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Lingfei Wu

Biographic Data

ID8697761
NAMELingfei Wu
GIVEN NAMESLingfei
FAMILY NAMEWu
SIGNATUREWU L
AFFILIATIONSUniversity of Pittsburgh
ORCID0000-0002-0102-3613
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS2
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2014
LATEST PUBLICATION YEAR2026
H-INDEX1
  • The Disruption Index measures displacement between a paper and its most cited reference

    Open Access•Yiling Lin, Linzhuo Li et al.•ARTICLE•Quantitative Science Studies•2026

    The Disruption Index (D-index) provides the first quantitative framework for identifying breakthroughs in science and technology. As its use expands, questions have emerged about its meaning, strengths, and limitations. Because the D-index measures how a focal paper competes with its references for citation attention, some worry that it is distorted by historical changes in citation practices. For example, if papers cite more references over time…

  • The use of ChatGPT for identifying disruptive papers in science

    Open Access•Lutz Bornmann, Lingfei Wu et al.•ARTICLE•Scientometrics•2024

    ChatGPT has arrived in quantitative research evaluation. With the exploration in this Letter to the Editor, we would like to widen the spectrum of the possible use of ChatGPT in bibliometrics by applying it to identify disruptive papers. The identification of disruptive papers using publication and citation counts has become a popular topic in scientometrics. The disadvantage of the quantitative approach is its complexity in the computation. The …

  • Social centralization and semantic collapse

    Open Access•Li Linzhuo, Linzhuo Li et al.•ARTICLE•Poetics•2020•Cited by: 2•References: 67

  • Large teams develop and small teams disrupt science and technology

    Open Access•Lingfei Wu, Dashun Wang et al.•ARTICLE•Nature•2019

  • How Web 1.0 fails

    Open Access•Lingfei Wu, Robert Ackland•ARTICLE•Social Network Analysis and Mining•2014

  • Social centralization and semantic collapse

    Open Access•Li Linzhuo, Linzhuo Li et al.•ARTICLE•Poetics•2020•Cited by: 2•References: 67

  • How Web 1.0 fails

    Open Access•Lingfei Wu, Robert Ackland•ARTICLE•Social Network Analysis and Mining•2014

  • Large teams develop and small teams disrupt science and technology

    Open Access•Lingfei Wu, Dashun Wang et al.•ARTICLE•Nature•2019

  • Social centralization and semantic collapse

    Open Access•Li Linzhuo, Linzhuo Li et al.•ARTICLE•Poetics•2020•Cited by: 2•References: 67

  • The use of ChatGPT for identifying disruptive papers in science

    Open Access•Lutz Bornmann, Lingfei Wu et al.•ARTICLE•Scientometrics•2024

    ChatGPT has arrived in quantitative research evaluation. With the exploration in this Letter to the Editor, we would like to widen the spectrum of the possible use of ChatGPT in bibliometrics by applying it to identify disruptive papers. The identification of disruptive papers using publication and citation counts has become a popular topic in scientometrics. The disadvantage of the quantitative approach is its complexity in the computation. The …

  • The Disruption Index measures displacement between a paper and its most cited reference

    Open Access•Yiling Lin, Linzhuo Li et al.•ARTICLE•Quantitative Science Studies•2026

    The Disruption Index (D-index) provides the first quantitative framework for identifying breakthroughs in science and technology. As its use expands, questions have emerged about its meaning, strengths, and limitations. Because the D-index measures how a focal paper competes with its references for citation attention, some worry that it is distorted by historical changes in citation practices. For example, if papers cite more references over time…

Computer Science (4 works) · Complex Network Analysis Techniques (2 works) · scientometrics and bibliometrics research (2 works) · Sociology (2 works) · Academic Publishing and Open Access (1 work) · Artificial Intelligence in Healthcare and Education (1 work) · Caching and Content Delivery (1 work) · Citation (1 work) · Clickstream (1 work) · Complex Systems and Time Series Analysis (1 work)

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