Kailai Li

26 papers and 117 indexed citations
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About

Kailai Li is a scholar working on Artificial Intelligence, Aerospace Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Kailai Li has authored 26 papers receiving a total of 117 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Aerospace Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Kailai Li’s work include Target Tracking and Data Fusion in Sensor Networks (10 papers), Inertial Sensor and Navigation (6 papers) and Robotics and Sensor-Based Localization (6 papers). Kailai Li is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (10 papers), Inertial Sensor and Navigation (6 papers) and Robotics and Sensor-Based Localization (6 papers). Kailai Li collaborates with scholars based in Germany, China and Hong Kong. Kailai Li's co-authors include Uwe D. Hanebeck, Florian Pfaff, Marco Günther, Stefan Pischinger, René Savelsberg, Yuehui Yin, Peng Luo, Anqi Lin, Hongyu Kuang and Jian Zhang and has published in prestigious journals such as Gastroenterology, Frontiers in Immunology and Sensors.

In The Last Decade

Co-authorship network of co-authors of Kailai Li

This figure shows the co-authorship network connecting the top 25 collaborators of Kailai Li. A scholar is included among the top collaborators of Kailai Li 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 Kailai Li. Kailai Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Kailai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Kailai Li

Since Specialization
Citations

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).

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.

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2026