← Fame through time1900-1999
The 20th century
Whose names filled the books of the 20th century - anyone at all, however long dead - counted as mentions per million words printed, so a period that simply published more does not inflate anyone.
Talked about then
Whose names appeared most in Chinese books during the 20th century, whenever they lived.
- 1
Mao Zedong275 - 2
Lu Xun60 - 3
Liu Shaoqi58 - 4
Zhou Enlai55 - 5
Lin Biao40 - 6
Deng Xiaoping34 - 7
Sun Yat-sen31 - 8
Jiang Zemin13 - 9
Confucius12 - 10
Jiang Qing10 - 11
Zhu De9.6 - 12
Cao Xueqin5.9
- 13
Li Peng5.4 - 14
Lee Teng-hui5.2 - 15
Yuan Shikai5.0 - 16
Laozi4.7 - 17
Lin Yutang4.6 - 18
Soong Ching-ling4.4 - 19Gao Ming3.4
- 20
Zhuang Zhou2.8 - 21
Li Bai2.3 - 22
Kang Youwei2.3 - 23
Li Hongzhang2.0 - 24Wang Chong1.9
- 25
Wang Anshi1.7
Lived then
The most notable people whose working lives fell in the 20th century, ranked where coverage and readership agree.
- 1
Pierre Trudeau6 decades - 2
Stephen Harper2 decades - 3
Jean Chrétien8 decades - 4
Brian Mulroney4 decades - 5
Kim Campbell3 decades - 6
Lester B. Pearson8 decades - 7
Paul Martinnot measured- - 8
William Lyon Mackenzie Kingnot measured- - 9
Julie Payette0 decades - 10
Mary Simonnot measured- - 11
John Turnernot measured- - 12
Joe Clarknot measured- - 13
Jack Laytonnot measured- - 14
Louise Arbournot measured- - 15
John Diefenbaker7 decades - 16
Jean Charestnot measured- - 17
Tommy Douglasnot measured- - 18
Doug Fordnot measured- - 19
René Lévesquenot measured- - 20
Pauline Maroisnot measured- - 21
Maxime Berniernot measured- - 22
Louis St. Laurentnot measured- - 23
François Legaultnot measured- - 24
Maurice Duplessisnot measured- - 25
Adrienne Clarksonnot measured-
How to read these rankings
- Attention, not reputation. A place on these lists reflects the attention a person still draws in the public record. It is not a judgement on the life.
- Fame in print. The curves show how often a name appeared in the books of each decade from 1800 to 2019, drawn from the Google Books Ngram corpus.
- Gaps are left as gaps. Where the record is too thin to be fair, we would rather show nothing than guess.