Fang Cao

735 citations
44 papers · 528 indexed · h-index 11
Topics
Advanced Steganography and Watermarking Techniques (16 papers)Digital Media Forensic Detection (14 papers)Chaos-based Image/Signal Encryption (12 papers)
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Fang Cao

40 papers receiving 510 citations

Peers

Fang Cao
Comparison fields: 5 of 54
  • Computer Vision and Pattern Recognition 415
  • Information Systems 90
  • Signal Processing 85
  • Artificial Intelligence 46
  • Media Technology 45
Replace F. Deguillaume with:
F. Deguillaume Switzerland
A. Swaminathan United States
Ran-Zan Wang Taiwan
Hanqing Zhao China
Xuechang Ren China
Christos G. Bampis United States
Gordon W. Braudaway United States
Guan‐Ming Su United States
Subariah Ibrahim Malaysia
Amit Gruber Israel
Fang Cao relative to F. Deguillaume Switzerland F. Deguillaume's profile →
Citations per field
00.5×10×15×17.6×
F. Deguillaume · 1×
Citations per year

Countries citing papers authored by Fang Cao

Since Specialization
Citations

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

Fields of papers citing papers by Fang Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fang Cao

This figure shows the co-authorship network connecting the top 25 collaborators of Fang Cao. A scholar is included among the top collaborators of Fang Cao 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 Fang Cao. Fang Cao 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 1
2 3
3 1
4 4
5 3
6 8
7 1
8 6
9 1
10 2
11
Perchlorate Contamination in Tea and Its Analytical Techniques
1
12 20
13 119
14 50
15 64
16 18
17
Research on the Key Issues of Railway Collision Avoidance System
1
18
Ellipse Fitting Algorithm Based on Heteroscedastic Theory
1
19 1
20 1

About Fang Cao

Fang Cao is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Aerospace Engineering, having authored 44 papers that have together received 528 indexed citations. Recurring topics across this work include Advanced Steganography and Watermarking Techniques (16 papers), Digital Media Forensic Detection (14 papers) and Chaos-based Image/Signal Encryption (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (415 citations), Signal Processing (85 citations) and Media Technology (45 citations). Fang Cao has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Chuan Qin, Xinpeng Zhang, Heng Yao, Wei Zhang, Chin‐Chen Chang, Bowen An, Jinwei Wang, Haichang Gao, Jing Dong and Dengpan Ye. Their work appears in journals such as Physical Review Letters, Expert Systems with Applications and IEEE Access.

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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