Fangjun Qin
Impact in
- Aerospace Engineering top 1%
- Inertial Sensor and Navigation
- GNSS positioning and interference
- Robotics and Sensor-Based Localization
- Artificial Intelligence top 2%
- Target Tracking and Data Fusion in Sensor Networks
Papers in
-
- Inertial Sensor and Navigation 63
- GNSS positioning and interference 19
-
- Target Tracking and Data Fusion in Sensor Networks 31
- Co-authors
- Lubin Chang (28 shared papers)An Li (16 shared papers)Baiqing Hu (14 shared papers)Hongyang He (8 shared papers)Jiangning Xu (11 shared papers)Feng Zha (8 shared papers)Meiping Wu (1 shared paper)Kailong Li (11 shared papers)
- Journals
- IEEE Sensors Journal (15 papers)Sensors (7 papers)IEEE Transactions on Instrumentation and Measurement (3 papers)Applied Sciences (3 papers)Measurement Science and Technology (3 papers)
- Partner nations
- China
In The Last Decade
Fangjun Qin
71 papers receiving 984 citations
Peers
Comparison fields: 5 of 56
- Aerospace Engineering 758
- Artificial Intelligence 517
- Ocean Engineering 246
- Oceanography 179
- Control and Systems Engineering 115
Countries citing papers authored by Fangjun Qin
This map shows the geographic impact of Fangjun Qin'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 Fangjun Qin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangjun Qin more than expected).
Fields of papers citing papers by Fangjun Qin
This network shows the impact of papers produced by Fangjun Qin. 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 Fangjun Qin. The network helps show where Fangjun Qin may publish in the future.
Co-authors
The 25 scholars most cited alongside Fangjun Qin, 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 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 146 | |
| 2 | 2016 | 67 | |
| 3 | 2013 | 66 | |
| 4 | 2017 | 59 | |
| 5 | 2021 | 59 | |
| 6 | 2021 | 50 | |
| 7 | 2017 | 50 | |
| 8 | 2018 | 41 | |
| 9 | 2014 | 41 | |
| 10 | 2019 | 35 | |
| 11 | 2022 | 25 | |
| 12 | 2013 | 23 | |
| 13 | 2021 | 21 | |
| 14 | 2022 | 17 | |
| 15 | 2023 | 16 | |
| 16 | 2010 | 16 | |
| 17 | 2022 | 14 | |
| 18 | 2023 | 14 | |
| 19 | 2010 | 13 | |
| 20 | 2022 | 13 |
About Fangjun Qin
Fangjun Qin is a scholar working on Aerospace Engineering, Artificial Intelligence, Oceanography, Ocean Engineering and Control and Systems Engineering, having authored 85 papers that have together received 1.0k indexed citations. Recurring topics across this work include Inertial Sensor and Navigation (63 papers), Target Tracking and Data Fusion in Sensor Networks (31 papers), Geophysics and Gravity Measurements (29 papers), GNSS positioning and interference (19 papers), Geophysics and Sensor Technology (11 papers), Advanced Frequency and Time Standards (10 papers), Indoor and Outdoor Localization Technologies (6 papers) and Underwater Vehicles and Communication Systems (6 papers). The work is most often cited by research in Aerospace Engineering (758 citations), Artificial Intelligence (517 citations), Ocean Engineering (246 citations), Oceanography (179 citations) and Control and Systems Engineering (115 citations). Fangjun Qin has collaborated with scholars based in China. Frequent co-authors include Lubin Chang, An Li, Baiqing Hu, Hongyang He, Jiangning Xu, Feng Zha, Meiping Wu, Kailong Li, An Li and Li A. Their work appears in journals such as IEEE Sensors Journal, Sensors, IEEE Transactions on Instrumentation and Measurement, Applied Sciences and Measurement Science and Technology.
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.