiang, Zenghui An, Weiwei Qian, Yu Xin, Jiantao Lu, Chun Cheng, Yong Wang, Zongzhen Zhang and Kun Xu. Their work appears in journals such as Measurement Science and Technology, Applied Sciences, Measurement, IEEE Access 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.