Songlai Han
- Aerospace Engineering top 2%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Ocean Engineering top 5%
- Oceanography top 10%
- Topics
- Inertial Sensor and Navigation (17 papers)Target Tracking and Data Fusion in Sensor Networks (10 papers)GNSS positioning and interference (8 papers)
In The Last Decade
Songlai Han
22 papers receiving 535 citations
Peers
Comparison fields: 5 of 47
- Aerospace Engineering 499
- Artificial Intelligence 222
- Electrical and Electronic Engineering 181
- Ocean Engineering 110
- Oceanography 69
Countries citing papers authored by Songlai Han
This map shows the geographic impact of Songlai Han'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 Songlai Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songlai Han more than expected).
Fields of papers citing papers by Songlai Han
This network shows the impact of papers produced by Songlai Han. 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 Songlai Han. The network helps show where Songlai Han may publish in the future.
Co-authorship network of co-authors of Songlai Han
This figure shows the co-authorship network connecting the top 25 collaborators of Songlai Han. A scholar is included among the top collaborators of Songlai Han based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Songlai Han. Songlai Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 4 | |
| 4 | 5 | |
| 5 | 11 | |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 9 | |
| 10 | 15 | |
| 11 | 8 | |
| 12 | 84 | |
| 13 | 0 | |
| 14 | 102 | |
| 15 | 80 | |
| 16 | 58 | |
| 17 | 53 | |
| 18 | 47 | |
| 19 | USING ALLAN VARIANCE TO DETERMINE THE CALIBRATION MODEL OF INERTIAL SENSORS FOR GPS/INS INTEGRATION | 16 |
| 20 | 9 |
About Songlai Han
Songlai Han is a scholar working on Aerospace Engineering, Oceanography and Artificial Intelligence, having authored 23 papers that have together received 561 indexed citations. Recurring topics across this work include Inertial Sensor and Navigation (17 papers), Target Tracking and Data Fusion in Sensor Networks (10 papers) and GNSS positioning and interference (8 papers). The work is most often cited by research in Aerospace Engineering (499 citations), Ocean Engineering (110 citations) and Artificial Intelligence (222 citations). Songlai Han has collaborated with scholars based in China and Australia. Frequent co-authors include Jinling Wang, Dan Liao, Jiazhen Lu, Jing Dong, Li Zhang, Nathan L. Knight, Ang Su, Shilin Luo, Guochen Wang and Wen Zhang. Their work appears in journals such as IEEE Transactions on Vehicular Technology, IEEE Transactions on Circuits and Systems for Video Technology and Sensors and Actuators A Physical.
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.