Article detail · 2019
Hydrogen production via biomass gasification, and modeling by supervised machine learning algorithms
Journal
International Journal of Hydrogen Energy
OpenAlex
SJR Q1
JCR Q2
Citations 228
Top 10%
Percentile 97.3%
FWCI 6.04
- Year
- 2019
- Type
- article
Data source split
- YÖKSİS venue International Journal of Hydrogen Energy
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
Abstract
Abstract not compiled yet; it will appear after the DergiPark / OpenAlex queue runs.
Topics
Citations
OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.
228 citations
OpenAlex cited_by_count (cache / database)
48 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Prediction of Concrete Compressive Strength and Slump byMachine Learning Methods 2019
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- Forecasting the biomass-based energy potential using artificial intelligence and geographic information systems: A case study 2022
- Comparison of green waste gasification performance in updraft and downdraft fixed bed gasifiers 2022
- Comparison of green waste gasification performance in updraft and downdraft fixed bed gasifiers 2022
- Bayesian Hyperparameter Optimization of Machine Learning Models for Predicting Biomass Gasification Gases 2025
- Biomass driven polygeneration systems: A review of recent progress and future prospects 2023
- Biomass driven polygeneration systems: A review of recent progress and future prospects 2023
- Artificial intelligence methods for modeling gasification of waste biomass: a review 2024
- Artificial intelligence methods for modeling gasification of waste biomass: a review 2024