Yunxia Liu

705 citations
26 papers · 400 indexed · h-index 11
Topics
Advanced Steganography and Watermarking Techniques (17 papers)Digital Media Forensic Detection (13 papers)Video Coding and Compression Technologies (11 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessNeurocomputing

In The Last Decade

Yunxia Liu

22 papers receiving 379 citations

Peers

Yunxia Liu
Comparison fields: 5 of 33
  • Computer Vision and Pattern Recognition 377
  • Signal Processing 158
  • Artificial Intelligence 48
  • Information Systems 17
  • Economics and Econometrics 9
Replace Hongguo Zhao with:
Hongguo Zhao China
Xiaojing Ma China
Dawen Xu China
Mehdi Fallahpour Spain
Fuzong Lin China
Maha Charfeddine Tunisia
Andreas Westfeld Germany
Tajuddin Manhar Mohammed United States
Alexander Herrigel Switzerland
Eugene T. Lin United States
Yunxia Liu relative to Hongguo Zhao China Hongguo Zhao's profile →
Citations per field
00.5×1.5×
Hongguo Zhao · 1×
Citations per year

Countries citing papers authored by Yunxia Liu

Since Specialization
Citations

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

Fields of papers citing papers by Yunxia Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunxia Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Yunxia Liu. A scholar is included among the top collaborators of Yunxia Liu 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 Yunxia Liu. Yunxia Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 2
5 15
6 3
7 10
8 6
9 1
10 2
11 98
12 50
13 10
14 17
15 23
16 21
17 30
18 1
19 14
20 4

About Yunxia Liu

Yunxia Liu is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Space and Planetary Science, having authored 26 papers that have together received 400 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (17 papers), Digital Media Forensic Detection (13 papers) and Video Coding and Compression Technologies (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (377 citations), Signal Processing (158 citations) and Artificial Intelligence (48 citations). Yunxia Liu has collaborated with scholars based in China, United Kingdom and Hong Kong. Frequent co-authors include Hongguo Zhao, Si Liu, Shuyang Liu, Xiaojing Ma, Yonghao Wang, Mingsheng Hu, Zhitang Li, Jian Liu, Cong Feng and Zhijuan Jia. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Neurocomputing.

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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