16 citations as recorded by crossref.

1. Monitoring post-earthquake recovery and conducting impact factor analyses based on nighttime light data L. Tang & Y. Zhang
2. Measuring the Impact of Insurance on Recovery after Extreme Weather Events Using Nightlights S. Owen et al.
3. Influence of China’s Lighting Industry on Urban Nighttime Tourism Economic Development: Based on Co-Integration Test and Granger Causality Test M. Li et al.
4. NPP-VIIRS Nighttime Lights Illustrate the Post-Earthquake Damage and Subsequent Economic Recovery in Hatay Province, Turkey F. Li et al.
5. A Cost-Effective Earthquake Disaster Assessment Model for Power Systems Based on Nighttime Light Information L. Wang et al.
6. Prediction of direct economic losses from earthquakes in Mainland China C. Wang et al.
7. Ionospheric Schumann Resonance Signal Image Recognition Model and Its Application to the Yangbi Earthquake K. Zhu et al.
8. Rapid assessment of disaster damage and economic resilience in relation to the flooding in Zhengzhou, China in 2021 F. Li et al.
9. The Use of Virtual Reality to Improve Disaster Preparedness Among Nursing Students: A Randomized Study L. Shujuan et al.
10. Long-Term Resilience Curve Analysis of Wenchuan Earthquake-Affected Counties Using DMSP-OLS Nighttime Light Images Z. Liu et al.
11. Applications of artificial intelligence for disaster management W. Sun et al.
12. Post-Earthquake Damage and Recovery Assessment Using Nighttime Light Data: A Case Study of the Turkey–Syria Earthquake J. Yang et al.
13. Supply-chain impacts of Sichuan earthquake: a case study using disaster input–output analysis R. Huang et al.
14. Impact Assessment of the Effects of Strong Earthquake-Induced Hazards on the Socioeconomic Development Level of Earthquake-Stricken Areas after the 2008 Wenchuan Earthquake S. Han et al.
15. Analysis and Reduction of Solar Stray Light in the Nighttime Imaging Camera of Luojia-1 Satellite X. Zhong et al.
16. Using Nighttime Lights to Model Power Recovery Pattern Following the Landfall of Typhoons in Eastern Coastal Areas of China Y. Zhou et al.