Mount Liang

en

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Mount Liang

Quality:

Mount Liang - mountain in Liangshan County, Shandong, China. Article “Mount Liang” in English Wikipedia has 9.9 points for quality (as of July 1, 2025). The article contains 2 references and 3 sections. The article also contains templates indicating quality issues, therefore its score was reduced by 0.52 points.

This article has the best quality in Chinese Wikipedia. However, the most popular language version of this article is Japanese.

Since the creation of article “Mount Liang”, its content was written by 36 registered users of English Wikipedia and edited by 113 registered Wikipedia users in all languages.

The article is cited 141 times in English Wikipedia and cited 673 times in all languages.

The highest Authors Interest rank from 2001:

  • Local (English): #73884 in October 2004
  • Global: #85090 in March 2004

The highest popularity rank from 2008:

  • Local (English): #514333 in October 2022
  • Global: #70179 in October 2022

There are 7 language versions 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).

The table below shows the language versions of the article with the highest quality.

Languages with the highest quality

#LanguageQuality gradeQuality score
1Chinese (zh)
梁山泊
28.0148
2English (en)
Mount Liang
9.8983
3Korean (ko)
양산박
6.6444
4French (fr)
Mont Liang
4.2684
5Japanese (ja)
梁山泊
2.792
6Vietnamese (vi)
Lương Sơn Bạc
1.2462
7Norwegian (no)
Liang Shan
0.3547
More...

The following table shows the most popular language versions of the article.

Most popular in all the time

The most popular language versions of the article "Mount Liang" in all the time
#LanguagePopularity awardRelative popularity
1Japanese (ja)
梁山泊
1 403 263
2Vietnamese (vi)
Lương Sơn Bạc
183 817
3Chinese (zh)
梁山泊
157 617
4English (en)
Mount Liang
127 566
5Korean (ko)
양산박
78 848
6French (fr)
Mont Liang
1 769
7Norwegian (no)
Liang Shan
1 380
More...

The following table shows the language versions of the article with the highest popularity in the last month.

Most popular in June 2025

The most popular language versions of the article "Mount Liang" in June 2025
#LanguagePopularity awardRelative popularity
1Japanese (ja)
梁山泊
5 363
2English (en)
Mount Liang
1 356
3Chinese (zh)
梁山泊
1 060
4Vietnamese (vi)
Lương Sơn Bạc
836
5Korean (ko)
양산박
273
6French (fr)
Mont Liang
19
7Norwegian (no)
Liang Shan
18
More...

The following table shows the language versions of the article with the highest Authors’ Interest.

The highest AI

Language versions of the article "Mount Liang" with the highest Authors Interest (number of authors). Only registered Wikipedia users were taken into account.
#LanguageAI awardRelative AI
1English (en)
Mount Liang
36
2Japanese (ja)
梁山泊
21
3Vietnamese (vi)
Lương Sơn Bạc
18
4Korean (ko)
양산박
13
5Chinese (zh)
梁山泊
11
6Norwegian (no)
Liang Shan
9
7French (fr)
Mont Liang
5
More...

The following table shows the language versions of the article with the highest Authors’ Interest in the last month.

The highest AI in June 2025

Language versions of the article "Mount Liang" with the highest AI in June 2025
#LanguageAI awardRelative AI
1English (en)
Mount Liang
0
2French (fr)
Mont Liang
0
3Japanese (ja)
梁山泊
0
4Korean (ko)
양산박
0
5Norwegian (no)
Liang Shan
0
6Vietnamese (vi)
Lương Sơn Bạc
0
7Chinese (zh)
梁山泊
0
More...

The following table shows the language versions of the article with the highest number of citations.

The highest CI

Language versions of the article "Mount Liang" with the highest Citation Index (CI)
#LanguageCI awardRelative CI
1Japanese (ja)
梁山泊
206
2English (en)
Mount Liang
141
3Chinese (zh)
梁山泊
110
4Korean (ko)
양산박
104
5Vietnamese (vi)
Lương Sơn Bạc
99
6French (fr)
Mont Liang
9
7Norwegian (no)
Liang Shan
4
More...

Scores

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

Quality measures

Interwikis

#LanguageValue
enEnglish
Mount Liang
frFrench
Mont Liang
jaJapanese
梁山泊
koKorean
양산박
noNorwegian
Liang Shan
viVietnamese
Lương Sơn Bạc
zhChinese
梁山泊

Popularity rank trends

Best Rank English:
#514333
10.2022
Global:
#70179
10.2022

AI rank trends

Best Rank English:
#73884
10.2004
Global:
#85090
03.2004

Languages comparison

Important global interconnections (July 2024 – June 2025)

Wikipedia readers most often find their way to information on Mount Liang from Wikipedia articles about Water Margin, 108 Stars of Destiny, Song Jiang, Yoshirō Mori and Lin Chong. Whereas reading the article about Mount Liang people most often go to Wikipedia articles on Water Margin, Wikipedia article, 108 Stars of Destiny, Song Jiang and Marsh.

Cumulative results of quality and popularity of the Wikipedia article

List of Wikipedia articles in different languages (starting with the most popular):

News from 28 January 2026

On 28 January 2026 in multilingual Wikipedia, Internet users most often read articles on the following topics: 2025–26 UEFA Champions League, Nipah virus, Doomsday Clock, UEFA Champions League, Elena Rybakina, Donald Trump, 2026 European Men's Handball Championship, killing of Alex Pretti, Kristi Noem, deaths in 2026.

In English Wikipedia the most popular articles on that day were: Ajit Pawar, Border 2, Sharad Pawar, Killing of Alex Pretti, Ilhan Omar, Sunetra Pawar, Todd Monken, Kristi Noem, Wonder Man (miniseries), Gregory Bovino.

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