Wu Youyou

1.6k total citations · 1 hit paper
8 papers, 911 citations indexed

About

Wu Youyou is a scholar working on Clinical Psychology, Sociology and Political Science and Experimental and Cognitive Psychology. According to data from OpenAlex, Wu Youyou has authored 8 papers receiving a total of 911 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Clinical Psychology, 3 papers in Sociology and Political Science and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Wu Youyou's work include Meta-analysis and systematic reviews (3 papers), Personality Traits and Psychology (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Wu Youyou is often cited by papers focused on Meta-analysis and systematic reviews (3 papers), Personality Traits and Psychology (3 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Wu Youyou collaborates with scholars based in United States, United Kingdom and Canada. Wu Youyou's co-authors include David Stillwell, Michał Kosiński, Yang Yang, Brian Uzzi, Sheena S. Iyengar, Erica R. Bailey, Sandra Matz, H. Andrew Schwartz, Nishtha Lamba and Dacher Keltner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Psychological Science.

In The Last Decade

Wu Youyou

7 papers receiving 842 citations

Hit Papers

Computer-based personality judgments are more accurate th... 2015 2026 2018 2022 2015 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Wu Youyou United States 7 360 209 167 164 156 8 911
Christa S. C. Asterhan Israel 24 333 0.9× 128 0.6× 120 0.7× 262 1.6× 131 0.8× 65 1.9k
Johannes Breuer Germany 23 1.0k 2.8× 177 0.8× 161 1.0× 348 2.1× 119 0.8× 60 1.7k
Koustuv Saha United States 23 452 1.3× 193 0.9× 349 2.1× 431 2.6× 215 1.4× 70 1.4k
Lindsay T. Graham United States 6 745 2.1× 144 0.7× 54 0.3× 135 0.8× 70 0.4× 9 1.0k
Joanne Hinds United Kingdom 11 357 1.0× 93 0.4× 100 0.6× 65 0.4× 43 0.3× 27 640
Lukasz Dziurzynski United States 7 539 1.5× 326 1.6× 573 3.4× 565 3.4× 242 1.6× 8 1.7k
Isabel M. Kloumann United States 7 313 0.9× 53 0.3× 363 2.2× 207 1.3× 148 0.9× 10 1.1k
Nicole L. Muscanell United States 13 944 2.6× 199 1.0× 50 0.3× 206 1.3× 84 0.5× 22 1.4k
Ilan Fischer Israel 11 286 0.8× 108 0.5× 95 0.6× 143 0.9× 63 0.4× 27 1.1k
Mike Friedman United States 12 642 1.8× 215 1.0× 172 1.0× 432 2.6× 72 0.5× 20 1.1k

Countries citing papers authored by Wu Youyou

Since Specialization
Citations

This map shows the geographic impact of Wu Youyou's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wu Youyou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wu Youyou more than expected).

Fields of papers citing papers by Wu Youyou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wu Youyou. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wu Youyou. The network helps show where Wu Youyou may publish in the future.

Co-authorship network of co-authors of Wu Youyou

This figure shows the co-authorship network connecting the top 25 collaborators of Wu Youyou. A scholar is included among the top collaborators of Wu Youyou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Wu Youyou. Wu Youyou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Youyou, Wu, Yang Yang, & Brian Uzzi. (2023). Reply to Crockett et al. and Mottelson and Kontogiorgos: Machine learning’s scientific significance and future impact on replicability research. Proceedings of the National Academy of Sciences. 120(33). e2308195120–e2308195120.
2.
Youyou, Wu, Yang Yang, & Brian Uzzi. (2023). A discipline-wide investigation of the replicability of Psychology papers over the past two decades. Proceedings of the National Academy of Sciences. 120(6). e2208863120–e2208863120. 39 indexed citations
3.
Bailey, Erica R., Sandra Matz, Wu Youyou, & Sheena S. Iyengar. (2020). Authentic self-expression on social media is associated with greater subjective well-being. Nature Communications. 11(1). 4889–4889. 90 indexed citations
4.
Yang, Yang, Wu Youyou, & Brian Uzzi. (2020). Estimating the deep replicability of scientific findings using human and artificial intelligence. Proceedings of the National Academy of Sciences. 117(20). 10762–10768. 59 indexed citations
5.
Youyou, Wu, David Stillwell, H. Andrew Schwartz, & Michał Kosiński. (2017). Birds of a Feather Do Flock Together. Psychological Science. 28(3). 276–284. 80 indexed citations
6.
Cuddy, Amy J. C., Nishtha Lamba, Wu Youyou, et al.. (2015). On wealth and the diversity of friendships: High social class people around the world have fewer international friends. Personality and Individual Differences. 87. 224–229. 6 indexed citations
7.
Youyou, Wu, Michał Kosiński, & David Stillwell. (2015). Computer-based personality judgments are more accurate than those made by humans. Proceedings of the National Academy of Sciences. 112(4). 1036–1040. 623 indexed citations breakdown →
8.
Jin, Shenghua, Kaiping Peng, Wu Youyou, et al.. (2011). Mating strategies in Chinese culture: female risk avoiding vs. male risk taking. Evolution and Human Behavior. 33(3). 182–192. 14 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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