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researcher

Jing Zhao

4 papers here

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

author position
  • first author2
  • last author1

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

fields
  • q-bio.MN2
  • cs.SI1
  • physics.soc-ph1
ORCID 0000-0002-2439-2876
same name
  • Jing Zhao — 22 papers, h 5
  • Jing Zhao — 10 papers, h 48
  • Jing Zhao — 8 papers, h 7
  • Jing Zhao — 7 papers, h 31
  • Jing Zhao — 7 papers, h 6
  • Jing Zhao — 6 papers, h 55

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
20062014
most citedPredicting missing links and their weights via reliable-route-based method

121 citations · 162 across the 4 of their papers we have counts for

collaborators

4 papers

cs.SI2014★ 121 cited

Predicting missing links and their weights via reliable-route-based method

Jing Zhao, Lili Miao, Haiyang Fang +3

Link prediction aims to uncover missing links or predict the emergence of future relationships according to the current networks structure. Plenty of algorithms have been developed…

physics.soc-ph2013★ 41 cited

Topological Structure of Urban Street Networks from the Perspective of Degree Correlations

Bin Jiang, Yingying Duan, Feng Lu +2

Many complex networks demonstrate a phenomenon of striking degree correlations, i.e., a node tends to link to other nodes with similar (or dissimilar) degrees. From the perspective…

q-bio.MN2007

Modular co-evolution of metabolic networks

Jing Zhao, Guo-Hui Ding, Lin Tao +5

The architecture of biological networks has been reported to exhibit high level of modularity, and to some extent, topological modules of networks overlap with known functional mod…

q-bio.MN2006

Hierarchical modularity of nested bow-ties in metabolic networks

Jing Zhao, Hong Yu, Jian-Hua Luo +2

The exploration of the structural topology and the organizing principles of genome-based large-scale metabolic networks is essential for studying possible relations between structu…

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