Quang Hán - rural commune of Vietnam. Article “Quang Hán” in Vietnamese Wikipedia has 25.8 points for quality (as of July 1, 2025). The article contains 7 references and 5 sections.
Since the creation of article “Quang Hán”, its content was written by 14 registered users of Vietnamese Wikipedia and edited by 14 registered Wikipedia users in all languages.
The article is cited 30 times in Vietnamese Wikipedia and cited 30 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: #54449 04.2021 |
Global: #3881918 09.2021 |
On 3 January 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: Nicolás Maduro, Venezuela, Hugo Chávez, Cilia Flores, Delcy Rodríguez, 1st Special Forces Operational Detachment-Delta, Stranger Things, 2026 United States strikes in Venezuela, Manuel Noriega, María Corina Machado.
In Vietnamese Wikipedia the most popular articles on that day were: Venezuela, Đài Truyền hình Kỹ thuật số VTC, Nicolás Maduro, XHamster, Việt Nam, Hugo Chávez, Vụ giết người và phân xác ở Lạng Sơn 2025, Cách em 1 milimet, Đài Truyền hình Việt Nam, Avatar 3.
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(5+3.95+18.18+25+76.81)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
