Chaoge Wang
Impact in
-
- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Advanced Algorithms and Applications
- Mechanical Engineering top 10%
- Gear and Bearing Dynamics Analysis
- Advanced machining processes and optimization
- Tribology and Lubrication Engineering
Papers in
-
- Machine Fault Diagnosis Techniques 35
- Fault Detection and Control Systems 10
- Advanced Algorithms and Applications 3
-
- Gear and Bearing Dynamics Analysis 16
- Tribology and Lubrication Engineering 3
- Non-Destructive Testing Techniques 3
- Co-authors
- Hongkun Li (20 shared papers)Kongliang Zhang (3 shared papers)Bin Sun (2 shared papers)Jiayu Ou (5 shared papers)Changbo He (3 shared papers)Rui Yang (3 shared papers)Funa Zhou (17 shared papers)Zhixiong Li (1 shared paper)
In The Last Decade
Chaoge Wang
43 papers receiving 365 citations
Peers
Comparison fields: 5 of 49
- Control and Systems Engineering 279
- Mechanical Engineering 197
- Mechanics of Materials 76
- Statistics, Probability and Uncertainty 17
- Industrial and Manufacturing Engineering 16
Countries citing papers authored by Chaoge Wang
This map shows the geographic impact of Chaoge Wang'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 Chaoge Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaoge Wang more than expected).
Fields of papers citing papers by Chaoge Wang
This network shows the impact of papers produced by Chaoge Wang. 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 Chaoge Wang. The network helps show where Chaoge Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaoge Wang, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 77 | |
| 2 | 2020 | 50 | |
| 3 | 2019 | 47 | |
| 4 | 2021 | 27 | |
| 5 | 2022 | 16 | |
| 6 | 2023 | 12 | |
| 7 | 2022 | 11 | |
| 8 | 2023 | 10 | |
| 9 | 2022 | 10 | |
| 10 | 2022 | 9 | |
| 11 | 2018 | 8 | |
| 12 | 2023 | 8 | |
| 13 | 2023 | 7 | |
| 14 | 2024 | 7 | |
| 15 | 2025 | 6 | |
| 16 | 2018 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2019 | 4 |
About Chaoge Wang
Chaoge Wang is a scholar working on Control and Systems Engineering, Mechanical Engineering, Mechanics of Materials, Artificial Intelligence and Electrical and Electronic Engineering, having authored 51 papers that have together received 372 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (35 papers), Gear and Bearing Dynamics Analysis (16 papers), Engineering Diagnostics and Reliability (11 papers), Fault Detection and Control Systems (10 papers), Imbalanced Data Classification Techniques (5 papers), Tribology and Lubrication Engineering (3 papers), Advanced Algorithms and Applications (3 papers) and Non-Destructive Testing Techniques (3 papers). The work is most often cited by research in Control and Systems Engineering (279 citations), Mechanical Engineering (197 citations), Mechanics of Materials (76 citations), Statistics, Probability and Uncertainty (17 citations) and Industrial and Manufacturing Engineering (16 citations). Chaoge Wang has collaborated with scholars based in China, Australia and Italy. Frequent co-authors include Hongkun Li, Kongliang Zhang, Bin Sun, Jiayu Ou, Changbo He, Rui Yang, Funa Zhou, Zhixiong Li, Pei Niu and Tianzhen Wang. Their work appears in journals such as Measurement Science and Technology, Measurement, IEEE Sensors Journal, Mechanical Systems and Signal Processing and Medicine & Science in Sports & Exercise.
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.