Jui-Cheng Yen

1.5k citations
27 papers · 1.0k indexed · 1 hit paper · h-index 11

Jui-Cheng Yen

26 papers receiving 950 citations

Hit Papers

A new criterion for automatic multilevel thresholding6441995202620052015200400600

Peers

Jui-Cheng Yen
Comparison fields: 5 of 130
  • Computer Vision and Pattern Recognition 574
  • Media Technology 101
  • Biophysics 40
  • Artificial Intelligence 202
  • Mathematical Physics 53
Replace J.-M. Chassery with:
J.-M. Chassery France
Meirav Galun Israel
Mingfeng Jiang China
Michel Couprie France
Hua Li China
R. van den Boomgaard Netherlands
Jaejun Yoo South Korea
Michela Spagnuolo Italy
Jack Bresenham United States
Alexander Belyaev Germany
Jui-Cheng Yen relative to J.-M. Chassery France J.-M. Chassery's profile →
Citations per field
00.5×1.5×2.2×
J.-M. Chassery · 1×
Citations per year

Countries citing papers authored by Jui-Cheng Yen

Since Specialization
Citations

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

Fields of papers citing papers by Jui-Cheng Yen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jui-Cheng Yen. 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 Jui-Cheng Yen. The network helps show where Jui-Cheng Yen may publish in the future.

Co-authorship network

The 6 scholars most cited alongside Jui-Cheng Yen, 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 Jui-Cheng Yen Line = papers co-authored together Jui-Cheng Yen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20112
2 20110
3 20106
4 20071
5 20064
6 20051
7 20042
8 20033
9 200329
10 200320
11 200339
12 20033
13 200353
14 20022
15 200222
16 200123
17 200082
18
A new criterion for automatic multilevel thresholdingbreakdown →
1995644
19 199415
20 199224

About Jui-Cheng Yen

Jui-Cheng Yen is a scholar working on Computer Vision and Pattern Recognition, Hardware and Architecture, Signal Processing, Media Technology and Computer Graphics and Computer-Aided Design, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Chaos-based Image/Signal Encryption (12 papers), Advanced Steganography and Watermarking Techniques (7 papers), Cellular Automata and Applications (4 papers), Cryptographic Implementations and Security (3 papers), Network Packet Processing and Optimization (3 papers), Digital Media Forensic Detection (3 papers), Coding theory and cryptography (2 papers) and Video Coding and Compression Technologies (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (574 citations), Media Technology (101 citations), Biophysics (40 citations), Artificial Intelligence (202 citations) and Mathematical Physics (53 citations). Jui-Cheng Yen has collaborated with scholars based in Taiwan. Frequent co-authors include Shyang Chang, Jiun-In Guo, Jiun-In Guo, Ray-Shine Run, Hung‐Chun Chen and Po‐Wei Huang. Their work appears in journals such as Electronics Letters, Journal of Systems Architecture, Pattern Recognition, IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems for Video Technology.

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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