Shuguo Wang
Impact in
- Catalysis top 5%
- Catalysts for Methane Reforming
- General Engineering top 5%
Papers in
-
- Soft Robotics and Applications 45
-
- Railway Engineering and Dynamics 31
- Co-authors
- Zehui Zhang (8 shared papers)Jinlin Li (7 shared papers)Yili Fu (47 shared papers)Bing Liu (4 shared papers)Bing Liu (1 shared paper)Fuhai Zhang (17 shared papers)Yuhua Zhang (3 shared papers)Kangkang Wang (1 shared paper)
- Journals
- Vehicle System Dynamics (5 papers)Engineering Failure Analysis (5 papers)Applied Sciences (5 papers)Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit (4 papers)Robotica (4 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Shuguo Wang
166 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 131
- Catalysis 295
- General Engineering 36
- Biomedical Engineering 1.2k
- Mechanical Engineering 747
- Rehabilitation 118
Countries citing papers authored by Shuguo Wang
This map shows the geographic impact of Shuguo 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 Shuguo Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuguo Wang more than expected).
Fields of papers citing papers by Shuguo Wang
This network shows the impact of papers produced by Shuguo 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 Shuguo Wang. The network helps show where Shuguo Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuguo 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 170 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 228 | |
| 2 | 2014 | 201 | |
| 3 | 2013 | 191 | |
| 4 | 2017 | 132 | |
| 5 | 2009 | 122 | |
| 6 | 2005 | 114 | |
| 7 | 2001 | 81 | |
| 8 | 2005 | 80 | |
| 9 | 2014 | 79 | |
| 10 | 2011 | 74 | |
| 11 | 2014 | 72 | |
| 12 | 2013 | 72 | |
| 13 | 2013 | 55 | |
| 14 | 2001 | 55 | |
| 15 | 2008 | 54 | |
| 16 | 2018 | 50 | |
| 17 | 2014 | 50 | |
| 18 | 2016 | 44 | |
| 19 | 2020 | 41 | |
| 20 | 2019 | 39 |
About Shuguo Wang
Shuguo Wang is a scholar working on Biomedical Engineering, Mechanical Engineering, Control and Systems Engineering, Materials Chemistry and Computer Vision and Pattern Recognition, having authored 170 papers that have together received 3.0k indexed citations. Recurring topics across this work include Soft Robotics and Applications (45 papers), Railway Engineering and Dynamics (31 papers), Robot Manipulation and Learning (20 papers), Robotic Mechanisms and Dynamics (17 papers), Mechanical stress and fatigue analysis (15 papers), Neural Networks Stability and Synchronization (15 papers), Nonlinear Dynamics and Pattern Formation (15 papers) and Space Satellite Systems and Control (11 papers). The work is most often cited by research in Catalysis (295 citations), General Engineering (36 citations), Biomedical Engineering (1.2k citations), Mechanical Engineering (747 citations) and Rehabilitation (118 citations). Shuguo Wang has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Zehui Zhang, Jinlin Li, Yili Fu, Bing Liu, Bing Liu, Fuhai Zhang, Yuhua Zhang, Kangkang Wang, Song Zheng and Cong Dai. Their work appears in journals such as Vehicle System Dynamics, Engineering Failure Analysis, Applied Sciences, Proceedings of the Institution of Mechanical Engineers Part F Journal of Rail and Rapid Transit and Robotica.
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.