Predictive model of geographical origin discrimination of paper mulberry and handmade paper using ICP-AES/MS and multivariate statistical analysis
Bibliographic Data
| ID | 7843106 |
|---|---|
| Authors | In Hee Go (0000-0003-2511-1164, University of Science and Technology Beijing), Ah Hyeon Jo (National Research Institute of Cultural Heritage), Sir Lin Jeong (Fanshawe College), Tae Young Heo (0000-0002-0505-5559, Chungbuk National University), Kun Cho (0000-0003-1154-4065, Korea Basic Science Institute), Tea Ho Choi (0000-0002-9123-3947, Chungbuk National University, corresponding author) |
| Year | 2021 |
| Volume | 49 |
| Pages | 222-228 |
| Publication date | 2021-05-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Cultural Heritage (JOURNAL) |
| Journal identifiers | ISSN: 1296-2074 • E-ISSN: 1778-3674 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.culher.2020.12.004 |
| OpenAlex | W3117827434 |
| Language | EN |
| Citations received | 1 |
| References cited | 6 |
Multivariate analysis · Multivariate statistics · Statistics · Agriculture, Soil, Plant Science · Cultural Heritage Materials Analysis · Engineering · Mathematics · Wood and Agarwood Research
| Citations per year | 0.25 |
|---|---|
| Citation span | 2022 - 2022 (1) |
| Highly cited | No |