Spatiotemporal Machine Learning
Spatiotemporal Machine Learning is a machine learning paradigm that integrates spatial and temporal dependencies within data to model dynamic geographical phenomena by jointly accounting for location-based relationships and time-evolving patterns.
531
Publications
34K
Citations
2.1K
Authors
682
Institutions
Publications per year
2017–2026
467
Parents
531
DNN-based prediction model for spatio-temporal data
Junbo Zhang, Yu Zheng, Dekang Qi et al. · 2016 · 661 citations
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682

Chinese Academy of Sciences
Beijing, China
20 h-index
89 publications
6.8K citations
Tsinghua University
Beijing, China
16 h-index
63 publications
8K citations
University of Chinese Academy of Sciences
Beijing, China
16 h-index
58 publications
3.5K citations

Central South University
Changsha, China
13 h-index
29 publications
1.2K citations

Zhejiang University
Hangzhou, China
13 h-index
47 publications
2.7K citations

Hong Kong Polytechnic University
Hong Kong, Hong Kong
12 h-index
17 publications
2.1K citations

University of Hong Kong
Pok Fu Lam, Hong Kong
12 h-index
24 publications
1.9K citations

Southwest Jiaotong University
Chengdu, China
12 h-index
29 publications
6.6K citations
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20 publications · 1.4K citations
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Repository · 26 publications · 885 citations
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Conference · 17 publications · 4.5K citations
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TKDE · 14 publications · 1.4K citations
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12 publications · 389 citations
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