Feng‐Li Lian

72 papers and 1.1k indexed citations i.

About

Feng‐Li Lian is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Feng‐Li Lian has authored 72 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 19 papers in Aerospace Engineering and 19 papers in Control and Systems Engineering. Recurrent topics in Feng‐Li Lian’s work include Robotics and Sensor-Based Localization (16 papers), Robotic Path Planning Algorithms (14 papers) and Autonomous Vehicle Technology and Safety (8 papers). Feng‐Li Lian is often cited by papers focused on Robotics and Sensor-Based Localization (16 papers), Robotic Path Planning Algorithms (14 papers) and Autonomous Vehicle Technology and Safety (8 papers). Feng‐Li Lian collaborates with scholars based in Taiwan, United States and Italy. Feng‐Li Lian's co-authors include James Moyne, Dawn M. Tilbury, Li‐Chen Fu, Chao-Lin Wu, J.K. Yook, Chan‐Yun Yang, Jui-Jen Chou, Chieh‐Chih Wang, Yi-Chun Lin and Richard M. Murray and has published in prestigious journals such as IEEE Access, Medical Physics and Neurocomputing.

In The Last Decade

Co-authorship network of co-authors of Feng‐Li Lian i

Fields of papers citing papers by Feng‐Li Lian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Feng‐Li Lian. 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 Feng‐Li Lian. The network helps show where Feng‐Li Lian may publish in the future.

Countries citing papers authored by Feng‐Li Lian

Since Specialization
Citations

This map shows the geographic impact of Feng‐Li Lian'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 Feng‐Li Lian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Feng‐Li Lian 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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2025