Hsien-Chu Wu

1.6k citations
52 papers · 1.2k indexed · h-index 16

Hsien-Chu Wu

51 papers receiving 1.0k citations

Peers

Hsien-Chu Wu
Comparison fields: 5 of 67
  • Computer Vision and Pattern Recognition 886
  • Energy Engineering and Power Technology 40
  • Renewable Energy, Sustainability and the Environment 127
  • Computer Graphics and Computer-Aided Design 25
  • Artificial Intelligence 225
Replace Abdelkader Laouid with:
Abdelkader Laouid Algeria
Vasupalli Manoj India
Anouar Farah Tunisia
John D. Hobby United States
Adrián González Mexico
S. Praveena India
Zenan Ling China
Souad Amjad Morocco
Tuanfa Qin China
Yiju Zhan China
Hsien-Chu Wu relative to Abdelkader Laouid Algeria Abdelkader Laouid's profile →
Citations per field
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Abdelkader Laouid · 1×
Citations per year

Countries citing papers authored by Hsien-Chu Wu

Since Specialization
Citations

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

Fields of papers citing papers by Hsien-Chu Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsien-Chu Wu. 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 Hsien-Chu Wu. The network helps show where Hsien-Chu Wu may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Hsien-Chu Wu, 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 Hsien-Chu Wu Line = papers co-authored together Hsien-Chu Wu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20211
3 20210
4 20201
5 201549
6 20102
7 20103
8 200996
9 20098
10 20076
11 20072
12 20061
13
Cryptanalysis of a Secure One-time Password Authentication Scheme with Low-communication for Mobile Communications.
20057
14 20052
15 2005119
16 200511
17 20042
18 200411
19
Hiding Digital Watermarks Using Fractal Compression Technique
200312
20 200215

About Hsien-Chu Wu

Hsien-Chu Wu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Transportation, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (34 papers), Chaos-based Image/Signal Encryption (28 papers), Digital Media Forensic Detection (25 papers), Advanced Image and Video Retrieval Techniques (5 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Authentication Protocols Security (3 papers), Internet Traffic Analysis and Secure E-voting (3 papers) and Cryptography and Data Security (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (886 citations), Energy Engineering and Power Technology (40 citations) and Renewable Energy, Sustainability and the Environment (127 citations). Hsien-Chu Wu has collaborated with scholars based in Taiwan and Japan. Frequent co-authors include Yen‐Ping Chu, Chwei‐Shyong Tsai, Chin‐Chen Chang, Chih-Chiang Lee, Yaow-Ming Chen, Chang-Hung Lee, Ya‐Fen Chang, Haocheng Wang, Yuchi Liu and Shyr-Shen Yu. Their work appears in journals such as Pattern Recognition, IEEE Transactions on Energy Conversion and Applied Sciences.

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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