Temperature Anomaly Detection
Temperature Anomaly Detection is a computational method that identifies deviations in temperature readings from expected or baseline patterns, distinguishing itself by its focus on detecting statistically significant, non-conforming thermal variations within monitored environments.
178
Publications
7.6K
Citations
661
Authors
320
Institutions
Publications per year
2017–2026
86
Parents
178
Stock market returns: A note on temperature anomaly
Melanie Cao, Jason Zhanshun Wei · Journal of Banking & Finance · 2004 · 540 citations
Low Coseismic Friction on the Tohoku-Oki Fault Determined from Temperature Measurements
P. M. Fulton, E. E. Brodsky, Yasuyuki Kano et al. · Science · 2013 · 326 citations
1–5 of 178
661
NOAA Pacific Marine Environmental Laboratory, United States
3 publications · 116 citations
3
h-index
2
h-index
2
h-index
Rutgers, The State University of New Jersey, United States
2 publications · 39 citations
2
h-index
2
h-index
1–5 of 661
320
Japan Agency for Marine-Earth Science and Technology
Yokosuka, Japan
5 h-index
15 publications
2.1K citations

Centre National de la Recherche Scientifique
Paris, France
5 h-index
17 publications
421 citations

Peking University
Beijing, China
5 h-index
14 publications
340 citations
National Oceanic and Atmospheric Administration
Washington, United States
5 h-index
8 publications
515 citations

Chinese Academy of Sciences
Beijing, China
4 h-index
11 publications
161 citations

University of Padua
Padua, Italy
3 h-index
5 publications
91 citations
Georgia Institute of Technology
Atlanta, United States
3 h-index
4 publications
159 citations
Colorado State University
Fort Collins, United States
3 h-index
9 publications
1.4K citations
1–8 of 320
10 publications · 566 citations
10
h-index
6 publications · 323 citations
6
h-index
5 publications · 179 citations
5
h-index
BAMS · 3 publications · 216 citations
3
h-index
3 publications · 49 citations
3
h-index
1–5