Winson Han

About

Winson Han is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Winson Han has authored 7 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Control and Systems Engineering. Recurrent topics in Winson Han’s work include Multimodal Machine Learning Applications (5 papers), Human Pose and Action Recognition (4 papers) and Reinforcement Learning in Robotics (3 papers). Winson Han is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Human Pose and Action Recognition (4 papers) and Reinforcement Learning in Robotics (3 papers). Winson Han collaborates with scholars based in United States. Winson Han's co-authors include Roozbeh Mottaghi, Yonatan Bisk, Luke Zettlemoyer, Daniel Gordon, Jesse Thomason, Mohit Shridhar, Dieter Fox, Aniruddha Kembhavi, Luca Weihs and Eric Kolve and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and International Conference on Learning Representations.

In The Last Decade

Co-authorship network of co-authors of Winson Han i

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Fields of papers citing papers by Winson Han

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Winson Han. 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 Winson Han. The network helps show where Winson Han may publish in the future.

Countries citing papers authored by Winson Han

Since Specialization

Citations

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