Massing Optimization
Massing Optimization is a computational design method that systematically refines the three-dimensional form and spatial configuration of architectural volumes to achieve performance-driven objectives while adhering to site-specific constraints and urban design criteria.
9
Publications
237
Citations
15
Authors
7
Institutions
Publications per year
2017–2026
6
9
1–5 of 9
15
4
h-index
3
h-index
2
h-index
2
h-index
2
h-index
1–5 of 15
7
Nanjing University
Nanjing, China
4 h-index
6 publications
164 citations
National University of Singapore
Singapore, Singapore
3 h-index
3 publications
70 citations
Princeton University
Princeton, United States
3 h-index
3 publications
70 citations

Lawrence Berkeley National Laboratory
Berkeley, United States
1 h-index
1 publications
59 citations

Bauhaus-Universität Weimar
Weimar, Germany
1 h-index
1 publications
17 citations
University of California, Berkeley
Berkeley, United States
1 h-index
2 publications
118 citations

Federico Santa María Technical University
Valparaíso, Chile
1 h-index
1 publications
17 citations
Xi’an Jiaotong-Liverpool University
Suzhou, China
1 publications
20 citations
1–8 of 7
Conference · 2 publications · 36 citations
2
h-index
IJAC · 2 publications · 43 citations
2
h-index
1 publications · 12 citations
1
h-index
Conference · 1 publications · 31 citations
1
h-index
1 publications · 22 citations
1
h-index
1–5