Ying Cai

Ying Cai is a prolific researcher with significant contributions across diverse domains of computer science, mathematics, and biomedical applications. Their work spans artificial intelligence, medical imaging, cybersecurity, and computational methods, as evidenced by recent publications in journals like Engineering Applications of Artificial Intelligence and IEEE Transactions on Medical Imaging. Key research areas include lung cancer detection algorithms, distributed filtering under cyber-attacks, and cryptographic protocols.

• 2025: 9 publications
• 2024: 18 publications
• 2023: 8 publications

Notable collaborations include work with Yang Zhao, Zeyu Zhang, and Daji Ergu on medical AI applications and computational techniques. Their recent articles demonstrate expertise in:

• Medical imaging and diagnostic automation
• Deep learning optimization
• Secure communication protocols
• Computational mathematical models

Ying Cai's research bridges theoretical rigor with practical implementation across domains like health informatics, network security, and educational technology.