Wang Yansheng - Norwegian table tennis player. Article "Wang Yansheng" in German Wikipedia has 29.1 points for quality (as of August 1, 2024). The article contains 15 references and 3 sections.
Since the creation of article "Wang Yansheng", its content was written by 12 registered users of German Wikipedia and edited by 12 registered Wikipedia users in all languages.
The article is cited 11 times in German Wikipedia and cited 11 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 August 1, 2024 (including revision history and pageviews for previous years).
| Best Rank | German: #425094 11.2021 |
Global: #3406184 11.2021 |
| Best Rank | German: #7736 11.2014 |
Global: #140597 11.2014 |
On 5 January 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Squid Game, Squid Game, season 2, Avicii, Nosferatu, Epiphany, human metapneumovirus, Jimmy Carter, Elon Musk, Jeff Baena, Aubrey Plaza.
In German Wikipedia the most popular articles on that day were: Der Gesang der Flusskrebse, Der Gesang der Flusskrebse (Film), Christian Stocker, Levi Strauss, Avicii, Ottilie von Faber-Castell, Squid Game, Herbert Kickl, Liste der größten Auslegerbrücken, Out of Sight.
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 August, 2024. When calculating current popularity and AI of articles data from July 2024 was taken into account. For historical values of popularity and AI WikiRank used data from 2001 to 2023... More information
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(9.39+21.74+0+14.29+100)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
