齊柏林 (臺灣)

Quality:

Chi Po-lin - Taiwanese documentary filmmaker, photographer and environmentalist (1964-2017). Article “齊柏林 (臺灣)” in Chinese Wikipedia has 90.9 points for quality (as of July 1, 2025). The article contains 103 references and 14 sections. The article also contains templates indicating quality issues, therefore its score was reduced by 4.78 points.

In this language version of Wikipedia the article has the best quality. Also, this article is the most popular in that (Chinese) language version.

Since the creation of article “齊柏林 (臺灣)”, its content was written by 115 registered users of Chinese Wikipedia (6913^th place) and edited by 158 registered Wikipedia users in all languages.

The article is cited 166 times in Chinese Wikipedia and cited 187 times in all languages.

The highest Authors Interest rank from 2001:

• Local (Chinese): #10 in June 2017
• Global: #832 in June 2017

The highest popularity rank from 2008:

• Local (Chinese): #11 in June 2017
• Global: #2082 in June 2017

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.

#	Language	Quality grade	Quality score
1	Chinese (zh) 齊柏林 (臺灣)		90.9132
2	English (en) Chi Po-lin		36.0802
3	Hungarian (hu) Chi Po-lin		32.3249
4	Simple English (simple) Chi Po-lin		29.1095
5	Russian (ru) Ци Болинь		17.0197
6	Min Nan (zhminnan) Chê Pek-lîm		3.8735
7	Korean (ko) 치보린		3.8022

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

#	Language	Popularity award	Relative popularity
1	Chinese (zh) 齊柏林 (臺灣)		1 024 853
2	English (en) Chi Po-lin		44 624
3	Russian (ru) Ци Болинь		3 691
4	Simple English (simple) Chi Po-lin		1 152
5	Hungarian (hu) Chi Po-lin		1 108
6	Min Nan (zhminnan) Chê Pek-lîm		219
7	Korean (ko) 치보린		145

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

#	Language	Popularity award	Relative popularity
1	Chinese (zh) 齊柏林 (臺灣)		4 244
2	English (en) Chi Po-lin		243
3	Hungarian (hu) Chi Po-lin		13
4	Russian (ru) Ци Болинь		12
5	Min Nan (zhminnan) Chê Pek-lîm		11
6	Korean (ko) 치보린		9
7	Simple English (simple) Chi Po-lin		7

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

#	Language	AI award	Relative AI
1	Chinese (zh) 齊柏林 (臺灣)		115
2	English (en) Chi Po-lin		19
3	Hungarian (hu) Chi Po-lin		7
4	Russian (ru) Ци Болинь		7
5	Simple English (simple) Chi Po-lin		5
6	Min Nan (zhminnan) Chê Pek-lîm		3
7	Korean (ko) 치보린		2

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

#	Language	AI award	Relative AI
1	English (en) Chi Po-lin		0
2	Hungarian (hu) Chi Po-lin		0
3	Korean (ko) 치보린		0
4	Russian (ru) Ци Болинь		0
5	Simple English (simple) Chi Po-lin		0
6	Chinese (zh) 齊柏林 (臺灣)		0
7	Min Nan (zhminnan) Chê Pek-lîm		0

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

On 12 August 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Cristiano Ronaldo, Wednesday, Georgina Rodríguez, ChatGPT, Weapons, Jenna Ortega, deaths in 2025, Taylor Swift, Miguel Uribe Turbay, 2025–26 UEFA Champions League.

In Chinese Wikipedia the most popular articles on that day were: 朱由𣜬, 林岱樺, 林逸欣, 江油未成年人欺凌事件, 鬼滅之刃, 黃士修, 鬼滅之刃角色列表, 锦月如歌, 2025年亞洲盃籃球賽, 鬼滅之刃劇場版 無限城篇.

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