Yen-Chen Lin

About

Yen-Chen Lin is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Control and Systems Engineering. According to data from OpenAlex, Yen-Chen Lin has authored 7 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Vision and Pattern Recognition, 3 papers in Aerospace Engineering and 3 papers in Control and Systems Engineering. Recurrent topics in Yen-Chen Lin’s work include Robotics and Sensor-Based Localization (3 papers), Video Analysis and Summarization (2 papers) and Multimodal Machine Learning Applications (2 papers). Yen-Chen Lin is often cited by papers focused on Robotics and Sensor-Based Localization (3 papers), Video Analysis and Summarization (2 papers) and Multimodal Machine Learning Applications (2 papers). Yen-Chen Lin collaborates with scholars based in United States, Taiwan and United Kingdom. Yen-Chen Lin's co-authors include Phillip Isola, Tsung-Yi Lin, Pete Florence, Jonathan T. Barron, Alberto Rodríguez, Alberto Rodríguez, Ersin Yumer, Shuran Song, Mengye Ren and Raquel Urtasun and has published in prestigious journals such as IEEE Transactions on Image Processing, arXiv (Cornell University) and 2022 International Conference on Robotics and Automation (ICRA).

In The Last Decade

Co-authorship network of co-authors of Yen-Chen Lin i

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Fields of papers citing papers by Yen-Chen Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Yen-Chen Lin

Since Specialization

Citations

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