Article detail · 2025 · article
Experimental and machine learning-based investigation of additively manufactured PCM encapsulation geometries for enhanced thermal and electrical performance in battery thermal management system
Journal
Applied Thermal Engineering
ISSN1359-4311
YÖKSİS
OpenAlex
Top 10%
Year2025
Citations12OpenAlex
Citations14Semantic Scholar
Percentile%92.8
FWCI3.321.00 = world average
Scopus (SJR)Q1
WoS (JCR)Q1
Data source split
- YÖKSİSYÖKSİS article record
- YÖKSİS venueApplied Thermal Engineering
- Catalog match (ISSN)Applied Thermal Engineering
- OpenAlexOpenAlex enrichment (abstract, citations, topics)
- Semantic Scholarcitation count (not merged with OpenAlex)
Abstract
Abstract not compiled yet; it will appear after the DergiPark / OpenAlex queue runs.
Topics
Citations
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12citationsOpenAlex · cited_by_count (cache / database)
3 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- 2026 Simulation-based and explainable machine learning analysis of a hybrid PCM–air BTMS at high discharge ratesCitations 0 · OpenAlex
- 2026 Simulation-based and explainable machine learning analysis of a hybrid PCM–air BTMS at high discharge ratesCitations 0 · OpenAlex
- 2026 Simulation-based and explainable machine learning analysis of a hybrid PCM–air BTMS at high discharge ratesCitations 0 · OpenAlex