De Li

536 citations
89 papers · 337 · h-index 10

Impact in

Papers in

    • Advanced Steganography and Watermarking Techniques 31
    • Digital Media Forensic Detection 17
    • Chaos-based Image/Signal Encryption 11
    • Image and Video Stabilization 8
    • Advanced Image and Video Retrieval Techniques 6
    • Advanced Neural Network Applications 4
    • Advanced Data Compression Techniques 4

De Li

77 papers receiving 316 citations

Peers

De Li
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 143
  • Nuclear Energy and Engineering 2
  • Media Technology 21
  • Signal Processing 22
  • Management Information Systems 16
Replace V Asha with:
V Asha India
Wenbin Zhao China
Mohammed Alnuem Saudi Arabia
Nak-Myoung Sung South Korea
P. Sivakumar India
Yaser Dalveren Türkiye
Konrad Gromaszek Poland
Adnan Ahmed Pakistan
De Li relative to V Asha India V Asha's profile →
Citations per field
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Citations per year

Countries citing papers authored by De Li

Since Specialization
Citations

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

Fields of papers citing papers by De Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by De Li. 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 De Li. The network helps show where De Li may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202523
2 202022
3 202021
4 201617
5 201512
6 202212
7
Secure Image Forensic Marking Algorithm using 2D Barcode and Off-axis Hologram in DWT-DFRNT Domain
201212
8 202211
9 201611
10 201611
11 20249
12 20249
13 20179
14 20238
15 20228
16 20247
17 20107
18 20246
19 20136
20 20216

About De Li

De Li is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Information Systems and Control and Systems Engineering, having authored 89 papers that have together received 337 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (31 papers), Digital Media Forensic Detection (17 papers), Chaos-based Image/Signal Encryption (11 papers), Image and Video Stabilization (8 papers), Advanced Image and Video Retrieval Techniques (6 papers), Biometric Identification and Security (4 papers), Advanced Neural Network Applications (4 papers) and Advanced Data Compression Techniques (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (143 citations), Nuclear Energy and Engineering (2 citations), Media Technology (21 citations), Signal Processing (22 citations) and Management Information Systems (16 citations). De Li has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Jongweon Kim, Tiegang Gao, Feifeng Jiang, Haitao Li, Liqun Zhou, Xuansheng Cheng, Haitao Li, Jun Bian, Peng Sun and Xiuli Du. Their work appears in journals such as Multimedia Tools and Applications, Multimedia Systems, ACS Applied Polymer Materials, International Journal of Intelligent Systems and Computer-Aided Design.

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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