Yun-Qing Shi

8.0k citations
128 papers · 5.6k indexed · 3 hit papers · h-index 43
Topics
Advanced Steganography and Watermarking Techniques (90 papers)Digital Media Forensic Detection (88 papers)Chaos-based Image/Signal Encryption (46 papers)
Partner nations
United StatesChinaTaiwan

In The Last Decade

Yun-Qing Shi

120 papers receiving 5.4k citations

Hit Papers

Structural Design of Convolutional Neural Networks for St...2013202620172021201620132016100200300400

Peers

Yun-Qing Shi
Comparison fields: 5 of 112
  • Computer Vision and Pattern Recognition 5.1k
  • Artificial Intelligence 666
  • Signal Processing 502
  • Media Technology 481
  • Information Systems 226
Replace Xiaolong Li with:
Xiaolong Li China
Hongxia Wang China
Alessandro Piva Italy
Jiwu Huang China
Min Long China
Wei Su United States
Gregory K. Wallace United States
Wan-Chi Siu Hong Kong
F. Bartolini Italy
Yun-Qing Shi relative to Xiaolong Li China Xiaolong Li's profile →
Citations per field
00.5×1.5×1.9×
Xiaolong Li · 1×
Citations per year

Countries citing papers authored by Yun-Qing Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yun-Qing Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun-Qing Shi. 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 Yun-Qing Shi. The network helps show where Yun-Qing Shi may publish in the future.

Co-authorship network of co-authors of Yun-Qing Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yun-Qing Shi. A scholar is included among the top collaborators of Yun-Qing Shi 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 Yun-Qing Shi. Yun-Qing Shi 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 8
2 0
3 0
4 0
5 0
6 4
7 12
8 18
9 17
10 85
11 68
12 11
13 38
14 7
15 24
16 52
17 130
18 57
19 68
20 32

About Yun-Qing Shi

Yun-Qing Shi is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing, having authored 128 papers that have together received 5.6k indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (90 papers), Digital Media Forensic Detection (88 papers) and Chaos-based Image/Signal Encryption (46 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (5.1k citations), Media Technology (481 citations) and Signal Processing (502 citations). Yun-Qing Shi has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Bin Ma, Jiwu Huang, Hanzhou Wu, Xiaolong Li, Guanshuo Xu, Jiangqun Ni, Hao‐Tian Wu, Chunpeng Wang, Xingyuan Wang and Fangjun Huang. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Access and Information 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026