Hwai-Tsu Hu

1.3k citations
66 papers · 1.0k indexed · h-index 21
Topics
Advanced Steganography and Watermarking Techniques (46 papers)Digital Media Forensic Detection (45 papers)Speech and Audio Processing (18 papers)
Partner nations
TaiwanUnited States

In The Last Decade

Hwai-Tsu Hu

63 papers receiving 986 citations

Peers

Hwai-Tsu Hu
Comparison fields: 5 of 51
  • Computer Vision and Pattern Recognition 916
  • Signal Processing 259
  • Media Technology 132
  • Artificial Intelligence 81
  • Computational Mechanics 43
Replace Chafic Mokbel with:
Chafic Mokbel France
K. Etemad United States
Wai C. Chu United States
Gaurav Aggarwal United States
Jin-Jang Leou Taiwan
Andrea Selinger United States
Chamira U. S. Edussooriya Sri Lanka
Gilbert Maître Switzerland
Rama Chellappa United States
Shen Lan-sun China
Hwai-Tsu Hu relative to Chafic Mokbel France Chafic Mokbel's profile →
Citations per field
00.5×4.8×
Chafic Mokbel · 1×
Citations per year

Countries citing papers authored by Hwai-Tsu Hu

Since Specialization
Citations

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

Fields of papers citing papers by Hwai-Tsu Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hwai-Tsu Hu. 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 Hwai-Tsu Hu. The network helps show where Hwai-Tsu Hu may publish in the future.

Co-authorship network of co-authors of Hwai-Tsu Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Hwai-Tsu Hu. A scholar is included among the top collaborators of Hwai-Tsu Hu 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 Hwai-Tsu Hu. Hwai-Tsu Hu 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
#WorkIndexed citations
1 4
2 11
3 3
4 10
5 2
6 76
7 3
8
Improving DWT-DCT-Based Blind Audio Watermarking Using Perceptually Energy-Compensated QIM
1
9 21
10 52
11 6
12 5
13 27
14 4
15 72
16 3
17 0
18
A Pseudo Glottal Excitation Model for the Linear Prediction Vocoder with Speech Signals Coded at 1.6 kbps
2
19 5
20 45

About Hwai-Tsu Hu

Hwai-Tsu Hu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 66 papers that have together received 1.0k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (46 papers), Digital Media Forensic Detection (45 papers) and Speech and Audio Processing (18 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (916 citations), Signal Processing (259 citations) and Media Technology (132 citations). Hwai-Tsu Hu has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Ling-Yuan Hsu, D. G. Childers, Chu Yu, Wei‐Hsi Chen, Chun-Chi Chen and Hsin‐Min Wang. Their work appears in journals such as The Journal of the Acoustical Society of America, Expert Systems with Applications and IEEE Access.

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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