Kai-Hsuan Chan

515 citations
11 papers · 345 indexed · h-index 3
Topics
Music and Audio Processing (2 papers)Advanced Vision and Imaging (2 papers)Optical measurement and interference techniques (2 papers)

In The Last Decade

Kai-Hsuan Chan

11 papers receiving 319 citations

Peers

Kai-Hsuan Chan
Comparison fields: 5 of 64
  • Experimental and Cognitive Psychology 188
  • Signal Processing 137
  • Artificial Intelligence 112
  • Computer Vision and Pattern Recognition 80
  • Molecular Biology 59
Replace Jennifer J. Venditti with:
Jennifer J. Venditti United States
Verónica Reyes‐Meza Mexico
Julian Hough United Kingdom
Taffeta M. Elliott United States
Clément Moulin-Frier France
Dwight Krehbiel United States
Melissa R. Shyan United States
Thomas R. Sawallis France
Christian Bergler Germany
Jennifer M. Fellowes United States
Kai-Hsuan Chan relative to Jennifer J. Venditti United States Jennifer J. Venditti's profile →
Citations per field
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Jennifer J. Venditti · 1×
Citations per year

Countries citing papers authored by Kai-Hsuan Chan

Since Specialization
Citations

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

Fields of papers citing papers by Kai-Hsuan Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai-Hsuan Chan. 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 Kai-Hsuan Chan. The network helps show where Kai-Hsuan Chan may publish in the future.

Co-authorship network of co-authors of Kai-Hsuan Chan

This figure shows the co-authorship network connecting the top 25 collaborators of Kai-Hsuan Chan. A scholar is included among the top collaborators of Kai-Hsuan Chan 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 Kai-Hsuan Chan. Kai-Hsuan Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

11 of 11 papers shown
#WorkIndexed citations
1 1
2 89
3 4
4 2
5 1
6 1
7
An open framework for video content analysis
1
8 1
9 2
10 2
11
EMOTION RECOGNITION BY SPEECH SIGNAL
241

About Kai-Hsuan Chan

Kai-Hsuan Chan is a scholar working on Transplantation, Signal Processing and Computer Vision and Pattern Recognition, having authored 11 papers that have together received 345 indexed citations. Recurring topics across this work include Music and Audio Processing (2 papers), Advanced Vision and Imaging (2 papers) and Optical measurement and interference techniques (2 papers). The work is most often cited by research in Experimental and Cognitive Psychology (188 citations), Signal Processing (137 citations) and Pharmacy (36 citations). Kai-Hsuan Chan has collaborated with scholars based in Taiwan, Hong Kong and United States. Frequent co-authors include Jie Hao, Oh‐Wook Kwon, Ignacio Maeso, Ting‐Fung Chan, Hoi Shan Kwan, Nathan J. Kenny, Zhe Qu, Jerome H. L. Hui, Ka Hou Chu and Ho Yin Yip. Their work appears in journals such as Heredity, Pattern Recognition Letters and Human Immunology.

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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