Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Showing 26-50 of 77 citing articles:

Application of convolutional neural network fused with machine learning modeling framework for geospatial comparative analysis of landslide susceptibility
Zemin Gao, Mingtao Ding
Natural Hazards (2022) Vol. 113, Iss. 2, pp. 833-858
Closed Access | Times Cited: 26
Mapping of Soil pH Based on SVM-RFE Feature Selection Algorithm
Jia Guo, Ku Wang, Shaofei Jin
Agronomy (2022) Vol. 12, Iss. 11, pp. 2742-2742
Open Access | Times Cited: 23
Population amount risk assessment of extreme precipitation-induced landslides based on integrated machine learning model and scenario simulation
Guangzhi Rong, Kaiwei Li, Zhijun Tong, et al.
Geoscience Frontiers (2023) Vol. 14, Iss. 3, pp. 101541-101541
Open Access | Times Cited: 16
Improving the Accuracy of Flood Susceptibility Prediction by Combining Machine Learning Models and the Expanded Flood Inventory Data
Han Yu, Zengliang Luo, Lunche Wang, et al.
Remote Sensing (2023) Vol. 15, Iss. 14, pp. 3601-3601
Open Access | Times Cited: 15
Machine Learning-Based Rainfall Prediction: Unveiling Insights and Forecasting for Improved Preparedness
Md. Mehedi Hassan, Mohammad Abu Tareq Rony, Md. Asif Rakib Khan, et al.
IEEE Access (2023) Vol. 11, pp. 132196-132222
Open Access | Times Cited: 15
GIS-Based Landslide Susceptibility Modeling: A Comparison between Best-First Decision Tree and Its Two Ensembles (BagBFT and RFBFT)
Jingyun Gui, Leandro R. Alejano, Miao Yao, et al.
Remote Sensing (2023) Vol. 15, Iss. 4, pp. 1007-1007
Open Access | Times Cited: 14
Risk analysis of rainstorm-urban lifeline system disaster chain based on the PageRank-risk matrix and complex network
Haixiang Guo, Xinyu He, Xinbiao Lv, et al.
Natural Hazards (2024) Vol. 120, Iss. 12, pp. 10583-10606
Open Access | Times Cited: 6
Machine Learning-Driven Landslide Susceptibility Mapping in the Himalayan China–Pakistan Economic Corridor Region
Mohib Ullah, Bingzhe Tang, Wenchao Huangfu, et al.
Land (2024) Vol. 13, Iss. 7, pp. 1011-1011
Open Access | Times Cited: 5
Rockfall susceptibility mapping using XGBoost model by hybrid optimized factor screening and hyperparameter
Haijia Wen, Jiwei Hu, Jialan Zhang, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 16872-16899
Closed Access | Times Cited: 20
Insights into spatial differential characteristics of landslide susceptibility from sub-region to whole-region cased by northeast Chongqing, China
Rui Liu, Yuekai Ding, Deliang Sun, et al.
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 11
Dynamic Hazard Assessment of Rainfall-Induced Landslides Using Gradient Boosting Decision Tree with Google Earth Engine in Three Gorges Reservoir Area, China
Ke Yang, Ruiqing Niu, Yingxu Song, et al.
Water (2024) Vol. 16, Iss. 12, pp. 1638-1638
Open Access | Times Cited: 4
Enhanced machine learning tree classifiers for lithology identification using Bayesian optimization
Solomon Asante‐Okyere, Chuanbo Shen, Harrison Osei
Applied Computing and Geosciences (2022) Vol. 16, pp. 100100-100100
Open Access | Times Cited: 19
Prediction of non-carcinogenic health risk using Hybrid Monte Carlo-machine learning approach
Santanu Mallik, Saikat Das, Abhigyan Chakraborty, et al.
Human and Ecological Risk Assessment An International Journal (2023) Vol. 29, Iss. 3-4, pp. 777-800
Closed Access | Times Cited: 10
Advancing Alzheimer’s disease risk prediction: development and validation of a machine learning-based preclinical screening model in a cross-sectional study
Bingsheng Wang, Rongbing Xie, Wenhao Qi, et al.
BMJ Open (2025) Vol. 15, Iss. 2, pp. e092293-e092293
Open Access
Geomorphological and Geological Characteristics Slope Unit: Advancing Township-Scale Landslide Susceptibility Assessment Strategies
Gang Chen, Taorui Zeng, Dongsheng Liu, et al.
Land (2025) Vol. 14, Iss. 2, pp. 355-355
Open Access
Predicting the Spatial Distribution of Geological Hazards in Southern Sichuan, China, Using Machine Learning and ArcGIS
Ruizhi Zhang, Dayong Zhang, Bo Shu, et al.
Land (2025) Vol. 14, Iss. 3, pp. 577-577
Open Access
Landslide Susceptibility Mapping in Complex Topo‐Climatic Himalayan Terrain, India Using Machine Learning Models: A Comparative Study of XGBoost, RF and ANN
Shubham Badola, Manish Pandey, Varun Narayan Mishra, et al.
Geological Journal (2025)
Closed Access
Analysis of the Utilization of Machine Learning to Map Flood Susceptibility
Ali Pourzangbar, Peter Oberle, Andreas Kron, et al.
Journal of Flood Risk Management (2025) Vol. 18, Iss. 2
Open Access
A comparative machine learning approach to identify landslide triggering factors in northern Chilean Patagonia
Bastián Morales, Elizabet Lizama, Marcelo Somos‐Valenzuela, et al.
Landslides (2021) Vol. 18, Iss. 8, pp. 2767-2784
Closed Access | Times Cited: 21
Efficient super-resolution of pipeline transient process modeling using the Fourier Neural Operator
Junhua Gong, Guoyun Shi, Shaobo Wang, et al.
Energy (2024) Vol. 302, pp. 131676-131676
Closed Access | Times Cited: 3
Leveraging High-Resolution Long-Wave Infrared Hyperspectral Laboratory Imaging Data for Mineral Identification Using Machine Learning Methods
Alireza Hamedianfar, Kati Laakso, Maarit Middleton, et al.
Remote Sensing (2023) Vol. 15, Iss. 19, pp. 4806-4806
Open Access | Times Cited: 8
Hazard Assessment of Earthquake Disaster Chains Based on Deep Learning—A Case Study of Mao County, Sichuan Province
Yulin Su, Guangzhi Rong, Yining Ma, et al.
Frontiers in Earth Science (2022) Vol. 9
Open Access | Times Cited: 12
Landslide Susceptibility Mapping Using DIvisive ANAlysis (DIANA) and RObust Clustering Using linKs (ROCK) Algorithms, and Comparison of Their Performance
Deborah Simon Mwakapesa, Yimin Mao, Xiaoji Lan, et al.
Sustainability (2023) Vol. 15, Iss. 5, pp. 4218-4218
Open Access | Times Cited: 7
Hazard assessment of rainstorm-geohazard disaster chain based on multiple scenarios
Qiyuan Wang, Jundong Hou
Natural Hazards (2023) Vol. 118, Iss. 1, pp. 589-610
Closed Access | Times Cited: 6
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

Scroll to top