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researcher

Jie Sun

48 papers hereh-index 253.2k citations69 works total

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

author position
  • first author19
  • middle author20
  • last author9

Across the 48 of 48 papers where every author was matched, so the position is known.

fields
  • nlin.AO11
  • nlin.CD7
  • cond-mat.stat-mech5
  • cond-mat.dis-nn4
  • physics.data-an4
  • physics.soc-ph3
same name
  • Jie Sun — 13 papers, h 10
  • Jie Sun — 9 papers, h 3
  • Jie Sun — 7 papers, h 4
  • Jie Sun — 5 papers, h 4
  • Jie Sun — 5 papers, h 31
  • Jie Sun — 5 papers, h 6

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

activity
20052025
most citedCausal Network Inference by Optimal Causation Entropy

222 citations · 1.8k across the 48 of their papers we have counts for

collaborators
Showing cond-mat.dis-nnShow all

4 papers · 1 filter

cond-mat.dis-nn2013★ 200 cited

Controllability transition and nonlocality in network control

Jie Sun, Adilson E. Motter

A common goal in the control of a large network is to minimize the number of driver nodes or control inputs. Yet, the physical determination of control signals and the properties o…

cond-mat.dis-nn2011★ 6 cited

Comment on "Controllability of Complex Networks with Nonlinear Dynamics"

Jie Sun, Sean P. Cornelius, William L. Kath +1

The recent paper by W.-X. Wang, Y.-C. Lai, J. Ren, B. Li & C. Grebogi [arXiv:1107.2177v1] proposed a method for the control of complex networks with nonlinear dynamics based on lin…

cond-mat.dis-nn2010★ 101 cited

Approximating Spectral Impact of Structural Perturbations in Large Networks

Attilio Milanese, Jie Sun, Takashi Nishikawa

Determining the effect of structural perturbations on the eigenvalue spectra of networks is an important problem because the spectra characterize not only their topological structu…

cond-mat.dis-nn2008★ 2 cited

Sequence Nets

Jie Sun, Takashi Nishikawa, Daniel ben-Avraham

We study a new class of networks, generated by sequences of letters taken from a finite alphabet consisting of m letters (corresponding to m types of nodes) and a fixed set of…

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