◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Fei Ma

21 papers hereh-index 11436 citations80 works total

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

author position
  • sole author1
  • first author11
  • middle author7
  • last author1

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • math.CO6
  • cs.IT4
  • physics.soc-ph4
  • cs.SI3
  • cs.CR1
  • cs.DM1
same name
  • Fei Ma — 7 papers, h 4
  • Fei Ma — 7 papers, h 8
  • Fei Ma — 6 papers, h 13
  • Fei Ma — 6 papers
  • Fei Ma — 6 papers
  • Fei Ma — 6 papers, h 4

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
20182025
most citedUsing Chinese Characters To Generate Text-Based Passwords For Information Security

10 citations · 16 across the 9 of their papers we have counts for

collaborators
Showing physics.soc-phShow all

4 papers · 1 filter

physics.soc-ph2020

Structural properties and average tapping time on scale-free graphs with smallest diameter

Fei Ma, Ping Wang

In this paper, we propose a class of graphs G⋆(m,t) and first study some structural properties, such as, average degree, on them. The results show that (1) graphs $G^{\sta…

physics.soc-ph2019

Constructions and properties of a class of random scale-free networks

Xiaomin Wang, Fei Ma

Complex networks have abundant and extensive applications in real life. Recently, researchers have proposed a number of complex networks, in which some are deterministic and others…

physics.soc-ph2019

An ensemble of random graphs with identical degree distribution

Fei Ma, Xiaoming Wang, Ping Wang

Degree distribution, or equivalently called degree sequence, has been commonly used to be one of most significant measures for studying a large number of complex networks with whic…

physics.soc-ph2019

Random walks on Fibonacci treelike models: emergence of power law

Fei Ma, Ping Wang, Bing Yao

In this paper, we propose a class of growth models, named Fibonacci trees F(t), with respect to the intrinsic advantage of Fibonacci sequence {Ft​}. First, we turn out mode…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.