Map Performance Optimization
Map Performance Optimization is a methodological framework in web map design and publishing that systematically enhances the efficiency, responsiveness, and scalability of map delivery and interaction by minimizing data latency, optimizing resource loading, and improving rendering speed across distributed client-server architectures.
30
Publications
20.8K
Citations
97
Authors
51
Institutions
Publications per year
2017–2026
11
30
YOLOv3: An Incremental Improvement
Joseph Redmon, Ali Farhadi · arXiv (Cornell University) · 2018 · 5.9K citations · Full text
HAKE: Human Activity Knowledge Engine
Yong–Lu Li, Liang Xu, Xinpeng Liu et al. · arXiv (Cornell University) · 2019 · 39 citations · Full text
1–5 of 30
97
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2
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2
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1
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State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing, China
1 publications · 50 citations
1
h-index
1–5 of 97
51
Technion – Israel Institute of Technology
Haifa, Israel
2 h-index
6 publications
120 citations

Beihang University
Beijing, China
2 h-index
4 publications
67 citations
Binghamton University
Binghamton, United States
1 h-index
3 publications
78 citations
Massachusetts Institute of Technology
Cambridge, United States
1 h-index
1 publications
37 citations
Centre Régional d’Innovation et de Transferts Technologiques des Industries du Bois
Épinal, France
1 h-index
1 publications
24 citations
Gwangju Institute of Science and Technology
Gwangju, South Korea
1 h-index
1 publications
14 citations
Institut de Recherche en Informatique et Systèmes Aléatoires
Rennes, France
1 h-index
1 publications
13 citations

University of Turku
Turku, Finland
1 h-index
5 publications
155 citations
1–8 of 51
Repository · 2 publications · 5.9K citations
2
h-index
1 publications · 15 citations
1
h-index
1 publications · 30 citations
1
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1 publications · 20 citations
1
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1 publications · 13 citations
1
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1–5