Young-San Lin
Scholar

Young-San Lin

Google Scholar ID: r-1B34UAAAAJ
Melbourne Business School
theoretical computer scienceoperations research
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Citations & Impact
All-time
Citations
78
 
H-index
5
 
i10-index
4
 
Publications
20
 
Co-authors
0
 
Contact
No contact links provided.
Publications
3 items
Improved and Parameterized Algorithms for Online Multi-level Aggregation: A Memory-based Approach
2025
Cited
0
A few good choices
2025
Cited
0
Multicriteria Spanners - A New Tool for Network Design
arXiv.org · 2024
Cited
0
Resume (English only)
Co-authors
0 total
Co-authors: 0 (list not available)