Yuan‐Gen Wang

1.0k citations
69 papers · 659 indexed · h-index 14
Topics
Advanced Steganography and Watermarking Techniques (20 papers)Advanced Image Processing Techniques (14 papers)Digital Media Forensic Detection (14 papers)
Partner nations
ChinaHong KongAustralia

In The Last Decade

Yuan‐Gen Wang

60 papers receiving 630 citations

Peers

Yuan‐Gen Wang
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 519
  • Artificial Intelligence 102
  • Media Technology 97
  • Signal Processing 79
  • Electrical and Electronic Engineering 37
Replace Basant Kumar with:
Basant Kumar India
Yun-Qing Shi United States
Güzin Ulutaş Türkiye
Long-Wen Chang Taiwan
Fazhi He China
Heri Prasetyo Indonesia
K B Raja India
K.R. Ramakrishnan India
Huawei Tian China
Dongming Zhang China
Yuan‐Gen Wang relative to Basant Kumar India Basant Kumar's profile →
Citations per field
00.5×6.3×
Basant Kumar · 1×
Citations per year

Countries citing papers authored by Yuan‐Gen Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yuan‐Gen Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yuan‐Gen Wang. 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 Yuan‐Gen Wang. The network helps show where Yuan‐Gen Wang may publish in the future.

Co-authorship network of co-authors of Yuan‐Gen Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuan‐Gen Wang. A scholar is included among the top collaborators of Yuan‐Gen Wang 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 Yuan‐Gen Wang. Yuan‐Gen Wang 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 1
2 0
3 0
4 6
5 4
6 0
7 8
8 8
9 1
10 1
11 11
12 16
13 12
14 0
15 1
16 0
17 1
18 1
19 6
20
Robust Image Hashing Based on Statistical Invariance of DCT Coefficients.
1

About Yuan‐Gen Wang

Yuan‐Gen Wang is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence, having authored 69 papers that have together received 659 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (20 papers), Advanced Image Processing Techniques (14 papers) and Digital Media Forensic Detection (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (519 citations), Media Technology (97 citations) and Signal Processing (79 citations). Yuan‐Gen Wang has collaborated with scholars based in China, Hong Kong and Australia. Frequent co-authors include Guopu Zhu, Jiwu Huang, Sam Kwong, Weiqi Luo, Yun-Qing Shi, Jin Li, Weixuan Tang, Liujuan Cao, Yong Li and Zijia Wang. Their work appears in journals such as Scientific Reports, IEEE Transactions on Image Processing and Expert Systems with Applications.

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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