Most Cited

1
State-of-the-art review of soft computing applications in underground excavations
Wengang Zhang, Runhong Zhang, Chongzhi Wu, Anthony Teck Chee Goh, Suzanne Lacasse, Zhongqiang Liu, Hanlong Liu
2020, (4): 1095-1106. doi: 10.1016/j.gsf.2019.12.003
Abstract(710) HTML PDF(32)
2
Prediction of undrained shear strength using extreme gradient boosting and random forest based on Bayesian optimization
Wengang Zhang, Chongzhi Wu, Haiyi Zhong, Yongqin Li, Lin Wang
2021, 12(1): 469-477. doi: 10.1016/j.gsf.2020.03.007
Abstract(387) HTML PDF(37)
3
Subduction zone geochemistry
Yong-Fei Zheng
2019, 10(4): 1223-1254. doi: 10.1016/j.gsf.2019.02.003
Abstract(635) HTML PDF(77)
4
Assessment of widely used methods to derive depositional ages from detrital zircon populations
Daniel S. Coutts, William A. Matthews, Stephen M. Hubbard
2019, 10(4): 1421-1435. doi: 10.1016/j.gsf.2018.11.002
Abstract(325) HTML PDF(29)
5
Arsenic contamination of groundwater: A global synopsis with focus on the Indian Peninsula
E. Shaji, M. Santosh, K.V. Sarath, Pranav Prakash, V. Deepchand, B.V. Divya
2021, 12(3): 101079. doi: 10.1016/j.gsf.2020.08.015
Abstract(311) HTML PDF(31)
6
Rates of generation and growth of the continental crust
Chris Hawkesworth, Peter A. Cawood, Bruno Dhuime
2019, 10(1): 165-173. doi: 10.1016/j.gsf.2018.02.004
Abstract(914) HTML PDF(30)
7
Flood susceptibility modelling using advanced ensemble machine learning models
Abu Reza Md Towfiqul Islam, Swapan Talukdar, Susanta Mahato, Sonali Kundu, Kutub Uddin Eibek, Quoc Bao Pham, Alban Kuriqi, Nguyen Thi Thuy Linh
2021, 12(3): 101075. doi: 10.1016/j.gsf.2020.09.006
Abstract(466) HTML PDF(68)
8
Effects of particle size on crushing and deformation behaviors of rockfill materials
Yang Xiao, Minqiang Meng, Ali Daouadji , Qingsheng Chen , ZhijunWu , Xiang Jiang
2020, (2): 375-388. doi: 10.1016/j.gsf.2018.10.010
Abstract(577) HTML PDF(34)
9
How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?
Yacine Achour, Hamid Reza Pourghasemi
2020, (3): 871-883. doi: 10.1016/j.gsf.2019.10.001
Abstract(379) HTML PDF(42)
10
Predicting TBM penetration rate in hard rock condition: A comparative study among six XGB-based metaheuristic techniques
Jian Zhou, Yingui Qiu, Danial Jahed Armaghani, Wengang Zhang, Chuanqi Li, Shuangli Zhu, Reza Tarinejad
2021, 12(3): 101091. doi: 10.1016/j.gsf.2020.09.020
Abstract(79) HTML PDF(16)
11
Global kinematics of tectonic plates and subduction zones since the late Paleozoic Era
Alexander Young, Nicolas Flament, Kayla Maloney, Simon Williams, Kara Matthews, Sabin Zahirovic, R. Dietmar Müller
2019, 10(3): 989-1013. doi: 10.1016/j.gsf.2018.05.011
Abstract(193) HTML PDF(13)
12
Evaluation of deep learning algorithms for national scale landslide susceptibility mapping of Iran
Phuong Thao Thi Ngo, Mahdi Panahi, Khabat Khosravi, Omid Ghorbanzadeh, Narges Kariminejad, Artemi Cerda, Saro Lee
2021, 12(2): 505-519. doi: 10.1016/j.gsf.2020.06.013
Abstract(479) HTML PDF(10)
13
Statistical functions used for spatial modelling due to assessment of landslide distribution and landscape-interaction factors in Iran
Hamid Reza Pourghasemi, Narges Kariminejad, Amiya Gayen, Marko Komac
2020, (4): 1257-1269. doi: 10.1016/j.gsf.2019.11.005
Abstract(132) HTML PDF(9)
14
Is multi-hazard mapping effective in assessing natural hazards and integrated watershed management?
Hamid Reza Pourghasemi, Amiya Gayen, Mohsen Edalat, Mehrdad Zarafshar, John P. Tiefenbacher
2020, (4): 1203-1217. doi: 10.1016/j.gsf.2019.10.008
Abstract(254) HTML PDF(16)
15
Landslide susceptibility mapping using machine learning algorithms and comparison of their performance at Abha Basin, Asir Region, Saudi Arabia
Ahmed Mohamed Youssef, Hamid Reza Pourghasemi
2021, 12(2): 639-655. doi: 10.1016/j.gsf.2020.05.010
Abstract(286) HTML PDF(2)
16
Ancient deep roots for Mesozoic world-class gold deposits in the north China craton: An integrated genetic perspective
Cheng-Xue Yang a, M. Santosh
2020, (1): 203-214. doi: 10.1016/j.gsf.2019.03.002
Abstract(424) HTML PDF(28)
17
Landslide susceptibility modeling based on ANFIS with teaching-learning-based optimization and Satin bowerbird optimizer
Wei Chen, Xi Chen, Jianbing Peng, Mahdi Panahi, Saro Lee
2021, 12(1): 93-107. doi: 10.1016/j.gsf.2020.07.012
Abstract(249) HTML PDF(16)
18
Landslide identification using machine learning
Haojie Wang, Limin Zhang, Kesheng Yin, Hongyu Luo, Jinhui Li
2021, 12(1): 351-364. doi: 10.1016/j.gsf.2020.02.012
Abstract(731) HTML PDF(72)
19
Hazardous elements and amorphous nanoparticles in historical estuary coal mining area
Ana L. Duarte, Kátia DaBoit, Marcos L. S. Oliveira, Elba C. Teixeira, Ismael L. Schneider, Luis F. O. Silva
2019, 10(3): 927-939. doi: 10.1016/j.gsf.2018.05.005
20
Comparison of machine learning models for gully erosion susceptibility mapping
Alireza Arabameri, Wei Chen, Marco Loche, Xia Zhao, Yang Li, Luigi Lombardo, Artemi Cerda, Biswajeet Pradhan, Dieu Tien Bui
2020, (5): 1609-1620. doi: 10.1016/j.gsf.2019.11.009
Abstract(218) HTML PDF(23)
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