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About the database ScholarIQanswers from OpenAlex & ORCID
How has Weiwei Qian's publication output changed over time?
ScholarIQpublication output · 2020–2025
Output grew500% over the shown period — from 1 works in 2020 to 6 in 2025.
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2020202220232025
What are the most-cited papers on Weiwei Qian?
ScholarIQmost cited works
Digital twin driven production progress prediction for discrete manufacturing workshop
Weiwei Qian, Yu Guo, Hao Zhang, Shaohua Huang, Litong Zhang, Hailang Zhou, Weiguang Fang, Shanshan Zha
Robotics and Computer-Integrated Manufacturing. 202256 Citations
Modelling and online training method for digital twin workshop
Litong Zhang, Yu Guo, Weiwei Qian, Weili Wang, Daoyuan Liu, Sai Liu
International Journal of Production Research. 202247 Citations
Towards discrete manufacturing workshop-oriented digital twin model: Modeling, verification and evolution
Weiwei Qian, Yu Guo, Litong Zhang, Shengbo Wang, Shaohua Huang, Sai Geng
Journal of Manufacturing Systems. 202336 Citations
Digital twin driven dynamic scheduling of discrete manufacturing workshop with transportation resource constraint using multi-agent deep reinforcement learning
S. Geng, Shaohua Huang, Yu Guo, Weiwei Qian, Weiguang Fang, Litong Zhang, Shengbo Wang
Robotics and Computer-Integrated Manufacturing. 202517 Citations
A deep graph neural network-based link prediction model for proactive anomaly detection in discrete manufacturing workshop
Shengbo Wang, Yu Guo, Shaohua Huang, Ruixi Lai, Litong Zhang, Weiwei Qian
Journal of Manufacturing Systems. 202513 Citations
Related on ScholarIQ
Ningbo University of Technology
Institution
Digital twin driven production progress prediction for discrete manufacturing workshop
Paper
Modelling and online training method for digital twin workshop
Paper
Towards discrete manufacturing workshop-oriented digital twin model: Modeling, verification and evolution
Paper
Digital twin driven dynamic scheduling of discrete manufacturing workshop with transportation resource constraint using multi-agent deep reinforcement learning
Paper
A deep graph neural network-based link prediction model for proactive anomaly detection in discrete manufacturing workshop
Paper