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Assessing network vulnerability of heavy rail systems with the impact of partial node failures

Bibliographic Data

ID19337476
AuthorsQian Ye (0000-0002-1101-2088, University of Tennessee at Knoxville), Hyun Kim (0000-0002-7637-678X, University of Tennessee at Knoxville, corresponding author)
Year2019
Volume46
Issue5
Pages1591-1614
Publication date2019-10-01
Open AccessYes
TypeARTICLE
VenueTransportation (JOURNAL)
Journal identifiersISSN: 0049-4488 • E-ISSN: 1572-9435
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11116-018-9859-6
OpenAlexW2787518599
LanguageEN
Citations received5
References cited30

Centrality · Complex network · Computer network · Computer security · Criticality · Index (typography) · Network analysis · Node (physics) · Psychological resilience · Ranking (information retrieval) · Resilience (materials science) · Set (abstract data type) · Transfer (computing) · Transport engineering · Vulnerability (computing) · Vulnerability assessment · Vulnerability index · Artificial Intelligence · Complex Network Analysis Techniques · Computer Science · Cross-Border Cooperation and Integration · Engineering · Infrastructure Resilience and Vulnerability Analysis · Mathematics

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    Open Access•X Zhang, Elise Miller-Hooks et al.•Journal of Transport Geography•2015

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Citations per year0.63
Citation span2018 - 2025 (8)
Highly citedNo

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