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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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