ruc.edu.cn

Renmin University of China, often referred to as RUC, or colloquially Renda, is a research university located in Haidian District of Beijing. RUC is classified as a Class A university under the Double First Class University Plan and is generally considered one of the premier universities in the country. It is also funded by Project 985 and by Project 211. More information...

Multilingual Wikipedia

In June 2020 the website ruc.edu.cn was on the 42,186th place in the ranking of the most reliable and popular sources in multilingual Wikipedia from readers' point of view (PR-score). If we consider only frequency of appearance of this source in references of Wikipedia articles (F-score), this website was on the 35,863rd place in June 2020. From Wikipedians' point of view, "ruc.edu.cn" is the 42,928th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before livestory.com.ua and after qppstudio.net in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
42,186th place
541,226
-93,167
AR-score:
42,928th place
74,480
+2,246
F-score:
35,863rd place
262
+13

Chinese Wikipedia (zh)

PR-score:
2,483rd place
404,609
-92,680
AR-score:
1,775th place
46,871
+1,937
F-score:
2,019th place
179
+4

English Wikipedia (en)

PR-score:
117,120th place
77,254
-6,711
AR-score:
67,892nd place
17,900
+37
F-score:
59,713th place
44
+1

Japanese Wikipedia (ja)

PR-score:
25,622nd place
44,262
+4,311
AR-score:
20,696th place
4,824
+59
F-score:
46,378th place
7
0

Russian Wikipedia (ru)

PR-score:
95,998th place
8,425
+2,850
AR-score:
108,566th place
925
0
F-score:
175,259th place
2
0

German Wikipedia (de)

PR-score:
153,214th place
3,848
-522
AR-score:
125,359th place
1,600
+10
F-score:
75,030th place
6
+2

Indonesian Wikipedia (id)

PR-score:
47,543rd place
399
+399
AR-score:
45,114th place
199
+199
F-score:
17,158th place
6
+6
Show all Wikipedia languages...

BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...