Papers
11
Total Citations
164
H-Index
6
About
Jiewu Leng is a leading researcher at the forefront of smart manufacturing and Industry 5.0, with a focus on integrating cutting-edge digital technologies to create human-centric, intelligent production systems. His major contributions span the convergence of digital twins, large language models, and additive manufacturing, most notably in his highly cited 2025 work on integrating LLMs with digital twins for Industry 5.0, which has already garnered 66 citations. Leng has also made significant strides in 3D printing, with his 2023 review on additive manufacturing in Industry 4.0 accumulating 54 citations, and in bioprinting, where his 2024 review on 3D and 4D bioprinting for mass individualization has earned 11 citations. His research extends to human-robot collaboration, where he explores deep reinforcement learning for robotic path planning and vision-based intention recognition, as well as cloud-edge SLAM for intelligent transportation. With a total of over 160 citations across his top ten papers, Leng’s work is shaping the future of manufacturing by enabling proactive, adaptive, and collaborative systems that prioritize both efficiency and human well-being.
Research Focus
Key Achievements
Top Papers
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- 23D printing in materials manufacturing industry: A realm of Industry 4.054 citations · 2023
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