WeiQi Yan

1.3k total citations
60 papers, 638 citations indexed

About

WeiQi Yan is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, WeiQi Yan has authored 60 papers receiving a total of 638 indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Computer Vision and Pattern Recognition, 8 papers in Signal Processing and 6 papers in Artificial Intelligence. Recurrent topics in WeiQi Yan's work include Advanced Steganography and Watermarking Techniques (21 papers), Chaos-based Image/Signal Encryption (18 papers) and Digital Media Forensic Detection (17 papers). WeiQi Yan is often cited by papers focused on Advanced Steganography and Watermarking Techniques (21 papers), Chaos-based Image/Signal Encryption (18 papers) and Digital Media Forensic Detection (17 papers). WeiQi Yan collaborates with scholars based in Singapore, United Kingdom and China. WeiQi Yan's co-authors include Mohan Kankanhalli, Xiaotian Wu, Jian Weng, Pradeep K. Atrey, Fuhao Zou, Hefei Ling, Paul Miller, Qing Zhang, Weiru Liu and Jianbing Ma and has published in prestigious journals such as International Journal of Molecular Sciences, Environmental Science and Pollution Research and Applied Soft Computing.

In The Last Decade

WeiQi Yan

60 papers receiving 579 citations

Peers

WeiQi Yan
Comparison fields: 5 of 61
  • Computer Vision and Pattern Recognition 557
  • Artificial Intelligence 101
  • Signal Processing 70
  • Information Systems 47
  • Media Technology 42
Replace Iwan Setyawan with:
Iwan Setyawan Indonesia
Fuhao Zou China
Dongming Zhang China
Tiezheng Ge China
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Jianping Fan China
Yihong Gong United States
Chiao-Fe Shu United States
K.R. Ramakrishnan India
Nianhua Xie China
Iwan Setyawan Indonesia View profile →
Citations per field, relative to WeiQi Yan
WeiQi Yan · 1×
Citations per year, relative to WeiQi Yan
WeiQi Yan · 1×

Countries citing papers authored by WeiQi Yan

Since Specialization
Citations

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

Fields of papers citing papers by WeiQi Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of WeiQi Yan

This figure shows the co-authorship network connecting the top 25 collaborators of WeiQi Yan. A scholar is included among the top collaborators of WeiQi Yan 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 WeiQi Yan. WeiQi Yan 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
# Work Indexed citations
1 5
2 1
3 2
4 2
5 10
6 15
7 1
8 2
9 4
10 1
11 4
12 9
13 4
14 13
15 4
16 3
17 1
18 11
19 6
20 37

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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