Kim‐Han Thung

106 total papers · 3.0k total citations
57 papers, 1.9k citations indexed

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 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 17 papers in Neurology and 16 papers in Artificial Intelligence. Recurrent topics in Kim‐Han Thung's work include Brain Tumor Detection and Classification (16 papers), Face and Expression Recognition (9 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Kim‐Han Thung is often cited by papers focused on Brain Tumor Detection and Classification (16 papers), Face and Expression Recognition (9 papers) and Advanced Neuroimaging Techniques and Applications (9 papers). Kim‐Han Thung collaborates with scholars based in United States, South Korea and China. Kim‐Han Thung's co-authors include Dinggang Shen, Chong‐Yaw Wee, Raveendran Paramesran, Pew‐Thian Yap, Xiaofeng Zhu, Tao Zhou, Mingxia Liu, Tao Zhou, Feng Shi and Ehsan Adeli and has published in prestigious journals such as Nature Communications, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Kim‐Han Thung

54 papers receiving 1.9k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Kim‐Han Thung	593	549	406	348	344	57	1.9k
I. Álvarez	515 0.9×	749 1.4×	720 1.8×	429 1.2×	424 1.2×	76	2.2k
Heikki Huttunen	530 0.9×	589 1.1×	239 0.6×	217 0.6×	289 0.8×	90	2.2k
Vikas Singh	541 0.9×	989 1.8×	269 0.7×	319 0.9×	384 1.1×	118	2.5k
Carlos G. Puntonet	475 0.8×	529 1.0×	324 0.8×	369 1.1×	199 0.6×	109	2.1k
Mingxia Liu	437 0.7×	349 0.6×	448 1.1×	255 0.7×	248 0.7×	45	1.6k
F. Segovia	460 0.8×	621 1.1×	669 1.6×	461 1.3×	434 1.3×	82	2.0k
D. Salas-González	653 1.1×	980 1.8×	872 2.1×	398 1.1×	424 1.2×	92	2.5k
Liang Sun	667 1.1×	555 1.0×	245 0.6×	330 0.9×	125 0.4×	89	1.8k
Sidong Liu	675 1.1×	616 1.1×	596 1.5×	233 0.7×	312 0.9×	129	2.7k
M. López	386 0.7×	562 1.0×	592 1.5×	366 1.1×	333 1.0×	42	1.7k

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).

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.

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

This figure shows the co-authorship network connecting the top 25 collaborators of Kim‐Han Thung. A scholar is included among the top collaborators of Kim‐Han Thung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kim‐Han Thung. Kim‐Han Thung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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