Long-Ji Lin

8 papers and 1.1k indexed citations i.

About

Long-Ji Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Long-Ji Lin has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 1 paper in Aerospace Engineering. Recurrent topics in Long-Ji Lin’s work include Reinforcement Learning in Robotics (3 papers), Natural Language Processing Techniques (2 papers) and Evolutionary Algorithms and Applications (2 papers). Long-Ji Lin is often cited by papers focused on Reinforcement Learning in Robotics (3 papers), Natural Language Processing Techniques (2 papers) and Evolutionary Algorithms and Applications (2 papers). Long-Ji Lin collaborates with scholars based in United States, Taiwan and Pakistan. Long-Ji Lin's co-authors include Sun‐Yuan Kung, Shang‐Hung Lin, Steven D. Whitehead, Thomas R. Hancock, Lee‐Feng Chien and Lin-Shan Lee and has published in prestigious journals such as Artificial Intelligence, Machine Learning and Robotics and Autonomous Systems.

In The Last Decade

Co-authorship network of co-authors of Long-Ji Lin i

Fields of papers citing papers by Long-Ji Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Long-Ji Lin. 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 Long-Ji Lin. The network helps show where Long-Ji Lin may publish in the future.

Countries citing papers authored by Long-Ji Lin

Since Specialization
Citations

This map shows the geographic impact of Long-Ji Lin'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 Long-Ji Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long-Ji Lin 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