代表论著:
1. 齐文文,许冲,乔月霞. 基于谷歌地球引擎和Sentinel-2时序数据的海地多云地区地震滑坡识别. 地震学报, 2024, 46(4): 633-648. doi:10.11939/jass.20220168.
2. Yang Z, Qi W, Xu C, Shao X. Exploring deep learning for landslide mapping: A comprehensive review. China Geology. 2024, 7(2): 330-50.
3. Li T, Xie C, Xu C, Qi W, Huang Y, Li L. Automated machine learning for rainfall-induced landslide hazard mapping in Luhe County of Guangdong Province, China. China Geology. 2024, 7(2): 315-29.
4. Sun J, Qi W, Huang Y, Xu C, Yang W. Facing the Wildfire Spread Risk Challenge: Where Are We Now and Where Are We Going? Fire, 2023, 6(6), 228.
5. Chen Z, Qi W, Xu C. Scenario-Based Hazard Assessment of Local Tsunami for Coastal Areas: A Case Study of Xiamen City, Fujian Province, China. Journal of Marine Science and Engineering, 2023, 11 (8): 1501.
6. Feng L, Qi W, Xu C, Yang W, Yang Z, Xiao Z, Chen Z, Li T, Shao X, Gao H, Xue Z. Landslide research from the perspectives of Qinling Mountains in China: A critical review. Journal of Earth Science, 2023.
7. Yang, H., Shi, P., Quincey, D., Qi W, Yang, W. (2023). A Heterogeneous Sampling Strategy to Model Earthquake-Triggered Landslides. International Journal of Disaster Risk Science. doi:10.1007/s13753-023-00489-8
8. Qi W. Object detection in high resolution optical image based on deep learning technique. Natural Hazards Research. 2022, 2(4), 384-392.
9. Qi W, Yang W, He X, Xu C*. Detecting Chamoli landslide precursors in the southern Himalayas using remote sensing data. Landslides. 2021, 18: 3449–3456.
10. Qi W, Xu C*, Xu X. AutoGluon: A revolutionary framework for landslide hazard analysis. Natural Hazards Research. 2021, 1(3): 103-108.
11. He X, Xu C, Qi W, Huang Y, Cheng J, Xu X, et al. Landslides Triggered by the 2020 Qiaojia Mw5.1 Earthquake, Yunnan, China: Distribution, Influence Factors and Tectonic Significance, Journal of Earth Science. 2021, 32(5): 1056-1068.
12. He X, Xu C, Qi W, et al. (2021). A database of landslides triggered by 2014 Mw 6.1 Jinggu earthquake, China. IOP Conference Series: Earth and Environmental Science, 861(5), 052008.
13. Qi W, Wei M, Yang W, Xu C, Ma C. Automatic Mapping of Landslides by the ResU-Net. Remote Sensing. 2020, 12(15):2487.
14. Yang W, Qi W, Zhou J. Effects of precipitation and topography on vegetation recovery at landslide sites after the 2008 Wenchuan earthquake. Land Degradation & Development, 2018, 29(10): 3355-3365.
15. Yang W, Qi W, Zhou J. Decreased landslide activity linked to post-seismic vegetation recovery in the epicentral area of the 2008 Wenchuan earthquake. Ecological Indicators, 2018, 89: 438-444.
16. Yang W, Qi W. Spatial-temporal dynamic monitoring of vegetation recovery after the Wenchuan Earthquake. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(3): 868-876.
17. Yang W, Qi W., et al. Spatial and temporal analyses of post-seismic landslide changes near the epicentre of the Wenchuan earthquake. Geomorphology, 2017, 276: 8–15.
18. Guan X, Qi W, He J, et al. Purification of training samples based on spectral feature and super-pixel segmentation. ISPRS TC III Mid-term Symposium “Development, Technologies and Applications in Remote Sensing”, 7-10 May 2018, Beijing, China.
19. Qi W, Zhang B, et al. A topographical model for precipitation pattern in the Tibetan Plateau. Journal of Mountain Science, 2016, 13(5): 763-773.
20. 齐文文, 张百平等. 基于TRMM 数据的青藏高原降水的空间和季节分布特征. 地理科学, 2013, 33(8): 999-1005.
21. 张建明, 齐文文. 民勤绿洲土壤盐分组成与光谱特征. 生态学杂志, 2013, 32(10): 2620-2626.
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