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Youfang Lin

19 papers hereh-index 3610.5k citations132 works total

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

author position
  • first author1
  • middle author12
  • last author5

Across the 18 of 19 papers where every author was matched, so the position is known.

fields
  • cs.LG7
  • cs.SI4
  • cs.CV3
  • eess.SP2
  • cs.DB1
  • eess.IV1
same name
  • Youfang Lin — 29 papers, h 14
  • Youfang Lin — 12 papers, h 4
  • Youfang Lin — 4 papers, h 5
  • Youfang Lin — 3 papers, h 6
  • Youfang Lin — 1 paper

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
20132023
most citedLink Prediction with Node Clustering Coefficient

125 citations · 228 across the 19 of their papers we have counts for

collaborators
Showing cs.SIShow all

4 papers · 1 filter

cs.SI2017★ 20 cited

Improving local clustering based top-L link prediction methods via asymmetrical link clustering information

Zhihao Wu, Youfang Lin, Yiji Zhao +1

Networks can represent a wide range of complex systems, such as social, biological and technological systems. Link prediction is one of the most important problems in network analy…

cs.SI2015★ 125 cited

Link Prediction with Node Clustering Coefficient

Zhihao Wu, Youfang Lin, Jing Wang +1

Predicting missing links in incomplete complex networks efficiently and accurately is still a challenging problem. The recently proposed CAR (Cannistrai-Alanis-Ravai) index shows t…

cs.SI2015★ 1 cited

A parameter free similarity index based on clustering ability for link prediction in complex networks

Zhihao Wu, Youfang Lin, Yao Zhao

Link prediction in complex network based on solely topological information is a challenging problem. In this paper, we propose a novel similarity index, which is efficient and para…

cs.SI2013★ 1 cited

Inferring High Quality Co-Travel Networks

Youfang Lin, Xuguang Jia, Mingjie Lin +3

Social networks provide a new perspective for enterprises to better understand their customers and have attracted substantial attention in industry. However, inferring high quality…

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