Suxia Cui

Prairie View A&M University

Papers

5

Total Citations

185

H-Index

3

About

Dr. Suxia Cui is a pioneering researcher at the intersection of intelligent systems, robotics, and environmental sensing. Her work spans deep learning applications in marine biology, cyber-physical systems (CPS), and agricultural automation. Dr. Cui’s most influential contribution is her 2020 paper “Fish Detection Using Deep Learning,” which has garnered 113 citations and addresses the critical challenge of autonomous underwater exploration—enabling robots to safely monitor marine ecosystems. Her foundational 2017 literature review on Cyber-Physical Systems, cited 60 times, provides a comprehensive framework for integrating computational and physical components in smart systems, influencing fields from healthcare to agriculture. Dr. Cui also developed a UGV-based laser scanner system for measuring tree geometric characteristics, demonstrating her commitment to practical, real-world robotics applications. Her work in healthcare robotics and laboratory enhancement with LabVIEW further showcases her versatility. With a career marked by high-impact publications and a focus on bridging virtual intelligence with physical environments, Dr. Cui is advancing the frontier of autonomous systems for environmental monitoring and beyond.

Research Focus

Key Achievements

3
H-Index
5
Papers
185
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Fish Detection Using Deep Learning
113 citations · 2020
📈 Most Prolific Year: 2020 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Prairie View A&M University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago