Chieh-Chi Kao

839 citations
28 papers · 438 · h-index 11

Impact in

Papers in

    • Music Technology and Sound Studies 6
    • Advanced Vision and Imaging 4
    • Video Analysis and Summarization 4
    • Image Enhancement Techniques 3
    • Visual Attention and Saliency Detection 3
    • Music and Audio Processing 15
    • Speech and Audio Processing 14

Chieh-Chi Kao

26 papers receiving 414 citations

Peers

Chieh-Chi Kao
Comparison fields: 5 of 58
  • Signal Processing 122
  • Computer Vision and Pattern Recognition 207
  • Civil and Structural Engineering 99
  • Developmental Biology 9
  • Artificial Intelligence 103
Replace Essam Abdellatef with:
Essam Abdellatef Egypt
Gang Pan China
Hao Meng China
Eva Lieskovská Slovakia
Xiaoming Huang China
Mustafa Sert Türkiye
Erhan Akbal Türkiye
A. Belén Moreno Spain
Musab Coşkun Türkiye
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Citations per field
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Citations per year

Countries citing papers authored by Chieh-Chi Kao

Since Specialization
Citations

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

Fields of papers citing papers by Chieh-Chi Kao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chieh-Chi Kao. 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 Chieh-Chi Kao. The network helps show where Chieh-Chi Kao may publish in the future.

Co-authors

The 25 scholars most cited alongside Chieh-Chi Kao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Chieh-Chi Kao Line = papers co-authored together Chieh-Chi Kao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017128
2 201250
3 201148
4 202038
5 202128
6 201424
7 202022
8 201914
9 201912
10 201111
11 201910
12 20099
13 20229
14 20196
15 20205
16 20194
17 20224
18 20113
19 20203
20 20112

About Chieh-Chi Kao

Chieh-Chi Kao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Civil and Structural Engineering and Control and Systems Engineering, having authored 28 papers that have together received 438 indexed citations. Recurring topics across this work include Music and Audio Processing (15 papers), Speech and Audio Processing (14 papers), Speech Recognition and Synthesis (9 papers), Music Technology and Sound Studies (6 papers), Advanced Vision and Imaging (4 papers), Video Analysis and Summarization (4 papers), Image Enhancement Techniques (3 papers) and Visual Attention and Saliency Detection (3 papers). The work is most often cited by research in Signal Processing (122 citations), Computer Vision and Pattern Recognition (207 citations), Civil and Structural Engineering (99 citations), Developmental Biology (9 citations) and Artificial Intelligence (103 citations). Chieh-Chi Kao has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include Shao‐Yi Chien, Chen Feng, Teng‐Yok Lee, Ming Sun, Chao Wang, Winston H. Hsu, Spyros Matsoukas, Bowen Shi, Tse-Wei Chen and Tse‐Wei Chen. Their work appears in journals such as IEEE Transactions on Multimedia, Journal of Visual Communication and Image Representation, IEEE Transactions on Circuits and Systems for Video Technology and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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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