Bin Gu
Impact in
- Condensed Matter Physics top 10%
- Superconductivity in MgB2 and Alloys
- Physics of Superconductivity and Magnetism
- Building and Construction top 5%
- Building Energy and Comfort Optimization
Papers in
-
- Inertial Sensor and Navigation 8
- Robotics and Sensor-Based Localization 4
- Co-authors
- Hua Han (2 shared papers)Tianle Wang (1 shared paper)Jia Kang (1 shared paper)Shijie Jia (2 shared papers)Yonggang Zhao (2 shared papers)X.P. Zhang (2 shared papers)M.H. Zhu (2 shared papers)Zhonghe Han (2 shared papers)
In The Last Decade
Bin Gu
30 papers receiving 542 citations
Peers
Comparison fields: 5 of 66
- Condensed Matter Physics 117
- Building and Construction 134
- Control and Systems Engineering 128
- Biomaterials 49
- Industrial and Manufacturing Engineering 35
Countries citing papers authored by Bin Gu
This map shows the geographic impact of Bin Gu'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 Bin Gu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bin Gu more than expected).
Fields of papers citing papers by Bin Gu
This network shows the impact of papers produced by Bin Gu. 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 Bin Gu. The network helps show where Bin Gu may publish in the future.
Co-authors
The 25 scholars most cited alongside Bin Gu, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 114 | |
| 2 | 2010 | 105 | |
| 3 | 2001 | 78 | |
| 4 | 2013 | 40 | |
| 5 | 2001 | 40 | |
| 6 | 2011 | 26 | |
| 7 | 2018 | 15 | |
| 8 | 2018 | 12 | |
| 9 | 2018 | 11 | |
| 10 | 2024 | 9 | |
| 11 | 2020 | 9 | |
| 12 | 2014 | 9 | |
| 13 | 2019 | 9 | |
| 14 | 2007 | 8 | |
| 15 | 2018 | 7 | |
| 16 | 2008 | 7 | |
| 17 | 2020 | 7 | |
| 18 | 2025 | 6 | |
| 19 | 2003 | 6 | |
| 20 | 2024 | 5 |
About Bin Gu
Bin Gu is a scholar working on Aerospace Engineering, Control and Systems Engineering, Mechanical Engineering, Artificial Intelligence and Civil and Structural Engineering, having authored 31 papers that have together received 550 indexed citations. Recurring topics across this work include Inertial Sensor and Navigation (8 papers), Target Tracking and Data Fusion in Sensor Networks (4 papers), Robotics and Sensor-Based Localization (4 papers), Fluid Dynamics and Heat Transfer (3 papers), Adhesion, Friction, and Surface Interactions (3 papers), Optical Systems and Laser Technology (2 papers), Cyclone Separators and Fluid Dynamics (2 papers) and Tribology and Lubrication Engineering (2 papers). The work is most often cited by research in Condensed Matter Physics (117 citations), Building and Construction (134 citations), Control and Systems Engineering (128 citations), Biomaterials (49 citations) and Industrial and Manufacturing Engineering (35 citations). Bin Gu has collaborated with scholars based in China, Singapore and Canada. Frequent co-authors include Hua Han, Tianle Wang, Jia Kang, Shijie Jia, Yonggang Zhao, X.P. Zhang, M.H. Zhu, Zhonghe Han, Zhen Tian and Lin Yang. Their work appears in journals such as Applied Thermal Engineering, Physica C Superconductivity, IEEE Sensors Journal, Journal of Propulsion and Power and Science China Information Sciences.
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.