Statistical Modeling in Chemical Engineering
This research sub-field focuses on the application of mathematical models and statistical techniques to optimize chemical engineering processes. It encompasses computer-aided methods for modeling and controlling chemical reactions and processes using multivariate statistical approaches.
56,593 papers
Parent topic: Chemical and Material Sciences
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Sub-topics
AI-Enhanced Chemical Process Modeling
This research cluster focuses on the application of artificial intelligence and computer-aided techniques to model and optimize chemical processes. It includes advancements in computational methods that enhance the efficiency and accuracy of chemical engineering methodologies.
7818 papers
Advanced Multivariate Process Control
This cluster is dedicated to the development and application of multivariate statistical methods for controlling and monitoring chemical engineering processes. It emphasizes the use of statistical techniques to analyze complex, interdependent process variables in real-time.
5248 papers
Papers Over Time
Top Papers
1951 · 10,935 citations
1989 · 5,693 citations
2008 · 4,473 citations
1990 · 3,560 citations
1984 · 3,024 citations
2007 · 2,401 citations
2018 · 2,048 citations
2012 · 1,850 citations
2017 · 1,845 citations
2002 · 1,777 citations
2013 · 1,729 citations
1983 · 1,652 citations
2007 · 1,648 citations
1993 · 1,612 citations
2016 · 1,492 citations
1989 · 1,448 citations
2012 · 1,442 citations
2001 · 1,415 citations
2009 · 1,414 citations