OOIR: Observatory of International Research

Papers

(The H4-Index of Landslides is 36. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-09-01 to 2024-09-01.)

Article	Citations
Detection and segmentation of loess landslides via satellite images: a two-phase framework	107
Landslide detection using deep learning and object-based image analysis	95
A small attentional YOLO model for landslide detection from satellite remote sensing images	87
A three-dimensional large-deformation random finite-element study of landslide runout considering spatially varying soil	80
Landslide detection in the Himalayas using machine learning algorithms and U-Net	78
Metaheuristic-based support vector regression for landslide displacement prediction: a comparative study	76
Seismic performance assessment of unsaturated soil slope in different groundwater levels	76
Landslide detection by deep learning of non-nadiral and crowdsourced optical images	73
Efficient and automatic extraction of slope units based on multi-scale segmentation method for landslide assessments	73
Failure mechanisms and characteristics of the Zhongbao landslide at Liujing Village, Wulong, China	64
Surface multi-hazard effect of underground coal mining	63
Characteristics and geomorphology change detection analysis of the Jiangdingya landslide on July 12, 2018, China	62
Impacts of future climate and land cover changes on landslide susceptibility: regional scale modelling in the Val d’Aran region (Pyrenees, Spain)	60
Enhanced dynamic landslide hazard mapping using MT-InSAR method in the Three Gorges Reservoir Area	59
Rapid mapping of landslides in the Western Ghats (India) triggered by 2018 extreme monsoon rainfall using a deep learning approach	55
Numerical investigation of the landslide-debris flow transformation process considering topographic and entrainment effects: a case study	53
Characterizing the distribution pattern and geologic and geomorphic controls on earthquake-triggered landslide occurrence during the 2017 Ms 7.0 Jiuzhaigou earthquake, Sichuan, China	52
Seismic response characteristics and deformation evolution of the bedding rock slope using a large-scale shaking table	51
Rock avalanche induced flash flood on 07 February 2021 in Uttarakhand, India—a photogeological reconstruction of the event	49
Land use and land cover as a conditioning factor in landslide susceptibility: a literature review	48
Spatiotemporal variations of fatal landslides in Turkey	47
The root causes of landslide vulnerability in Bangladesh	45
A coupled SPH-DEM-FEM model for fluid-particle-structure interaction and a case study of Wenjia gully debris flow impact estimation	44
Deformation monitoring and failure mode research of mining-induced Jianshanying landslide in karst mountain area, China with ALOS/PALSAR-2 images	41
Centrifuge modeling of multi-row stabilizing piles reinforced reservoir landslide with different row spacings	41

Deformation responses of landslides to seasonal rainfall based on InSAR and wavelet analysis	40
Elevation dependence of landslide activity induced by climate change in the eastern Pamirs	40
Dynamic process analysis of the Baige landslide by the combination of DEM and long-period seismic waves	40
Development of a data-driven model for spatial and temporal shallow landslide probability of occurrence at catchment scale	39
Machine learning-based thermokarst landslide susceptibility modeling across the permafrost region on the Qinghai-Tibet Plateau	39
Characteristics of a rapid landsliding area along Jinsha River revealed by multi-temporal remote sensing and its risks to Sichuan-Tibet railway	37
Experiments on granular flow behavior and deposit characteristics: implications for rock avalanche kinematics	37
Spatiotemporal modelling of rainfall-induced landslides using machine learning	37
Deep convolutional neural network–based pixel-wise landslide inventory mapping	36
Landslide displacement forecasting using deep learning and monitoring data across selected sites	36
A GIS-based tool for probabilistic physical modelling and prediction of landslides: GIS-FORM landslide susceptibility analysis in seismic areas	36