Machine Learning Assisted Analysis of Relationships between Trans Fatty Acid Content and Fatty Acid Composition in Vegetable Oils and Margarines

Authors

Institutions

Publication Details

Journal
The Japanese Journal of Nutrition and Dietetics
Published
2025-10-01
DOI
https://doi.org/10.5264/eiyogakuzashi.83.185
Primary Topic
Edible Oils Quality and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Machine Learning Assisted Analysis of Relationships between Trans Fatty Acid Content and Fatty Acid Composition in Vegetable Oils and Margarines

Koji Igarashi, Kazue Nakane, Hiroyuki Takeuchi, Kyosuke Fujita
The Japanese Journal of Nutrition and Dietetics
Edible Oils Quality and Analysis
article

Machine Learning Assisted Analysis of Relationships between Trans Fatty Acid Content and Fatty Acid Composition in Vegetable Oils and Margarines

Koji Igarashi, Kazue Nakane, Hiroyuki Takeuchi, Kyosuke Fujita
article en

Abstract

No abstract available for this paper.
The Japanese Journal of Nutrition and DieteticsVol. 83(5)
Toyama College (JP)
Openalex Percentile: Top 74%
Edible Oils Quality and Analysis
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Machine Learning Assisted Analysis of Relationships between Trans Fatty Acid Content and Fatty Acid Composition in Vegetable Oils and Margarines — Koji Igarashi, Kazue Nakane, et al. · The Japanese Journal of Nutrition and Dietetics (2025) | TGRS Research Map | TGRS