OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Local-scale landslide susceptibility mapping using the B-GeoSVC model
Yang Yang, Jintao Yang, Chengdong Xu, et al.
Landslides (2019) Vol. 16, Iss. 7, pp. 1301-1312
Closed Access | Times Cited: 59

Showing 26-50 of 59 citing articles:

Advancements in Technologies and Methodologies of Machine Learning in Landslide Susceptibility Research: Current Trends and Future Directions
Zongyue Lu, Genyuan Liu, Zhihong Song, et al.
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9639-9639
Open Access | Times Cited: 3

Exploring the impact of introducing a physical model into statistical methods on the evaluation of regional scale debris flow susceptibility
Jingbo Sun, Shengwu Qin, Shuangshuang Qiao, et al.
Natural Hazards (2021) Vol. 106, Iss. 1, pp. 881-912
Closed Access | Times Cited: 22

Reducing Local Correlations Among Causal Factor Classifications as a Strategy to Improve Landslide Susceptibility Mapping
Ting Xiao, Lanbing Yu, Weiming Tian, et al.
Frontiers in Earth Science (2021) Vol. 9
Open Access | Times Cited: 22

Modeling the spatial relationship between rice cadmium and soil properties at a regional scale considering confounding effects and spatial heterogeneity
Jintao Yang, Jinfeng Wang, Chengdong Xu, et al.
Chemosphere (2021) Vol. 287, pp. 132402-132402
Closed Access | Times Cited: 20

Debris Flow Susceptibility Evaluation—A Review
Ankit Kumar, Raju Sarkar
Iranian Journal of Science and Technology Transactions of Civil Engineering (2022) Vol. 47, Iss. 3, pp. 1277-1292
Closed Access | Times Cited: 13

An ensemble spatial prediction method considering geospatial heterogeneity
Shifen Cheng, Lizeng Wang, Peixiao Wang, et al.
International Journal of Geographical Information Science (2024) Vol. 38, Iss. 9, pp. 1856-1880
Closed Access | Times Cited: 2

Modeling landslide susceptibility using alternating decision tree and support vector
Zhuo Chen, Junfeng Tang, Danqing Song
Terrestrial Atmospheric and Oceanic Sciences (2024) Vol. 35, Iss. 1
Open Access | Times Cited: 2

Incorporating modelling uncertainty and prior knowledge into landslide susceptibility mapping using Bayesian neural networks
Chongzhi Chen, Zhangquan Shen, Luming Fang, et al.
Georisk Assessment and Management of Risk for Engineered Systems and Geohazards (2024), pp. 1-20
Closed Access | Times Cited: 2

Assessing landslide susceptibility using improved machine learning methods and considering spatial heterogeneity for the Three Gorges Reservoir Area, China
Jiahui Dong, Ruiqing Niu, Tao Chen, et al.
Natural Hazards (2023) Vol. 120, Iss. 2, pp. 1113-1140
Closed Access | Times Cited: 6

Integration of Spatial Probability and Size in Slope-Unit-Based Landslide Susceptibility Assessment: A Case Study
Langping Li, Hengxing Lan
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 21, pp. 8055-8055
Open Access | Times Cited: 17

Landslide Susceptibility Assessment Considering Spatial Agglomeration and Dispersion Characteristics: A Case Study of Bijie City in Guizhou Province, China
Kezhen Yao, Saini Yang, Shengnan Wu, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 5, pp. 269-269
Open Access | Times Cited: 9

Landslide Susceptibility Mapping Using Bivariate Statistical Models and GIS in Chattagram District, Bangladesh
Md. Sharafat Chowdhury, Bibi Hafsa
Geotechnical and Geological Engineering (2022) Vol. 40, Iss. 7, pp. 3687-3710
Open Access | Times Cited: 8

Disease relative risk downscaling model to localize spatial epidemiologic indicators for mapping hand, foot, and mouth disease over China
Chao Song, Yaqian He, Yanchen Bo, et al.
Stochastic Environmental Research and Risk Assessment (2019) Vol. 33, Iss. 10, pp. 1815-1833
Closed Access | Times Cited: 12

Mapping landslide susceptibility with the consideration of spatial heterogeneity and factor optimization
Chuanfa Chen, Yating Liu, Yanyan Li, et al.
Natural Hazards (2024)
Closed Access | Times Cited: 1

Landslide Susceptibility Mapping along the Anninghe Fault Zone in China using SVM and ACO-PSO-SVM Models
Zhuo Chen, Hongfu Zhou, Fei Ye, et al.
Lithosphere (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 7

Landslide Distribution and Processes in the Hills of Central Nepal: Geomorphic and Statistical Approach to Susceptibility Assessment
Motilal Ghimire, Niroj Timalsina
Journal of Geoscience and Environment Protection (2020) Vol. 08, Iss. 12, pp. 276-302
Open Access | Times Cited: 10

Establishing a GIS-based evaluation method considering spatial heterogeneity for debris flow susceptibility mapping at the regional scale
Shengwu Qin, Shuangshuang Qiao, Jingyu Yao, et al.
Natural Hazards (2022) Vol. 114, Iss. 3, pp. 2709-2738
Closed Access | Times Cited: 6

An Optimization of Statistical Index Method Based on Gaussian Process Regression and GeoDetector, for Higher Accurate Landslide Susceptibility Modeling
Cheng Cen, Yang Yang, Fengcheng Zhong, et al.
Applied Sciences (2022) Vol. 12, Iss. 20, pp. 10196-10196
Open Access | Times Cited: 5

A Dynamic Strain-Rate-Dependent Contact Model and Its Application in Hongshiyan Landslide
Chong Shi, Wangyang Li, Qingxiang Meng
Geofluids (2021) Vol. 2021, pp. 1-23
Open Access | Times Cited: 7

Deep convolutional neural networks with Bee Collecting Pollen Algorithm (BCPA)-based landslide data balancing and spatial prediction
J. Aruna Jasmine, C. Heltin Genitha
Journal of Intelligent & Fuzzy Systems (2023) Vol. 46, Iss. 1, pp. 597-617
Closed Access | Times Cited: 2

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