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
-
- GNSS positioning and interference 79
- Inertial Sensor and Navigation 36
- Robotics and Sensor-Based Localization 13
- Oceanography 51
- Geophysics and Gravity Measurements 51
- Co-authors
- Wang Gao (69 shared papers)Chengfa Gao (27 shared papers)Xiaolin Meng (18 shared papers)Yan Xia (10 shared papers)Qing Lin Zhao (23 shared papers)Tao Zhao (6 shared papers)Liwei Liu (11 shared papers)Baoguo Yu (12 shared papers)
- Journals
- Remote Sensing (19 papers)Measurement (10 papers)Advances in Space Research (6 papers)Journal of Navigation (6 papers)Sensors (5 papers)
- Partner nations
- ChinaUnited KingdomBangladesh
In The Last Decade
Shuguo Pan
109 papers receiving 875 citations
Peers
Comparison fields: 5 of 72
- Aerospace Engineering 682
- Oceanography 325
- Astronomy and Astrophysics 200
- Computer Vision and Pattern Recognition 114
- Geology 29
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-authors
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
Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 53 | |
| 2 | 2015 | 47 | |
| 3 | 2017 | 41 | |
| 4 | 2017 | 40 | |
| 5 | 2015 | 34 | |
| 6 | 2020 | 33 | |
| 7 | 2019 | 30 | |
| 8 | 2020 | 29 | |
| 9 | 2023 | 27 | |
| 10 | 2019 | 26 | |
| 11 | 2022 | 25 | |
| 12 | 2020 | 25 | |
| 13 | 2019 | 22 | |
| 14 | 2020 | 20 | |
| 15 | 2022 | 20 | |
| 16 | 2014 | 18 | |
| 17 | 2022 | 17 | |
| 18 | 2018 | 17 | |
| 19 | 2017 | 16 | |
| 20 | 2021 | 15 |
About Shuguo Pan
Shuguo Pan is a scholar working on Aerospace Engineering, Oceanography, Astronomy and Astrophysics, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 130 papers that have together received 897 indexed citations. Recurring topics across this work include GNSS positioning and interference (79 papers), Geophysics and Gravity Measurements (51 papers), Inertial Sensor and Navigation (36 papers), Ionosphere and magnetosphere dynamics (31 papers), Indoor and Outdoor Localization Technologies (22 papers), Target Tracking and Data Fusion in Sensor Networks (15 papers), Robotics and Sensor-Based Localization (13 papers) and Advanced Vision and Imaging (13 papers). The work is most often cited by research in Aerospace Engineering (682 citations), Oceanography (325 citations), Astronomy and Astrophysics (200 citations), Computer Vision and Pattern Recognition (114 citations) and Geology (29 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 Lin Zhao, Tao Zhao, Liwei Liu, Baoguo Yu, Hao Wang and Jiadong Deng. Their work appears in journals such as Remote Sensing, Measurement, Advances in Space Research, Journal of Navigation and Sensors.
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.