Deep Ng

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Deep Ng

Quality:

Deep Ng - Hong Kong actor and singer. Article “Deep Ng” in Simple English Wikipedia has 8.1 points for quality (as of July 1, 2025). The article contains 0 references and 2 sections.

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

Since the creation of article “Deep Ng”, its content was written by 10 registered users of Simple English Wikipedia and edited by 225 registered Wikipedia users in all languages.

The highest Authors Interest rank from 2001:

  • Local (Simple English): #1810 in May 2013
  • Global: #26612 in July 2007

The highest popularity rank from 2008:

  • Local (Simple English): #13138 in August 2008
  • Global: #56215 in January 2024

There are 8 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)
吳浩康
41.5767
2Arabic (ar)
عميق نج
22.6199
3English (en)
Deep Ng
19.2287
4Spanish (es)
Deep Ng
14.1321
5Simple English (simple)
Deep Ng
8.0641
6Indonesian (id)
Deep Ng
7.7855
7Japanese (ja)
ディープ・ン
5.9601
8Korean (ko)
오호강
2.6739
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 "Deep Ng" in all the time
#LanguagePopularity awardRelative popularity
1Chinese (zh)
吳浩康
810 208
2English (en)
Deep Ng
185 652
3Japanese (ja)
ディープ・ン
15 011
4Simple English (simple)
Deep Ng
5 228
5Indonesian (id)
Deep Ng
4 895
6Korean (ko)
오호강
1 854
7Spanish (es)
Deep Ng
1 274
8Arabic (ar)
عميق نج
295
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 "Deep Ng" in June 2025
#LanguagePopularity awardRelative popularity
1Chinese (zh)
吳浩康
3 380
2English (en)
Deep Ng
464
3Japanese (ja)
ディープ・ン
95
4Simple English (simple)
Deep Ng
22
5Indonesian (id)
Deep Ng
9
6Korean (ko)
오호강
9
7Arabic (ar)
عميق نج
8
8Spanish (es)
Deep Ng
6
More...

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

The highest AI

Language versions of the article "Deep Ng" with the highest Authors Interest (number of authors). Only registered Wikipedia users were taken into account.
#LanguageAI awardRelative AI
1Chinese (zh)
吳浩康
121
2English (en)
Deep Ng
70
3Japanese (ja)
ディープ・ン
12
4Simple English (simple)
Deep Ng
10
5Indonesian (id)
Deep Ng
6
6Spanish (es)
Deep Ng
3
7Korean (ko)
오호강
2
8Arabic (ar)
عميق نج
1
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 "Deep Ng" with the highest AI in June 2025
#LanguageAI awardRelative AI
1Arabic (ar)
عميق نج
0
2English (en)
Deep Ng
0
3Spanish (es)
Deep Ng
0
4Indonesian (id)
Deep Ng
0
5Japanese (ja)
ディープ・ン
0
6Korean (ko)
오호강
0
7Simple English (simple)
Deep Ng
0
8Chinese (zh)
吳浩康
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 "Deep Ng" with the highest Citation Index (CI)
#LanguageCI awardRelative CI
1Chinese (zh)
吳浩康
901
2English (en)
Deep Ng
57
3Indonesian (id)
Deep Ng
44
4Japanese (ja)
ディープ・ン
39
5Spanish (es)
Deep Ng
5
6Korean (ko)
오호강
3
7Arabic (ar)
عميق نج
2
8Simple English (simple)
Deep Ng
0
More...

Scores

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

Quality measures

Interwikis

#LanguageValue
arArabic
عميق نج
enEnglish
Deep Ng
esSpanish
Deep Ng
idIndonesian
Deep Ng
jaJapanese
ディープ・ン
koKorean
오호강
simpleSimple English
Deep Ng
zhChinese
吳浩康

Popularity rank trends

Best Rank Simple English:
#13138
08.2008
Global:
#56215
01.2024

AI rank trends

Best Rank Simple English:
#1810
05.2013
Global:
#26612
07.2007

Local AI rank history

Languages comparison

Important global interconnections (July 2024 – June 2025)

Wikipedia readers most often find their way to information on Deep Ng from Wikipedia articles about Nancy Wu, New Police Story, Sherman Chung, Emperor Entertainment Group and Jacquelin Chng. Whereas reading the article about Deep Ng people most often go to Wikipedia articles on Margiela K, Sherman Chung, Nancy Wu, Jacquelin Chng and Alex Lam.

Cumulative results of quality and popularity of the Wikipedia article

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

simple: Deep Ng

News from 21 December 2025

On 21 December 2025 in multilingual Wikipedia, Internet users most often read articles on the following topics: Jeffrey Epstein, Anthony Joshua, James Ransone, Avatar: Fire and Ash, Jake Paul, Wake Up Dead Man, Stranger Things, Ghislaine Maxwell, Avatar, Avatar: The Way of Water.

In Simple English Wikipedia the most popular articles on that day were: List of European countries, XXXTentacion, President of the Government of Morocco, Michigan Auto Law, New York, I Love You, Andrew Tate, Manon Bannerman, The Dark Knight Trilogy, Black, List of sex positions.

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