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Cheng Qian

4 papers hereh-index 5291 citations13 works total

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

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.SI1
  • physics.soc-ph1
  • stat.ME1
  • stat.ML1
same name
  • Cheng Qian — 34 papers, h 9
  • Cheng Qian — 23 papers, h 12
  • Cheng Qian — 19 papers, h 18
  • Cheng Qian — 13 papers, h 10
  • Cheng Qian — 11 papers, h 4
  • Cheng Qian — 10 papers, h 21

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
20162025
most citedStructure of 311 Service Requests as a Signature of Urban Location

71 citations · 74 across the 4 of their papers we have counts for

collaborators

4 papers

stat.ME2025

High Dimensional Sparse Canonical Correlation Analysis for Elliptical Symmetric Distributions

Chengde Qian, Yanhong Liu, Long Feng

This paper proposes a robust high-dimensional sparse canonical correlation analysis (CCA) method for investigating linear relationships between two high-dimensional random vectors,…

stat.ML2019

High-dimensional Gaussian graphical model for network-linked data

Tianxi Li, Cheng Qian, Elizaveta Levina +1

Graphical models are commonly used to represent conditional dependence relationships between variables. There are multiple methods available for exploring them from high-dimensiona…

cs.SI2017★ 3 cited

Twitter Activity Timeline as a Signature of Urban Neighborhood

Philipp Kats, Cheng Qian, Constantine Kontokosta +1

Modern cities are complex systems, evolving at a fast pace. Thus, many urban planning, political, and economic decisions require a deep and up-to-date understanding of the local co…

physics.soc-ph2016★ 71 cited

Structure of 311 Service Requests as a Signature of Urban Location

Lingjing Wang, Cheng Qian, Constantine Kontokosta +1

While urban systems demonstrate high spatial heterogeneity, many urban planning, economic and political decisions heavily rely on a deep understanding of local neighborhood context…

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