Article detail · 2021
Experimental investigation and prediction of performance and emission responses of a CI engine fuelled with different metal-oxide based nanoparticles-diesel blends using different machine learning algorithms
Journal
EnergyISSN 1754-9957
The ISSN points to another catalog journal; the name is from the YÖKSİS record.
YÖKSİS
OpenAlex
Open access · green
SJR Q1
JCR Q4
Citations 135
Top 1%
Percentile 99.3%
FWCI 9.13
- Year
- 2021
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Energy
- Catalog match (ISSN) Journal of World Energy Law and Business
- 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.
135 citations
OpenAlex cited_by_count (cache / database)
79 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
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- A review of stability, thermophysical properties and impact of using nanofluids on the performance of refrigeration systems 2021
- Effects of high-dosage copper oxide nanoparticles addition in diesel fuel on engine characteristics 2021
- Effects of high-dosage copper oxide nanoparticles addition in diesel fuel on engine characteristics 2021
- Effects of high-dosage copper oxide nanoparticles addition in diesel fuel on engine characteristics 2021
- Understanding behaviors of compression ignition engine running on metal nanoparticle additives-included fuels: A control comparison between biodiesel and diesel fuel 2023