John See

80 papers and 1.7k indexed citations i.

About

John See is a scholar working on Computer Vision and Pattern Recognition, Experimental and Cognitive Psychology and Artificial Intelligence. According to data from OpenAlex, John See has authored 80 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 68 papers in Computer Vision and Pattern Recognition, 19 papers in Experimental and Cognitive Psychology and 18 papers in Artificial Intelligence. Recurrent topics in John See’s work include Emotion and Mood Recognition (18 papers), Human Pose and Action Recognition (18 papers) and Face and Expression Recognition (15 papers). John See is often cited by papers focused on Emotion and Mood Recognition (18 papers), Human Pose and Action Recognition (18 papers) and Face and Expression Recognition (15 papers). John See collaborates with scholars based in Malaysia, China and Taiwan. John See's co-authors include Raphaël C.‐W. Phan, Weiyao Lin, Sze‐Teng Liong, KokSheik Wong, Yandan Wang, Huai-Qian Khor, Anh Cat Le Ngo, Jing Li, Wenbin Liu and Vishnu Monn Baskaran and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of John See i

Fields of papers citing papers by John See

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by John See

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025