← 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
Margaret Atwood5 decades - 2
Anne Carsonnot measured- - 3
Alice Munro5 decades - 4
Lucy Maud Montgomery3 decades - 5
Phan Thị Kim Phúcnot measured- - 6
Yann Martel1 decades - 7
Robin Sharmanot measured- - 8
Brian Tracynot measured- - 9
David Shorenot measured- - 10
Michael Ondaatje5 decades - 11
Paul Haggisnot measured- - 12
Steven Eriksonnot measured- - 13
Douglas Couplandnot measured- - 14
Manly P. Hallnot measured- - 15
Roméo Dallairenot measured- - 16
Guy Gavriel Kaynot measured- - 17
Eric Bernenot measured- - 18
Louise Pennynot measured- - 19
Northrop Fryenot measured-
- 20
A. E. van Vogtnot measured- - 21
Jo Waltonnot measured- - 22
Farley Mowatnot measured- - 23Mordecai Richlernot measured-
- 24
Aimee Semple McPhersonnot measured- - 25
Dmytro Dontsovnot 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.