Shaw-Han Liem

I Am Robot and Proud - Canadian musician. Article “Shaw-Han Liem” in Indonesian Wikipedia has 24.6 points for quality (as of July 1, 2025). The article contains 6 references and 8 sections.

This article has the best quality in English Wikipedia. Also, this article is the most popular in that (Indonesian) language version.

Since the creation of article “Shaw-Han Liem”, its content was written by 3 registered users of Indonesian Wikipedia and edited by 54 registered Wikipedia users in all languages.

The article is cited 2 times in Indonesian Wikipedia and cited 28 times in all languages.

The highest Authors Interest rank from 2001:

• Local (Indonesian): #11337 in February 2022
• Global: #243895 in April 2007

The highest popularity rank from 2008:

• Local (Indonesian): #181810 in December 2015
• Global: #517486 in August 2012

There are 3 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.

#	Language	Quality grade	Quality score
1	English (en) I Am Robot and Proud		26.2049
2	Indonesian (id) Shaw-Han Liem		24.6409
3	Japanese (ja) アイ・アム・ロボット・アンド・プラウド		4.1482

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

The most popular language versions of the article "Shaw-Han Liem" in all the time

#	Language	Popularity award	Relative popularity
1	English (en) I Am Robot and Proud		111 184
2	Japanese (ja) アイ・アム・ロボット・アンド・プラウド		80 049
3	Indonesian (id) Shaw-Han Liem		446

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

The most popular language versions of the article "Shaw-Han Liem" in June 2025

#	Language	Popularity award	Relative popularity
1	English (en) I Am Robot and Proud		214
2	Japanese (ja) アイ・アム・ロボット・アンド・プラウド		197
3	Indonesian (id) Shaw-Han Liem		7

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

Language versions of the article "Shaw-Han Liem" with the highest Authors Interest (number of authors). Only registered Wikipedia users were taken into account.

#	Language	AI award	Relative AI
1	English (en) I Am Robot and Proud		45
2	Japanese (ja) アイ・アム・ロボット・アンド・プラウド		6
3	Indonesian (id) Shaw-Han Liem		3

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

Language versions of the article "Shaw-Han Liem" with the highest AI in June 2025

#	Language	AI award	Relative AI
1	English (en) I Am Robot and Proud		0
2	Indonesian (id) Shaw-Han Liem		0
3	Japanese (ja) アイ・アム・ロボット・アンド・プラウド		0

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

Language versions of the article "Shaw-Han Liem" with the highest Citation Index (CI)

#	Language	CI award	Relative CI
1	English (en) I Am Robot and Proud		18
2	Japanese (ja) アイ・アム・ロボット・アンド・プラウド		8
3	Indonesian (id) Shaw-Han Liem		2

More...

#	Language	Value
en	English I Am Robot and Proud
id	Indonesian Shaw-Han Liem
ja	Japanese アイ・アム・ロボット・アンド・プラウド

Best Rank

Indonesian: #181810 12.2015

Global: #517486 08.2012

Best Rank

Indonesian: #11337 02.2022

Global: #243895 04.2007

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In Indonesian Wikipedia the most popular articles on that day were: Jeffrey Epstein, XNXX, Olimpiade Musim Dingin 2026, Kerajaan Franka, Agus Widjojo, Dharma Pongrekun, Jefri Nichol, Segitiga Bermuda, Berkas Epstein, Indonesia.

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