虹口区各级文物保护单位列表

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WikiRank.net
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虹口区各级文物保护单位列表

Quality:

Article “虹口区各级文物保护单位列表” in Chinese Wikipedia has 34.4 points for quality (as of July 1, 2025). The article contains 3 references and 4 sections.

Since the creation of article “虹口区各级文物保护单位列表”, its content was written by 4 registered users of Chinese Wikipedia.

The article is cited 17 times in Chinese Wikipedia.

The highest Authors Interest rank from 2001:

  • Local (Chinese): #83511 in April 2024

The highest popularity rank from 2008:

  • Local (Chinese): #360849 in December 2021

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).

Scores

Estimated value for Wikipedia:
Chinese:
Global:
Popularity in June 2025:
Chinese:
Popularity in all years:
Chinese:
Authors in June 2025:
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Registered authors in all years:
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Citations:
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Quality measures

Popularity rank trends

Best Rank Chinese:
#360849
12.2021

AI rank trends

Best Rank Chinese:
#83511
04.2024

News from 27 November 2025

On 27 November 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Stranger Things, Thanksgiving, Stranger Things, season 5, Millie Bobby Brown, Hong Kong, Guinea-Bissau, Zootopia 2, ChatGPT, Wang Fuk Court fire, deaths in 2025.

In Chinese Wikipedia the most popular articles on that day were: 宏福苑大火, 香港火災列表, 嘉利大廈大火, 徐勤先, 龍虎風雲, 感恩节, 上海“11·15”特别重大火灾, 嘉禾大廈大火, 廣福邨, 跑馬地馬場大火.

About WikiRank

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