Chien-Chang Chen

2.4k citations
89 papers · 1.6k indexed · h-index 22

Chien-Chang Chen

84 papers receiving 1.5k citations

Peers

Chien-Chang Chen
Comparison fields: 5 of 149
  • Computer Vision and Pattern Recognition 955
  • Media Technology 182
  • Management Information Systems 153
  • Artificial Intelligence 389
  • Information Systems and Management 73
Replace Yunfeng Zhang with:
Yunfeng Zhang China
Venkat N. Gudivada United States
Paul Lewis United Kingdom
Manjusha Pandey India
Edin Muharemagic United States
Kaiyong Zhao Hong Kong
Hedieh Sajedi Iran
Hai Liu China
Weimin Li China
Stefan Wrobel Germany
Chien-Chang Chen relative to Yunfeng Zhang China Yunfeng Zhang's profile →
Citations per field
00.5×4.6×
Yunfeng Zhang · 1×
Citations per year

Countries citing papers authored by Chien-Chang Chen

Since Specialization
Citations

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

Fields of papers citing papers by Chien-Chang Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien-Chang Chen. 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 Chien-Chang Chen. The network helps show where Chien-Chang Chen may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20230
2 20231
3 20231
4 20236
5 20211
6
Block Sampled Matching with Region Growing for Detecting Copy-Move Forgery Duplicated Regions.
20175
7
An Expandable Essential Secret Image Sharing Structure.
201613
8 20133
9 201222
10
Reversible Data Hiding Based on Median Difference Histogram
20113
11 201023
12
Reversible data hiding based on grayscale value histogram with optimal multiple pairs of crests and troughs
20091
13
A Geometry-Based Secret Image Sharing Approach
200829
14 20085
15
A GA-BASED NEARLY OPTIMAL IMAGE AUTHENTICATION APPROACH
20079
16
Toward a robust image authentication method surviving JPEG lossy compression
20072
17 20051
18 20021
19 199935
20 1987143

About Chien-Chang Chen

Chien-Chang Chen is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Computer Graphics and Computer-Aided Design, having authored 89 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (26 papers), Chaos-based Image/Signal Encryption (22 papers), Digital Media Forensic Detection (17 papers), Image Retrieval and Classification Techniques (13 papers), Advanced Image and Video Retrieval Techniques (8 papers), Medical Image Segmentation Techniques (7 papers), Cryptography and Data Security (6 papers) and Industrial Vision Systems and Defect Detection (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (955 citations), Media Technology (182 citations) and Management Information Systems (153 citations). Chien-Chang Chen has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Tung‐I Tsai, Samuel C. Yang, Chuck C.H. Law, Richard C. Dubes, Anil K. Jain, Hsueh‐Ting Chu, Chih‐Chien Wang, Fang‐Pang Lin, Chung-Lin Huang and Shih-Chang Chen. Their work appears in journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

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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