Dashun Wang

Biographic Data

ID3862545
NAMEDashun Wang
GIVEN NAMESDashun
FAMILY NAMEWang
SIGNATUREWANG D
AFFILIATIONSNorthwestern University
ORCID0000-0002-7054-2206
VERIFIEDYes
TOTAL WORKS14
TOTAL CITATIONS46
WORKS AS AUTHOR14
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2013
LATEST PUBLICATION YEAR2024
H-INDEX3

  • Quantifying the use and potential benefits of artificial intelligence in scientific research

    Open AccessJian Gao, Dashun WangARTICLENature Human Behaviour2024References: 114

  • The promise and pitfalls of the metaverse for science

    Open AccessDiego Gómez-Zará, Peter Schiffer et al.ARTICLENature Human Behaviour2023References: 8

  • Data, measurement and empirical methods in the science of science

    Open AccessLu Liu, Beau Fly Jones et al.ARTICLENature Human Behaviour2023Cited by: 1References: 241

  • See further upon the giants

    Open AccessWoo Seong Jo, Lu Liu et al.ARTICLEQuantitative Science Studies2022

    Newton’s centuries-old wisdom of standing on the shoulders of giants raises a crucial yet underexplored question: Out of all the prior works cited by a discovery, which one is its giant? Here, we develop a discipline-independent method to identify the giant for any individual paper, allowing us to better understand the role and characteristics of giants in science. We find that across disciplines, about 95% of papers appear to stand on the should…

  • Public use and public funding of science

    Open AccessYian Yin, Yuxiao Dong et al.ARTICLENature Human Behaviour2022Cited by: 6References: 45

  • Unequal effects of the Covid-19 pandemic on scientists

    Open AccessKyle R Myers, Wei Yang Tham et al.ARTICLENature Human Behaviour2020Cited by: 31References: 10

  • Large teams develop and small teams disrupt science and technology

    Open AccessLingfei Wu, Dashun Wang et al.ARTICLENature2019

  • Toward understanding the impact of artificial intelligence on labor

    Open AccessMorgan R Frank, David Autor et al.ARTICLEProceedings of the National…2019

    Rapid advances in artificial intelligence (AI) and automation technologies have the potential to significantly disrupt labor markets. While AI and automation can augment the productivity of some workers, they can replace the work done by others and will likely transform almost all occupations at least to some degree. Rising automation is happening in a period of growing economic inequality, raising fears of mass technological unemployment and a r…

  • Emergence of scaling in complex substitutive systems

    Open AccessChing Jin, Chaoming Song et al.ARTICLENature Human Behaviour2019Cited by: 2References: 49

  • Science of science

    Open AccessSanto Fortunato, Carl T Bergstrom et al.ARTICLEScience2018

    The whys and wherefores of SciSci The science of science (SciSci) is based on a transdisciplinary approach that uses large data sets to study the mechanisms underlying the doing of science—from the choice of a research problem to career trajectories and progress within a field. In a Review, Fortunato et al. explain that the underlying rationale is that with a deeper understanding of the precursors of impactful science, it will be possible to deve…

  • Quantifying patterns of research-interest evolution

    Open AccessTao Jia, Dashun Wang et al.ARTICLENature Human Behaviour2017Cited by: 6References: 59

  • Quantifying the evolution of individual scientific impact

    Open AccessRoberta Sinatra, Dashun Wang et al.ARTICLEScience2016

    Scientific impact—that is the Q Are there quantifiable patterns behind a successful scientific career? Sinatra et al. analyzed the publications of 2887 physicists, as well as data on scientists publishing in a variety of fields. When productivity (which is usually greatest early in the scientist's professional life) is accounted for, the paper with the greatest impact occurs randomly in a scientist's career. However, the process of generating a h…

  • Social Networks in Emergency Response

    Open AccessDashun Wang, Yu‐Ru Lin et al.CHAPTEREncyclopedia of Social Network…2014

  • Quantifying Long-Term Scientific Impact

    Open AccessDashun Wang, Chaoming Song et al.ARTICLEScience2013

    Citation Grabbers Is there quantifiable regularity and predictability in citation patterns? It is clear that papers that have been cited frequently tend to accumulate more citations. It is also clear that, with time, even the most novel paper loses its currency. Some papers, however, seem to have an inherent “fitness” that can be interpreted as a community's response to the research. Wang et al. (p. 127 ; see the Perspective by Evans ) developed …