Kuo‐Feng Hwang

587 citations
21 papers · 411 indexed · h-index 9
Topics
Chaos-based Image/Signal Encryption (9 papers)Advanced Steganography and Watermarking Techniques (8 papers)Cryptography and Data Security (5 papers)
Partner nations
TaiwanChina

In The Last Decade

Kuo‐Feng Hwang

20 papers receiving 359 citations

Peers

Kuo‐Feng Hwang
Comparison fields: 5 of 33
  • Computer Vision and Pattern Recognition 212
  • Information Systems 179
  • Artificial Intelligence 161
  • Computer Networks and Communications 141
  • Signal Processing 46
Replace Lintian Qiao with:
Lintian Qiao United States
Anand Desai India
Zuowen Tan China
Patrick Horster Germany
Jingbo Yan China
Yi‐Fan Tseng Taiwan
Qi Chai Canada
Aala Alkhayer Jordan
Alexandros Koliousis United Kingdom
Baodian Wei China
Kuo‐Feng Hwang relative to Lintian Qiao United States Lintian Qiao's profile →
Citations per field
00.5×2.8×
Lintian Qiao · 1×
Citations per year

Countries citing papers authored by Kuo‐Feng Hwang

Since Specialization
Citations

This map shows the geographic impact of Kuo‐Feng Hwang'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 Kuo‐Feng Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuo‐Feng Hwang more than expected).

Fields of papers citing papers by Kuo‐Feng Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuo‐Feng Hwang. 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 Kuo‐Feng Hwang. The network helps show where Kuo‐Feng Hwang may publish in the future.

Co-authorship network of co-authors of Kuo‐Feng Hwang

This figure shows the co-authorship network connecting the top 25 collaborators of Kuo‐Feng Hwang. A scholar is included among the top collaborators of Kuo‐Feng Hwang 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 Kuo‐Feng Hwang. Kuo‐Feng Hwang 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 10
2 2
3 3
4 6
5 1
6 59
7 64
8
An information hiding technique for Halftone images based on human visual effects
2
9 56
10 32
11 2
12 5
13 3
14 3
15
A Digital Watermarking Scheme Using Human Visual Effects
27
16 36
17 3
18
(Informatica,11(1):001-004)Cryptanalysis of The Batch Verifying Multiple RSA Digital Signatures
1
19 16
20 79

About Kuo‐Feng Hwang

Kuo‐Feng Hwang is a scholar working on Computer Vision and Pattern Recognition, Information Systems and Computer Graphics and Computer-Aided Design, having authored 21 papers that have together received 411 indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (9 papers), Advanced Steganography and Watermarking Techniques (8 papers) and Cryptography and Data Security (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (212 citations), Information Systems (179 citations) and Computer Networks and Communications (141 citations). Kuo‐Feng Hwang has collaborated with scholars based in Taiwan and China. Frequent co-authors include Chin‐Chen Chang, Min‐Shiang Hwang, C. C. Chang, I‐En Liao, Yubing Wang and Yi Lin. Their work appears in journals such as IEEE Transactions on Wireless Communications, IEEE Transactions on Knowledge and Data Engineering and Pattern Recognition Letters.

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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