Jingbing Li

407 citations
15 papers · 236 indexed · h-index 7
Topics
Advanced Steganography and Watermarking Techniques (15 papers)Chaos-based Image/Signal Encryption (11 papers)Digital Media Forensic Detection (9 papers)
Partner nations
ChinaJapanUnited Kingdom

In The Last Decade

Jingbing Li

14 papers receiving 223 citations

Peers

Jingbing Li
Comparison fields: 5 of 45
  • Computer Vision and Pattern Recognition 206
  • Media Technology 32
  • Signal Processing 25
  • Artificial Intelligence 24
  • Radiology, Nuclear Medicine and Imaging 7
Replace Runwen Hu with:
Runwen Hu China
Brendan Halloran Australia
Wenkang Su China
Kaiser J. Giri India
Minjae Kim South Korea
Junlin Ouyang China
Zeyu Xiao China
Yinlong Qian China
Mohammad Akbari Canada
Jingbing Li relative to Runwen Hu China Runwen Hu's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jingbing Li

Since Specialization
Citations

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

Fields of papers citing papers by Jingbing Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jingbing Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jingbing Li. A scholar is included among the top collaborators of Jingbing Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jingbing Li. Jingbing Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 10
2 20
3 26
4 1
5 2
6 1
7 20
8 65
9 68
10 2
11 1
12 11
13 6
14
DFT based multiple watermarks for medical image robust to common and geometrical attacks
1
15
Robust watermarking for medical images based on Arnold scrambling and DWT-DFT
2

About Jingbing Li

Jingbing Li is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Urban Studies, having authored 15 papers that have together received 236 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (15 papers), Chaos-based Image/Signal Encryption (11 papers) and Digital Media Forensic Detection (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (206 citations), Media Technology (32 citations) and Signal Processing (25 citations). Jingbing Li has collaborated with scholars based in China, Japan and United Kingdom. Frequent co-authors include Uzair Aslam Bhatti, Jing Liu, Saqib Ali Nawaz, Anum Mehmood, Jixin Ma, Yang Ai, Yen‐Wei Chen, Linwang Yuan, Kun Zhang and Zhaoyuan Yu. Their work appears in journals such as PLoS ONE, IEEE Access and Applied Sciences.

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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