Shuguo Pan
Impact in
- Aerospace Engineering top 2%
- GNSS positioning and interference
- Inertial Sensor and Navigation
- Robotics and Sensor-Based Localization
- Oceanography top 5%
- Geophysics and Gravity Measurements
Papers in
- Oceanography 36
- Geophysics and Gravity Measurements 36
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- GNSS positioning and interference 60
- Inertial Sensor and Navigation 26
- Robotics and Sensor-Based Localization 9
Shuguo Pan
82 papers receiving 713 citations
Peers
Comparison fields: 5 of 71
- Aerospace Engineering 581
- Oceanography 277
- Astronomy and Astrophysics 182
- Geology 29
- Computer Vision and Pattern Recognition 102
Countries citing papers authored by Shuguo Pan
This map shows the geographic impact of Shuguo Pan'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 Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuguo Pan more than expected).
Fields of papers citing papers by Shuguo Pan
This network shows the impact of papers produced by Shuguo Pan. 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 Pan. The network helps show where Shuguo Pan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shuguo Pan, 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 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 1 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 4 | |
| 8 | 2024 | 1 | |
| 9 | 2024 | 3 | |
| 10 | 2024 | 0 | |
| 11 | 2023 | 2 | |
| 12 | 2023 | 4 | |
| 13 | 2023 | 5 | |
| 14 | 2022 | 5 | |
| 15 | 2022 | 1 | |
| 16 | 2019 | 13 | |
| 17 | 2015 | 12 | |
| 18 | Algorithm for Network RTK(VRS) Based on Star Structure | 2012 | 4 |
| 19 | Method for Integer Ambiguity Resolution in GPS Network RTK | 2009 | 2 |
| 20 | An Improved Parallel Code Phase Search Acquisition Algorithm Based on Bit Quantification for GPS Signals | 2009 | 1 |
About Shuguo Pan
Shuguo Pan is a scholar working on Oceanography, Aerospace Engineering, Astronomy and Astrophysics, Media Technology and Computer Vision and Pattern Recognition, having authored 97 papers that have together received 745 indexed citations. Recurring topics across this work include GNSS positioning and interference (60 papers), Geophysics and Gravity Measurements (36 papers), Inertial Sensor and Navigation (26 papers), Ionosphere and magnetosphere dynamics (24 papers), Indoor and Outdoor Localization Technologies (20 papers), Target Tracking and Data Fusion in Sensor Networks (12 papers), Advanced Vision and Imaging (11 papers) and Robotics and Sensor-Based Localization (9 papers). The work is most often cited by research in Aerospace Engineering (581 citations), Oceanography (277 citations), Astronomy and Astrophysics (182 citations), Geology (29 citations) and Computer Vision and Pattern Recognition (102 citations). Shuguo Pan has collaborated with scholars based in China, United Kingdom and Bangladesh. Frequent co-authors include Wang Gao, Chengfa Gao, Xiaolin Meng, Yan Xia, Qing Zhao, Tao Zhao, Yingchun Sun, Liwei Liu, Qusen Chen and Jiadong Deng. Their work appears in journals such as Remote Sensing, Measurement, Journal of Navigation, Sensors and Advances in Space Research.
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.