Jianjing Zhang
Papers
10
Total Citations
1,013
H-Index
8
About
Jianjing Zhang is a leading researcher at the intersection of artificial intelligence, advanced manufacturing, and human-robot collaboration. His work focuses on developing intelligent systems that enable seamless, safe, and efficient interaction between humans and autonomous robots in dynamic industrial environments. Zhang’s major contributions include pioneering the use of recurrent neural networks for motion trajectory prediction in collaborative assembly, and developing transferable two-stream convolutional neural networks for human action recognition—work that has garnered over 180 and 110 citations, respectively. His highly cited 2020 review, “Artificial Intelligence in Advanced Manufacturing” (519 citations), remains a foundational reference in the field. More recently, Zhang has advanced vision AI and large language models to drive scene understanding, natural language instruction following, and robust human-robot collaboration, with several 2024 publications already accumulating significant attention. His research on data-driven adaptive control in robotic welding and human-centric smart manufacturing further underscores his impact. With over 1,000 total citations, Zhang is shaping the future of intelligent, human-aware automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9Human Motion Recognition and Prediction for Robot Control7 citations · 2021
- 10Human-centric systems in smart manufacturing5 citations · 2024