MAPPING THE SENSITIVITY OF THE PUBLIC EMOTION TO THE MOVEMENT OF STOCK MARKET VALUE: A CASE STUDY OF MANHATTAN

9 citations as recorded by crossref.

1. Extracting human emotions at different places based on facial expressions and spatial clustering analysis Y. Kang et al. 10.1111/tgis.12552
2. Using geotagged facial expressions to visualize and characterize different demographic groups’ emotion in theme parks X. Song et al. 10.1038/s41598-024-69555-5
3. The Synergy Between Remote Sensing and Social Sensing in Urban Studies: Review and perspectives X. Xing et al. 10.1109/MGRS.2023.3343968
4. Nature and happiness in an individualist and a collectivist culture T. Svoray et al. 10.1038/s41598-022-11619-5
5. Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns F. Zhang et al. 10.1016/j.isprsjprs.2019.04.017
6. Emotional habitat: mapping the global geographic distribution of human emotion with physical environmental factors using a species distribution model Y. Li et al. 10.1080/13658816.2020.1755040
7. Quantifying the bias in place emotion extracted from photos on social networking sites: A case study on a university campus Y. Huang et al. 10.1016/j.cities.2020.102719
8. Eating chocolate, smelling perfume or watching video advertisement: Does it make any difference on emotional states measured at home using facial expressions? B. Mahieu et al. 10.1016/j.foodqual.2019.05.011
9. Quantifying emotional differences in urban green spaces extracted from photos on social networking sites: A study of 34 parks in three cities in northern China X. Zhu et al. 10.1016/j.ufug.2021.127133