Pei-Ling Chiu

428 citations
17 papers · 301 · h-index 11

Impact in

    • Advanced Steganography and Watermarking Techniques
    • Chaos-based Image/Signal Encryption
    • Digital Media Forensic Detection
    • Advanced Image and Video Retrieval Techniques
    • Advanced Data Compression Techniques
    • Biometric Identification and Security

Papers in

Pei-Ling Chiu

17 papers receiving 257 citations

Peers

Pei-Ling Chiu
Comparison fields: 5 of 46
  • Computer Vision and Pattern Recognition 238
  • Signal Processing 28
  • Water Science and Technology 20
  • Artificial Intelligence 34
  • Process Chemistry and Technology 3
Replace Chia-Hsuan Lin with:
Chia-Hsuan Lin Taiwan
Yi-Hsuan Fan Taiwan
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Pei-Ling Chiu relative to Chia-Hsuan Lin Taiwan Chia-Hsuan Lin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Pei-Ling Chiu

Since Specialization
Citations

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

Fields of papers citing papers by Pei-Ling Chiu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pei-Ling Chiu. 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 Pei-Ling Chiu. The network helps show where Pei-Ling Chiu may publish in the future.

Co-authors

The 20 scholars most cited alongside Pei-Ling Chiu, 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 Pei-Ling Chiu Line = papers co-authored together Pei-Ling Chiu links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201153
2 201044
3 201327
4 202126
5 201925
6 201121
7 201420
8 200720
9 201417
10 201114
11 202010
12 20149
13 20166
14 20084
15 20103
16
A visual sharing scheme for multiple secrets by camouflaging process
20101
17 20181

About Pei-Ling Chiu

Pei-Ling Chiu is a scholar working on Computer Vision and Pattern Recognition, Organic Chemistry, Computer Networks and Communications, Molecular Biology and Sociology and Political Science, having authored 17 papers that have together received 301 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (13 papers), Chaos-based Image/Signal Encryption (10 papers), Digital Media Forensic Detection (6 papers), Advanced Image and Video Retrieval Techniques (4 papers), Organoboron and organosilicon chemistry (1 paper), Energy Efficient Wireless Sensor Networks (1 paper), Indoor and Outdoor Localization Technologies (1 paper) and Membrane Separation Technologies (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (238 citations), Signal Processing (28 citations), Water Science and Technology (20 citations), Artificial Intelligence (34 citations) and Process Chemistry and Technology (3 citations). Pei-Ling Chiu has collaborated with scholars based in Taiwan, Australia and United Kingdom. Frequent co-authors include Kai-Hui Lee, Tsung‐Lieh Lin, Ray-Shine Run, Y-H. Chen, Tzong‐Wann Kao, Shi‐Jinn Horng, Rong‐Jian Chen, Jui‐Lin Lai, Kai‐Ting Chan and Yi‐Chen Lin. Their work appears in journals such as IEEE Transactions on Information Forensics and Security, Signal Processing, IEEE Transactions on Image Processing, Expert Systems with Applications and International journal of innovative computing, information & control.

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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