Signal Processing For Process Analysis
Signal Processing for Process Analysis is a methodological framework within process analytical chemistry that enables the transformation, interpretation, and extraction of meaningful chemical information from raw sensor data through mathematical and computational techniques tailored to real-time monitoring and control of dynamic processes.
74
Publications
3.2K
Citations
220
Authors
89
Institutions
Publications per year
2017–2026
29
Parents
74
Niranjan Sitapure, Joseph Sang‐Il Kwon · Process Safety and Environmental Protection · 2023 · 119 citations
1–5 of 74
220
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89
East China University of Science and Technology
Shanghai, China
7 h-index
21 publications
485 citations
State Key Laboratory of Industrial Control Technology
Hangzhou, China
4 h-index
10 publications
404 citations
Ministry of Education of the People's Republic of China
Beijing, China
3 h-index
10 publications
447 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
3 h-index
3 publications
64 citations

Beijing University of Chemical Technology
Beijing, China
3 h-index
10 publications
447 citations
Badji Mokhtar-Annaba University
Annaba, Algeria
3 h-index
7 publications
323 citations

Beijing University of Technology
Beijing, China
2 h-index
6 publications
212 citations

Northeastern University
Shenyang, China
2 h-index
6 publications
156 citations
1–8 of 89
9 publications · 479 citations
9
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6 publications · 237 citations
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5 publications · 186 citations
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5 publications · 622 citations
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4 publications · 222 citations
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1–5