Kim‐Han Thung

57 papers and 1.7k indexed citations i.

About

Kim‐Han Thung is a scholar working on Computer Vision and Pattern Recognition, Neurology and Artificial Intelligence. According to data from OpenAlex, Kim‐Han Thung has authored 57 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 17 papers in Neurology and 15 papers in Artificial Intelligence. Recurrent topics in Kim‐Han Thung’s work include Brain Tumor Detection and Classification (16 papers), Advanced Neuroimaging Techniques and Applications (10 papers) and Face and Expression Recognition (8 papers). Kim‐Han Thung is often cited by papers focused on Brain Tumor Detection and Classification (16 papers), Advanced Neuroimaging Techniques and Applications (10 papers) and Face and Expression Recognition (8 papers). Kim‐Han Thung collaborates with scholars based in United States, South Korea and China. Kim‐Han Thung's co-authors include Dinggang Shen, Pew‐Thian Yap, Chong‐Yaw Wee, Raveendran Paramesran, Xiaofeng Zhu, Mingxia Liu, Tao Zhou, Tao Zhou, Feng Shi and Ehsan Adeli and has published in prestigious journals such as Nature Communications, PLoS ONE and NeuroImage.

In The Last Decade

Co-authorship network of co-authors of Kim‐Han Thung i

Fields of papers citing papers by Kim‐Han Thung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Kim‐Han Thung

Since Specialization
Citations

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