Data-driven Fashion Forecasting
Data-Driven Fashion Forecasting is a predictive methodology within fashion trend forecasting that systematically leverages quantitative data from diverse digital sources, distinguished by its reliance on statistical analysis, machine learning algorithms, and real-time consumer behavior patterns to identify and project emerging fashion trends.
44
Publications
2.9K
Citations
101
Authors
54
Institutions
Publications per year
2017–2026
29
Parents
44
1–5 of 44
101
8
h-index
6
h-index
4
h-index
3
h-index
2
h-index
1–5 of 101
54

Hong Kong Polytechnic University
Hong Kong, Hong Kong
12 h-index
30 publications
4.2K citations
The University of Texas at Austin
Austin, United States
3 h-index
4 publications
224 citations
National University of Singapore
Singapore, Singapore
3 h-index
9 publications
425 citations

Soochow University
Suzhou, China
2 h-index
3 publications
192 citations
École Nationale Supérieure des Arts et Industries Textiles
Roubaix, France
2 h-index
5 publications
222 citations
Karlsruhe Institute of Technology
Karlsruhe, Germany
2 h-index
4 publications
384 citations
Laboratoire Génie et Matériaux Textiles
Roubaix, France
2 h-index
5 publications
222 citations

Université Lille Nord de France
Lille, France
1 h-index
3 publications
108 citations
1–8 of 54
3 publications · 112 citations
3
h-index
2 publications · 334 citations
2
h-index
2 publications · 567 citations
2
h-index
2 publications · 167 citations
2
h-index
Repository · 2 publications · 40 citations
2
h-index
1–5