SCOPUSESCIQ2
Digital Chemical Engineering
Elsevier, ENGLAND
Journal profile
- CiteScore
- 6.00
- Scopus citation metric
- Percentage rank
- 66.0%
- JIF percentile rank
- SJR
- 0.706
- SCImago rank
- SNIP
- 1.13
- Source normalized impact
- ISSN
- 2772-5081
- Publisher
- Elsevier
- eISSN
- 2772-5081
- Country
- ENGLAND
- Abbreviation
- Digit. Chem. Eng.
- Languages
- ENGLISH
- Index coverage
- SCOPUS, ESCI
- Overall rank
- -
- Web of Science categories
- ESCI · ENGINEERING, CHEMICAL
- JCI
- 0.60
- Scopus ASJC categories
- 1501, 2201 Engineering (miscellaneous)
- Keywords
- Engineering (miscellaneous), Engineering, Chemical, Engineering
Digital Chemical Engineering is an academic journal published by Elsevier (ENGLAND). Identifiers: ISSN 2772-5081, eISSN 2772-5081. Indexed in SCOPUS, ESCI. Metrics: JIF 4.1, CiteScore 6.0, SJR 0.706, SNIP 1.13. JIF percentile 66.0% in its primary Web of Science category. Subject areas: ENGINEERING, CHEMICAL.
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Articles published in this journal
Recent papers
- Beyond black-box models: Measuring physics-driven and data-driven contributions in hybrid process models
2026
- Data-driven safety analytics for dust explosion prevention
2026
- Artificial Intelligence (AI) Safety System for Safe & Trustworthy Autonomy
2026 · 2 citations
- Fuel cell digital twin for remaining useful lifetime prediction and optimisation based on physics-guided neural network
2026
- A CFD-based digital twin framework for transient MoCl5 transport in an experimental atomic layer deposition process
2026 · 1 citations
Most cited papers
- Air Quality Index prediction using machine learning for Ahmedabad city
2023 · 112 citations
- A 3-D multiphase model of proton exchange membrane electrolyzer based on open-source CFD
2021 · 86 citations
- A review and perspective on hybrid modelling methodologies
2023 · 79 citations
- Machine learning applications in biomass pyrolysis: from biorefinery to end-of-life product management
2023 · 78 citations
- Hyperparameter optimization strategies for machine learning-based stochastic energy efficient scheduling in cyber-physical production systems
2022 · 63 citations