De Li

536 citations
75 papers · 308 · h-index 10

Impact in

Papers in

De Li

65 papers receiving 287 citations

Peers

De Li
Comparison fields: 5 of 79
  • Computer Vision and Pattern Recognition 122
  • Nuclear Energy and Engineering 2
  • Media Technology 19
  • Computer Graphics and Computer-Aided Design 6
  • Management Information Systems 15
Replace Mohammed Alnuem with:
Mohammed Alnuem Saudi Arabia
Lyubka Doukovska Bulgaria
Nak-Myoung Sung South Korea
Tzyy‐Shuh Chang United States
Tauqeer Ahmed China
Adnan Ahmed Pakistan
Eva Volná Czechia
Yaser Dalveren Türkiye
De Li relative to Mohammed Alnuem Saudi Arabia Mohammed Alnuem's profile →
Citations per field
00.5×7.9×
Mohammed Alnuem · 1×
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 75 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202523
2 202022
3 202020
4 201617
5 201511
6 202211
7 201611
8 202210
9 201610
10 20249
11 20249
12 20179
13 20238
14 20228
15
Secure Image Forensic Marking Algorithm using 2D Barcode and Off-axis Hologram in DWT-DFRNT Domain
20128
16 20247
17 20107
18 20246
19 20216
20 20225

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 75 papers that have together received 308 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (21 papers), Digital Media Forensic Detection (12 papers), Chaos-based Image/Signal Encryption (8 papers), Biometric Identification and Security (4 papers), Advanced Neural Network Applications (4 papers), Advanced Image and Video Retrieval Techniques (4 papers), Music and Audio Processing (4 papers) and Vehicle License Plate Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (122 citations), Nuclear Energy and Engineering (2 citations), Media Technology (19 citations), Computer Graphics and Computer-Aided Design (6 citations) and Management Information Systems (15 citations). De Li has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Jongweon Kim, Haitao Li, Feifeng Jiang, Tiegang Gao, Xuansheng Cheng, Liqun Zhou, Bin Peng, Peng Sun, Hai Lin and Jun Bian. Their work appears in journals such as Multimedia Tools and Applications, Multimedia Systems, ACS Applied Polymer Materials, Scientific Reports and Composites Part A Applied Science and Manufacturing.

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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