Article “The Literary Mind and the Carving of Dragons: A Study of Thought and Pattern in Chinese Literature” in Chinese Wikipedia has 41.3 points for quality (as of July 1, 2025). The article contains 17 references and 8 sections.
Since the creation of article “The Literary Mind and the Carving of Dragons: A Study of Thought and Pattern in Chinese Literature”, its content was written by 6 registered users of Chinese Wikipedia and edited by 6 registered Wikipedia users in all languages.
The article is cited 42 times in Chinese Wikipedia and cited 42 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 | Chinese: #37449 06.2025 |
Global: #843138 06.2025 |
| Best Rank | Chinese: #2129 04.2022 |
Global: #154802 04.2022 |
On 7 October 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Ed Gein, Ilse Koch, Lizzie Borden, Anthony Perkins, Monster: The Ed Gein Story, Greta Thunberg, Richard Speck, Psycho, ChatGPT, Charlie Hunnam.
In Chinese Wikipedia the most popular articles on that day were: 顏正國, 譚至剛, 高市早苗, 關淑怡, 左孝虎, 許願吧，精靈, 好小子 (1986年電影), 许我耀眼, 陳崇榮, 風林火山 (2025年電影).
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
$$Quality=1/c∑↙{i=1}↖c nm_i-RS=1/5(27.87+16.83+33.33+66.67+61.82)$$
where:
The results of the calculations may be slightly different because of rounded values of normalized metrics in formulas
