Article “Triển lãm Quốc phòng quốc tế Việt Nam 2022” in Vietnamese Wikipedia has 58.9 points for quality (as of July 1, 2025). The article contains 42 references and 10 sections.
Since the creation of article “Triển lãm Quốc phòng quốc tế Việt Nam 2022”, its content was written by 9 registered users of Vietnamese Wikipedia and edited by 9 registered Wikipedia users in all languages.
The article is cited 18 times in Vietnamese Wikipedia and cited 18 times 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: #7620 12.2024 |
Global: #966611 12.2024 |
On 9 December 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Stranger Things, 2026 FIFA World Cup, Lando Norris, Millie Bobby Brown, Sean Combs, It: Welcome to Derry, ChatGPT, Zootopia 2, deaths in 2025, Cassie Ventura.
In Vietnamese Wikipedia the most popular articles on that day were: Đài Truyền hình Kỹ thuật số VTC, Thương Tín (diễn viên), Vụ giết người Nguyễn Xuân Đạt, Vụ án Hồ Duy Hải, Johnathan Hạnh Nguyễn, Văn Miếu – Quốc Tử Giám, Biến đổi khí hậu ở Việt Nam, Nỗi buồn chiến tranh, Đại hội Thể thao Đông Nam Á 2025, Mưa đỏ (phim).
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(20.52+23.73+100+50+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
