Fangjun Qin
Impact in
- Aerospace Engineering top 1%
- Inertial Sensor and Navigation
- GNSS positioning and interference
- Robotics and Sensor-Based Localization
- Ocean Engineering top 2%
- Underwater Vehicles and Communication Systems
- Geophysics and Sensor Technology
Papers in
-
- Inertial Sensor and Navigation 65
- GNSS positioning and interference 21
- Oceanography 35
- Geophysics and Gravity Measurements 32
- Co-authors
- Lubin Chang (30 shared papers)An Li (19 shared papers)Baiqing Hu (14 shared papers)Hongyang He (7 shared papers)Jiangning Xu (10 shared papers)Feng Zha (7 shared papers)Kailong Li (14 shared papers)Meiping Wu (1 shared paper)
- Journals
- IEEE Sensors Journal (16 papers)Sensors (7 papers)IEEE Transactions on Instrumentation and Measurement (5 papers)Applied Sciences (4 papers)Measurement (3 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Fangjun Qin
81 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 59
- Aerospace Engineering 803
- Ocean Engineering 262
- Oceanography 193
- Artificial Intelligence 530
- Control and Systems Engineering 134
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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 148 | |
| 2 | 2013 | 69 | |
| 3 | 2021 | 69 | |
| 4 | 2016 | 67 | |
| 5 | 2017 | 60 | |
| 6 | 2021 | 55 | |
| 7 | 2017 | 51 | |
| 8 | 2014 | 43 | |
| 9 | 2018 | 42 | |
| 10 | 2019 | 38 | |
| 11 | 2022 | 31 | |
| 12 | 2023 | 26 | |
| 13 | 2013 | 24 | |
| 14 | 2022 | 22 | |
| 15 | 2022 | 21 | |
| 16 | 2021 | 21 | |
| 17 | 2022 | 18 | |
| 18 | 2010 | 16 | |
| 19 | 2023 | 16 | |
| 20 | 2024 | 15 |
About Fangjun Qin
Fangjun Qin is a scholar working on Aerospace Engineering, Oceanography, Ocean Engineering, Artificial Intelligence and Control and Systems Engineering, having authored 97 papers that have together received 1.1k indexed citations. Recurring topics across this work include Inertial Sensor and Navigation (65 papers), Geophysics and Gravity Measurements (32 papers), Target Tracking and Data Fusion in Sensor Networks (30 papers), GNSS positioning and interference (21 papers), Advanced Frequency and Time Standards (12 papers), Geophysics and Sensor Technology (11 papers), Indoor and Outdoor Localization Technologies (7 papers) and Underwater Vehicles and Communication Systems (7 papers). The work is most often cited by research in Aerospace Engineering (803 citations), Ocean Engineering (262 citations), Oceanography (193 citations), Artificial Intelligence (530 citations) and Control and Systems Engineering (134 citations). Fangjun Qin has collaborated with scholars based in China and United States. Frequent co-authors include Lubin Chang, An Li, Baiqing Hu, Hongyang He, Jiangning Xu, Feng Zha, Kailong Li, Meiping Wu, An Ran Li and Jie Fang. Their work appears in journals such as IEEE Sensors Journal, Sensors, IEEE Transactions on Instrumentation and Measurement, Applied Sciences and Measurement.
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.