Ke-Kun Huang

41 total papers · 811 total citations
33 papers, 616 citations indexed

About

Ke-Kun Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Ke-Kun Huang has authored 33 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Media Technology. Recurrent topics in Ke-Kun Huang's work include Face and Expression Recognition (12 papers), Face recognition and analysis (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Ke-Kun Huang is often cited by papers focused on Face and Expression Recognition (12 papers), Face recognition and analysis (8 papers) and Domain Adaptation and Few-Shot Learning (6 papers). Ke-Kun Huang collaborates with scholars based in China, Macao and United States. Ke-Kun Huang's co-authors include Chuan-Xian Ren, Dao‐Qing Dai, Zhao‐Rong Lai, Yu‐Feng Yu, Yonghui Liu, You-Wei Luo, Xiong Yong, Pengfei Ge, Mingyong Zhu and Jieli Duan and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Image Processing and Pattern Recognition.

In The Last Decade

Ke-Kun Huang

32 papers receiving 603 citations

Author Peers

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

Author Last Decade Papers Cites
Ke-Kun Huang 392 169 132 93 46 33 616
Stéphane Derrode 305 0.8× 201 1.2× 170 1.3× 78 0.8× 13 0.3× 42 663
Kie B. Eom 278 0.7× 122 0.7× 222 1.7× 60 0.6× 13 0.3× 39 603
Victor-Emil Neagoe 198 0.5× 170 1.0× 141 1.1× 50 0.5× 33 0.7× 71 530
Xiaosheng Zhuang 370 0.9× 202 1.2× 76 0.6× 102 1.1× 20 0.4× 47 630
Ayed R. A. Alanzi 139 0.4× 67 0.4× 76 0.6× 47 0.5× 14 0.3× 31 498
Byungsoo Kim 287 0.7× 58 0.3× 50 0.4× 33 0.4× 10 0.2× 49 650
Sanjiv Kumar 315 0.8× 264 1.6× 85 0.6× 34 0.4× 8 0.2× 21 587
Tilo Strutz 199 0.5× 76 0.4× 26 0.2× 97 1.0× 15 0.3× 45 543
Jun Xiao 436 1.1× 139 0.8× 101 0.8× 34 0.4× 32 0.7× 75 641
Prudhvi Gurram 172 0.4× 230 1.4× 173 1.3× 38 0.4× 10 0.2× 48 667

Countries citing papers authored by Ke-Kun Huang

Since Specialization
Citations

This map shows the geographic impact of Ke-Kun Huang'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 Ke-Kun Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke-Kun Huang more than expected).

Fields of papers citing papers by Ke-Kun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ke-Kun Huang. 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 Ke-Kun Huang. The network helps show where Ke-Kun Huang may publish in the future.

Co-authorship network of co-authors of Ke-Kun Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Ke-Kun Huang. A scholar is included among the top collaborators of Ke-Kun Huang 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 Ke-Kun Huang. Ke-Kun Huang 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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