Chao-Tsung Huang

1.1k total citations
58 papers, 801 citations indexed

About

Chao-Tsung Huang is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Chao-Tsung Huang has authored 58 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Computer Vision and Pattern Recognition, 23 papers in Signal Processing and 23 papers in Media Technology. Recurrent topics in Chao-Tsung Huang's work include Image and Signal Denoising Methods (27 papers), Advanced Data Compression Techniques (22 papers) and Advanced Vision and Imaging (19 papers). Chao-Tsung Huang is often cited by papers focused on Image and Signal Denoising Methods (27 papers), Advanced Data Compression Techniques (22 papers) and Advanced Vision and Imaging (19 papers). Chao-Tsung Huang collaborates with scholars based in Taiwan, United States and Jordan. Chao-Tsung Huang's co-authors include Liang‐Gee Chen, Po-Chih Tseng, Ching-Yeh Chen, Yi‐Hau Chen, Anantha P. Chandrakasan, Vivienne Sze, Hung-Chi Fang, Chiraag Juvekar, Chung-Jr Lian and Yung‐Chi Chang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and IEEE Transactions on Image Processing.

In The Last Decade

Chao-Tsung Huang

54 papers receiving 745 citations

Peers

Chao-Tsung Huang
Comparison fields: 5 of 49
  • Computer Vision and Pattern Recognition 683
  • Signal Processing 475
  • Media Technology 99
  • Electrical and Electronic Engineering 70
  • Artificial Intelligence 36
Replace Shyh-Yih Ma with:
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Gaurav Aggarwal United States
Ted Painter United States
Joohee Kim United States
Ahmet Emir Dırık Türkiye
Jiann‐Jone Chen Taiwan
Sanjay Singh India
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Shyh-Yih Ma Taiwan View profile →
Citations per field, relative to Chao-Tsung Huang
Chao-Tsung Huang · 1×
Citations per year, relative to Chao-Tsung Huang
Chao-Tsung Huang · 1×

Countries citing papers authored by Chao-Tsung Huang

Since Specialization
Citations

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

Fields of papers citing papers by Chao-Tsung Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chao-Tsung Huang

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 1
3 0
4 0
5 1
6 18
7 17
8 8
9 5
10 1
11 4
12 24
13 4
14 1
15 15
16
Generic RAM-based architectures for two-dimensional discrete wavelet transform with line-based method
2
17 62
18 25
19 18
20 48

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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