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Miao Li

4 papers hereh-index 350 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • physics.soc-ph4
same name
  • Miao Li — 113 papers, h 38
  • Miao Li — 33 papers, h 17
  • Miao Li — 30 papers, h 17
  • Miao Li — 13 papers, h 19
  • Miao Li — 13 papers, h 5
  • Miao Li — 7 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedFeature analysis of multidisciplinary scientific collaboration patterns based on PNAS

20 citations · 40 across the 4 of their papers we have counts for

collaborators

4 papers

physics.soc-ph2017

Assessing the level of merging errors for coauthorship data: a Bayesian model

Zheng Xie

Robust analysis of coauthorship networks is based on high quality data. However, ground-truth data are usually unavailable. Empirical data suffer several types of errors, a typical…

physics.soc-ph2017★ 5 cited

Exploring cooperative game mechanisms of scientific coauthorship networks

Zheng Xie, Jianping Li, Miao Li

Scientific coauthorship, generated by collaborations and competitions among researchers, reflects effective organizations of human resources. Researchers, their expected benefits t…

physics.soc-ph2017★ 20 cited

Feature analysis of multidisciplinary scientific collaboration patterns based on PNAS

Zheng Xie, Miao Li, Jianping Li +2

The features of collaboration patterns are often considered to be different from discipline to discipline. Meanwhile, collaborating among disciplines is an obvious feature emerged…

physics.soc-ph2016★ 15 cited

Modeling the coevolution between citations and coauthorships in scientific papers

Zheng Xie, Zonglin Xie, Miao Li +2

Collaborations and citations within scientific research grow simultaneously and interact dynamically. Modelling the coevolution between them helps to study many phenomena that can…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.