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About the database ScholarIQanswers from OpenAlex & ORCID
How has Peng Wang's publication output changed over time?
ScholarIQpublication output · 2015–2023
Output grew0% over the shown period — from 1 works in 2015 to 1 in 2023.
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2015201720182019202020212023
What are the most-cited papers on Peng Wang?
ScholarIQmost cited works
Comparative analysis of image classification algorithms based on traditional machine learning and deep learning
Pin Wang, En Fan, Peng Wang
S151820558. 2020837 Citations
Digital Twin for Human-Robot Interactive Welding and Welder Behavior Analysis
Qiyue Wang, Wenhua Jiao, Peng Wang, Yuming Zhang
IEEE/CAA Journal of Automatica Sinica. 2020166 Citations
A deep learning-enhanced Digital Twin framework for improving safety and reliability in human–robot collaborative manufacturing
Shenglin Wang, Jingqiong Zhang, Peng Wang, James Law, Radu Călinescu, Lyudmila Mihaylova
Robotics and Computer-Integrated Manufacturing. 2023153 CitationsOPEN ACCESS
An online model-based method for state of energy estimation of lithium-ion batteries using dual filters
Guangzhong Dong, Zonghai Chen, Jingwen Wei, Chenbin Zhang, Peng Wang
S177147899. 2015138 Citations
Process modeling in laser powder bed fusion towards defect detection and quality control via machine learning: The state-of-the-art and research challenges
Peng Wang, Yiran Yang, Narges Shayesteh Moghaddam
S120037611. 2021125 Citations
Related on ScholarIQ
University of Science and Technology of China
Institution
Comparative analysis of image classification algorithms based on traditional machine learning and deep learning
Paper
Digital Twin for Human-Robot Interactive Welding and Welder Behavior Analysis
Paper
A deep learning-enhanced Digital Twin framework for improving safety and reliability in human–robot collaborative manufacturing
Paper
An online model-based method for state of energy estimation of lithium-ion batteries using dual filters
Paper
Process modeling in laser powder bed fusion towards defect detection and quality control via machine learning: The state-of-the-art and research challenges
Paper