Kailai Li
Impact in
- Aerospace Engineering top 10%
- Robotics and Sensor-Based Localization
- Inertial Sensor and Navigation
- Artificial Intelligence top 10%
- Target Tracking and Data Fusion in Sensor Networks
- Bayesian Methods and Mixture Models
Papers in
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- Target Tracking and Data Fusion in Sensor Networks 17
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- Robotics and Sensor-Based Localization 12
- Inertial Sensor and Navigation 11
- Co-authors
- Uwe D. Hanebeck (30 shared papers)Florian Pfaff (18 shared papers)Benjamin Noack (4 shared papers)Siqi Ma (1 shared paper)Juanru Li (1 shared paper)Dawu Gu (1 shared paper)Surya Nepal (1 shared paper)Stefan Pischinger (1 shared paper)
In The Last Decade
Kailai Li
37 papers receiving 340 citations
Peers
Comparison fields: 5 of 63
- Aerospace Engineering 130
- Artificial Intelligence 160
- Signal Processing 47
- Computer Vision and Pattern Recognition 65
- Automotive Engineering 35
Countries citing papers authored by Kailai Li
This map shows the geographic impact of Kailai Li'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 Kailai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kailai Li more than expected).
Fields of papers citing papers by Kailai Li
This network shows the impact of papers produced by Kailai Li. 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 Kailai Li. The network helps show where Kailai Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Kailai Li, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 55 | |
| 2 | 2018 | 37 | |
| 3 | 2019 | 30 | |
| 4 | 2019 | 16 | |
| 5 | 2020 | 16 | |
| 6 | 2021 | 15 | |
| 7 | 2019 | 15 | |
| 8 | 2018 | 13 | |
| 9 | 2018 | 13 | |
| 10 | 2019 | 12 | |
| 11 | 2019 | 12 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2019 | 10 | |
| 15 | 2018 | 10 | |
| 16 | 2023 | 9 | |
| 17 | 2020 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2020 | 6 | |
| 20 | 2024 | 5 |
About Kailai Li
Kailai Li is a scholar working on Artificial Intelligence, Aerospace Engineering, Computer Vision and Pattern Recognition, Civil and Structural Engineering and Molecular Biology, having authored 47 papers that have together received 351 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (17 papers), Robotics and Sensor-Based Localization (12 papers), Inertial Sensor and Navigation (11 papers), Advanced Vision and Imaging (7 papers), Optical measurement and interference techniques (5 papers), Structural Health Monitoring Techniques (5 papers), Indoor and Outdoor Localization Technologies (4 papers) and Underwater Acoustics Research (3 papers). The work is most often cited by research in Aerospace Engineering (130 citations), Artificial Intelligence (160 citations), Signal Processing (47 citations), Computer Vision and Pattern Recognition (65 citations) and Automotive Engineering (35 citations). Kailai Li has collaborated with scholars based in Germany, China and Hong Kong. Frequent co-authors include Uwe D. Hanebeck, Florian Pfaff, Benjamin Noack, Siqi Ma, Juanru Li, Dawu Gu, Surya Nepal, Stefan Pischinger, Gerhard Kurz and Lukas Bernreiter. Their work appears in journals such as Sensors, IEEE Robotics and Automation Letters, IEEE Transactions on Intelligent Transportation Systems, Frontiers in Immunology and Current Gene Therapy.
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.