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A. Zeng

40 papers hereh-index 282.9k citations96 works total

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

author position
  • sole author1
  • first author15
  • middle author17
  • last author6

Across the 39 of 40 papers where every author was matched, so the position is known.

fields
  • physics.soc-ph28
  • cs.IR7
  • cs.SI4
  • cond-mat.dis-nn1
same name
  • A. Zeng — 39 papers, h 34
  • A. Zeng — 1 paper, h 11
  • A. Zeng — 1 paper, h 3
  • A. Zeng — 1 paper, h 11

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
20092021
most citedRanking spreaders by decomposing complex networks

449 citations · 1.6k across the 40 of their papers we have counts for

collaborators
Showing 2015Show all

4 papers · 1 filter

cs.IR2015★ 103 cited

Network-based recommendation algorithms: A review

Fei Yu, An Zeng, Sebastien Gillard +1

Recommender systems are a vital tool that helps us to overcome the information overload problem. They are being used by most e-commerce web sites and attract the interest of a broa…

physics.soc-ph2015★ 56 cited

Prediction in complex systems: the case of the international trade network

Alexandre Vidmer, An Zeng, Matúš Medo +1

Predicting the future evolution of complex systems is one of the main challenges in complexity science. Based on a current snapshot of a network, link prediction algorithms aim to…

physics.soc-ph2015★ 13 cited

Identification and modeling of discoverers in online social systems

Matus Medo, Manuel S. Mariani, An Zeng +1

The dynamics of individuals is of essential importance for understanding the evolution of social systems. Most existing models assume that individuals in diverse systems, ranging f…

cs.IR2015★ 14 cited

Modeling mutual feedback between users and recommender systems

An Zeng, Chi Ho Yeung, Matus Medo +1

Recommender systems daily influence our decisions on the Internet. While considerable attention has been given to issues such as recommendation accuracy and user privacy, the long-…

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