Chinese Academy of Sciences

🇨🇳 CN

Papers

4,283

Total Citations

133,781

H-Index

148

Researchers

5,698

About

The Chinese Academy of Sciences (CAS) stands as one of the world's premier research institutions, distinguished by an extraordinary breadth of scientific inquiry that seamlessly bridges fundamental theory, advanced materials, and cutting-edge robotics and AI applications. With research spanning deep-sea robotics, electronic skin technologies, intelligent sensing, and machine learning, CAS has established itself as a global powerhouse driving the next generation of intelligent systems. CAS researchers have made transformative contributions to flexible and wearable electronics, consistently producing landmark work on electronic skin that replicates the human somatosensory system. Their pioneering studies on stretchable sensor networks, graphene-based fiber sensors, and self-healing ionic skins have collectively garnered thousands of citations, influencing how the broader community approaches human-machine interfaces, soft robotics, and healthcare monitoring. Equally impressive is their work on self-powered systems, including a triboelectric auditory sensor enabling sophisticated social robotics applications and foundational theoretical work on nanogenerators grounded in Maxwell's equations. The institution's impact extends far beyond sensing technologies. The celebrated self-powered soft robot deployed in the Mariana Trench demonstrated CAS's capacity to engineer sophisticated robotic platforms for the most extreme environments on Earth. Their contributions to operator learning through DeepONet have reshaped scientific machine learning, while advances in AI-driven drug discovery underscore a strong commitment to translational research. The FAST radio telescope project reflects CAS's ambition at civilizational scale. Prospective students and collaborators will find within CAS a uniquely interdisciplinary environment, home to dedicated institutes spanning robotics, nanotechnology, neuroscience, and computational intelligence, where grand scientific challenges meet meticulous engineering excellence.

Research Focus

Key Achievements

148
H-Index
4,283
Papers
133,781
Total Citations
5,698
Faculty & Researchers
🏆 Most Cited Paper
Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
2,732 citations · 2021
📊 Avg Citations/Paper: 31
📈 Most Prolific Year: 2024 (527)
🔬 Research Focus: Computer science, Artificial intelligence, Materials science, Robot, Engineering, Nanotechnology

Top Papers

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Faculty & Researchers

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