Fan Chen

770 total citations
50 papers, 522 citations indexed

About

Fan Chen is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Fan Chen has authored 50 papers receiving a total of 522 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Fan Chen's work include Advanced Steganography and Watermarking Techniques (37 papers), Chaos-based Image/Signal Encryption (34 papers) and Digital Media Forensic Detection (24 papers). Fan Chen is often cited by papers focused on Advanced Steganography and Watermarking Techniques (37 papers), Chaos-based Image/Signal Encryption (34 papers) and Digital Media Forensic Detection (24 papers). Fan Chen collaborates with scholars based in China, Japan and United States. Fan Chen's co-authors include Hongjie He, Jiashu Zhang, Heng‐Ming Tai, Yuan Yuan, Hongjie He, Miao Tian, Kazunori Kotani, Hung Son Nguyen, Hadi Amirpour and Christian Timmerer and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of the Optical Society of America A and IEEE Internet of Things Journal.

In The Last Decade

Fan Chen

45 papers receiving 502 citations

Peers

Fan Chen
Comparison fields: 5 of 55
  • Computer Vision and Pattern Recognition 466
  • Media Technology 66
  • Artificial Intelligence 40
  • Aerospace Engineering 37
  • Signal Processing 28
Replace Uma Mudenagudi with:
Uma Mudenagudi India
Cheng-en Guo United States
Phil Sallee United States
Hengcan Shi China
Yogesh Raja United Kingdom
Weize Quan China
Harry Shum China
Xiaopeng Zhang China
M. Alder Australia
Uma Mudenagudi India View profile →
Citations per field, relative to Fan Chen
Fan Chen · 1×
Citations per year, relative to Fan Chen
Fan Chen · 1×

Countries citing papers authored by Fan Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fan Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fan Chen

This figure shows the co-authorship network connecting the top 25 collaborators of Fan Chen. A scholar is included among the top collaborators of Fan Chen 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 Fan Chen. Fan Chen 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 0
2 2
3 2
4 1
5 8
6 5
7 2
8 4
9 19
10 23
11 1
12 11
13 3
14 1
15 36
16
Secure Fragile Watermarking Algorithm with Tampered-pixels Localization
1
17 12
18
On the Security of the Self-Embedding Watermarking Scheme
2
19
Novel fragile watermarking based on image singular value
3
20
Novel fragile watermark technique based on chaos and image content
1

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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