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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:

Comparing classical statistic and machine learning models in landslide susceptibility mapping in Ardanuc (Artvin), Turkey
Halil Akıncı, Mustafa Zeybek
Natural Hazards (2021) Vol. 108, Iss. 2, pp. 1515-1543
Closed Access | Times Cited: 76

Showing 26-50 of 76 citing articles:

Advancements in mapping landslide susceptibility in Bafoussam and its surroundings area using multi-criteria decision analysis, statistical methods, and machine learning models
Willy Stephane Segue, Isaac K. Njilah, Donald Hermann Fossi, et al.
Journal of African Earth Sciences (2024) Vol. 213, pp. 105237-105237
Closed Access | Times Cited: 5
Essential insights into decision mechanism of landslide susceptibility mapping based on different machine learning models
Deliang Sun, Yuekai Ding, Jialan Zhang, et al.
Geocarto International (2022) Vol. 38, Iss. 1, pp. 1-29
Open Access | Times Cited: 22
Comparing Convolutional Neural Network and Machine Learning Models in Landslide Susceptibility Mapping: A Case Study in Wenchuan County
Sikui Zhang, Lin Bai, Yuanwei Li, et al.
Frontiers in Environmental Science (2022) Vol. 10
Open Access | Times Cited: 21
Comparison of multiple conventional and unconventional machine learning models for landslide susceptibility mapping of Northern part of Pakistan
Bilal Aslam, Adeel Zafar, Umer Khalil
Environment Development and Sustainability (2022)
Closed Access | Times Cited: 19
A Comparative Study of Shallow Machine Learning Models and Deep Learning Models for Landslide Susceptibility Assessment Based on Imbalanced Data
Shiluo Xu, Yingxu Song, Xiulan Hao
Forests (2022) Vol. 13, Iss. 11, pp. 1908-1908
Open Access | Times Cited: 19
Optimal site selection for solar photovoltaic power plants using geographical information systems and fuzzy logic approach: a case study in Artvin, Turkey
Halil Akıncı, Ayşe Yavuz Özalp
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 9
Closed Access | Times Cited: 18
Evaluation of linear, nonlinear and ensemble machine learning models for landslide susceptibility assessment in southwest China
Bingwei Wang, Qigen Lin, Tong Jiang, et al.
Geocarto International (2022) Vol. 38, Iss. 1
Open Access | Times Cited: 17
A landslide susceptibility modeling method using an optimal parameters-based geographical detector
Xiaokang Liu, Shuai Shao, Shengjun Shao, et al.
Advances in Space Research (2025)
Closed Access
Southwest Pacific Tropical Cyclone Rapid Intensification Classification Utilizing Machine Learning
Rupsa Bhowmick
Atmosphere (2025) Vol. 16, Iss. 4, pp. 456-456
Open Access
Optimizing the Application of Machine Learning Models in Predicting Landslide Susceptibility Using the Information Value Model in Junlian County of Sichuan Basin
Lijun Qian, Lihua Ou, Guoxin Li, et al.
Advances in Space Research (2025)
Closed Access
The use of digital technologies for landslide disaster risk research and disaster risk management: progress and prospects
Haijun Bao, Canying Zeng, Yi Peng, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 18
Closed Access | Times Cited: 16
Novel ensemble approach for landslide susceptibility index assessment in a mountainous environment of India
Rabin Chakrabortty, Subodh Chandra Pal, Paramita Roy, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 13311-13336
Closed Access | Times Cited: 15
Evaluation of Land Suitability for Olive (Olea europaea L.) Cultivation Using the Random Forest Algorithm
Ayşe Yavuz Özalp, Halil Akıncı
Agriculture (2023) Vol. 13, Iss. 6, pp. 1208-1208
Open Access | Times Cited: 9
Quantitative evaluation of uncertainty and interpretability in machine learning-based landslide susceptibility mapping through feature selection and explainable AI
Xuan-Hien Le, Chanul Choi, Song Eu, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 3
Discussion on the tree-based machine learning model in the study of landslide susceptibility
Qiang Liu, Aiping Tang, Ziyuan Huang, et al.
Natural Hazards (2022) Vol. 113, Iss. 2, pp. 887-911
Closed Access | Times Cited: 14
Spatial mapping of landslide susceptibility in Jerash governorate of Jordan using genetic algorithm-based wrapper feature selection and bagging-based ensemble model
Abdel Rahman Al‐Shabeeb, A’kif Al-Fugara, Khaled Mohamed Khedher, et al.
Geomatics Natural Hazards and Risk (2022) Vol. 13, Iss. 1, pp. 2252-2282
Open Access | Times Cited: 13
Landslide risk of regional roads: Consider the road mileage of expected losses
Qiang Liu, Bin Zhang, Aiping Tang
Transportation Research Part D Transport and Environment (2023) Vol. 120, pp. 103771-103771
Closed Access | Times Cited: 7
Machine learning for high-resolution landslide susceptibility mapping: case study in Inje County, South Korea
Xuan-Hien Le, Song Eu, Chanul Choi, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 7
Optimization of negative sample selection for landslide susceptibility mapping based on machine learning using K-means-KNN algorithm
Chao Liu
Earth Science Informatics (2023) Vol. 16, Iss. 4, pp. 4131-4152
Closed Access | Times Cited: 7
A side-sampling based Linformer model for landslide susceptibility assessment: a case study of the railways in China
Nan Jiang, Yange Li, Zheng Han, et al.
Geomatics Natural Hazards and Risk (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 2
Machine learning and deep learning-based landslide susceptibility mapping using geospatial techniques in Wayanad, Kerala state, India
P. LOKESH, C Madhesh, Aneesh Mathew, et al.
HydroResearch (2024) Vol. 8, pp. 113-126
Open Access | Times Cited: 2
Credal-Decision-Tree-Based Ensembles for Spatial Prediction of Landslides
Jingyun Gui, Ignacio Pérez‐Rey, Miao Yao, et al.
Water (2023) Vol. 15, Iss. 3, pp. 605-605
Open Access | Times Cited: 6
Progress and landscape of disaster science: Insights from computational analyses
Maziar Yazdani, Martin Loosemore, Mohammad Mojtahedi, et al.
International Journal of Disaster Risk Reduction (2024) Vol. 108, pp. 104536-104536
Open Access | Times Cited: 2
Cehennem Deresi Canyon(s): Outstanding Geomorphology, Geoheritage, and Geotourism Assets, Ardanuç (Artvin), Eastern Black Sea/NE Türkiye
Fatih Köroğlu
Geoheritage (2024) Vol. 16, Iss. 3
Closed Access | Times Cited: 2
Multi-scale analysis of the susceptibility of different landslide types and identification of the main controlling factors
Yuqian Yang, Shuangyun Peng, Bangmei Huang, et al.
Ecological Indicators (2024) Vol. 168, pp. 112797-112797
Open Access | Times Cited: 2

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