Ling Du

Countries

This corpus build does not record which country the citing authors are in, so the country breakdown is not computed. The other breakdowns below are unaffected.

Institutions

• Ministry of Agriculture and Rural Affairs9.8%
• Feng Chia University9.3%
• Chinese Academy of Sciences8.2%
• National Engineering Research Center for Information Technology in Agriculture8.2%
• University of Shanghai for Science and Technology7.3%
• Sun Yat-sen University7.1%
• Other50.1%

Fields

• Computer Science54.7%
• Engineering16.1%
• Biochemistry, Genetics and Molecular Biology8.4%
• Environmental Science6.9%
• Medicine5.7%
• Materials Science2.2%
• Other6.1%

Topics

• Advanced Steganography and Watermarking Techniques24.5%
• Chaos-based Image/Signal Encryption19.6%
• Digital Media Forensic Detection18.8%
• Underwater Vehicles and Communication Systems6.7%
• Robotic Path Planning Algorithms6.3%
• Water Quality Monitoring Technologies3.9%
• Other20.1%