Article detail · 2025 · article
Prediction of Biocrude Oil Yield From Biomass Hydrothermal Liquefaction Via Interpretable Machine Learning Using Higher Heating Value and Process Parameters
Journal
Bioenergy Research
ISSN1939-1234
YÖKSİS
OpenAlex
SJR Q1
JCR Q3
Year2025
Citations4OpenAlex
Percentile%77.7
FWCI1.181.00 = world average
Scopus (SJR)Q1
WoS (JCR)Q3
Data source split
- YÖKSİSYÖKSİS article record
- YÖKSİS venueBioEnergy Research
- Catalog match (ISSN)Bioenergy Research
- OpenAlexOpenAlex enrichment (abstract, citations, topics)
Abstract
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Topics
Citations
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4citationsOpenAlex · cited_by_count (cache / database)
2 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- 2026 Beyond Elemental Composition: Leveraging Fuel Classification Systems for Robust Machine Learning-Based Higher Heating Value PredictionCitations 1 · OpenAlex
- 2026 Using Machine Learning to Predic Bio-Oil and Hydrogen-Rich Gas Production in Integrated Pyrolysis–SER Systems with Aspen Plus ModelingCitations 0 · OpenAlex