Gui Gui
Impact in
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- Machine Fault Diagnosis Techniques
- Fault Detection and Control Systems
- Mechanics of Materials top 10%
- Engineering Diagnostics and Reliability
Papers in
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- Machine Fault Diagnosis Techniques 7
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- Anomaly Detection Techniques and Applications 2
- Natural Language Processing Techniques 1
- Co-authors
- Yong Yao (7 shared papers)Suixian Yang (6 shared papers)Sen Zhang (5 shared papers)Honglei Wang (1 shared paper)Zhonghao Liu (1 shared paper)Jianjun Hu (1 shared paper)Shaobo Li (1 shared paper)Haoyang Yu (1 shared paper)
- Journals
- Engineering Applications of Artificial Intelligence (2 papers)Applied Sciences (1 paper)International Journal of Structural Stability and Dynamics (1 paper)Measurement (1 paper)Information Fusion (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Gui Gui
11 papers receiving 315 citations
Peers
Comparison fields: 5 of 46
- Control and Systems Engineering 235
- Mechanics of Materials 94
- Mechanical Engineering 137
- Media Technology 23
- Industrial and Manufacturing Engineering 19
Countries citing papers authored by Gui Gui
This map shows the geographic impact of Gui Gui'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 Gui Gui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gui Gui more than expected).
Fields of papers citing papers by Gui Gui
This network shows the impact of papers produced by Gui Gui. 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 Gui Gui. The network helps show where Gui Gui may publish in the future.
Co-authors
The 18 scholars most cited alongside Gui Gui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 96 | |
| 2 | 2020 | 86 | |
| 3 | 2024 | 33 | |
| 4 | 2021 | 30 | |
| 5 | 2021 | 22 | |
| 6 | 2023 | 21 | |
| 7 | 2024 | 18 | |
| 8 | 2022 | 13 | |
| 9 | 2025 | 2 | |
| 10 | 2024 | 1 | |
| 11 | 2014 | 1 |
About Gui Gui
Gui Gui is a scholar working on Control and Systems Engineering, Artificial Intelligence, Mechanical Engineering, Civil and Structural Engineering and Mechanics of Materials, having authored 11 papers that have together received 323 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (7 papers), Gear and Bearing Dynamics Analysis (4 papers), Structural Health Monitoring Techniques (3 papers), Non-Destructive Testing Techniques (2 papers), Ultrasonics and Acoustic Wave Propagation (2 papers), Anomaly Detection Techniques and Applications (2 papers), Natural Language Processing Techniques (1 paper) and Remote-Sensing Image Classification (1 paper). The work is most often cited by research in Control and Systems Engineering (235 citations), Mechanics of Materials (94 citations), Mechanical Engineering (137 citations), Media Technology (23 citations) and Industrial and Manufacturing Engineering (19 citations). Gui Gui has collaborated with scholars based in China and United States. Frequent co-authors include Yong Yao, Suixian Yang, Sen Zhang, Honglei Wang, Zhonghao Liu, Jianjun Hu, Shaobo Li, Haoyang Yu, Zhaohui Jiang and Dong Pan. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Applied Sciences, International Journal of Structural Stability and Dynamics, Measurement and Information Fusion.
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.