Autographa ypsilon - species of insect. Article “Autographa ypsilon” in Vietnamese Wikipedia has 18.3 points for quality (as of July 1, 2025). The article contains 2 references and 2 sections.
Since the creation of article “Autographa ypsilon”, its content was written by 2 registered users of Vietnamese Wikipedia and edited by 2 registered Wikipedia users in all languages.
The highest Authors Interest rank from 2001:
The highest popularity rank from 2008:
There is 1 language version for this article in the WikiRank database (of the considered 55 Wikipedia language editions).
The quality and popularity assessment was based on Wikipédia dumps from July 1, 2025 (including revision history and pageviews for previous years).
| Best Rank | Vietnamese: #196349 06.2017 |
Global: #9822268 07.2015 |
| Best Rank | Vietnamese: #40963 05.2023 |
Global: #1006801 06.2014 |
On 21 February 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Jeffrey Epstein, Alysa Liu, Eric Dane, 2026 Winter Olympics, Rebecca Gayheart, Johannes Høsflot Klæbo, Wuthering Heights, amyotrophic lateral sclerosis, Andrew Mountbatten-Windsor, John F. Kennedy Jr..
In Vietnamese Wikipedia the most popular articles on that day were: Đài Truyền hình Kỹ thuật số VTC, Thỏ ơi!!, Xì dách, Tô Lâm, Bài Tiến lên, Lyly, Fukada Eimi, Danh sách phim điện ảnh Việt Nam có doanh thu cao nhất, Nhà ba tôi một phòng, Việt Nam.
The WikiRank project is intended for automatic relative evaluation of the articles in the various language versions of Wikipedia. At the moment the service allows to compare over 44 million Wikipedia articles in 55 languages. Quality scores of articles are based on Wikipedia dumps from July, 2025. When calculating current popularity and AI of articles data from June 2025 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2025... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(1.39+1.13+0+10+78.78)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
