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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:

A comparative study on machine learning modeling for mass movement susceptibility mapping (a case study of Iran)
Sayed Naeim Emami, Saleh Yousefi, Hamid Reza Pourghasemi, et al.
Bulletin of Engineering Geology and the Environment (2020) Vol. 79, Iss. 10, pp. 5291-5308
Closed Access | Times Cited: 35

Showing 1-25 of 35 citing articles:

Testing the performances of different fuzzy overlay methods in GIS-based landslide susceptibility mapping of Udi Province, SE Nigeria
Vincent E. Nwazelibe, Chinanu O. Unigwe, Johnbosco C. Egbueri
CATENA (2022) Vol. 220, pp. 106654-106654
Open Access | Times Cited: 41
Novel optimized deep learning algorithms and explainable artificial intelligence for storm surge susceptibility modeling and management in a flood-prone island
Mohammed J. Alshayeb, Hoang Thi Hang, Ahmed Ali A. Shohan, et al.
Natural Hazards (2024) Vol. 120, Iss. 6, pp. 5099-5128
Closed Access | Times Cited: 8
Seismically induced hillslope disturbance, sediment connectivity and mass wasting: Insights from the 2008 Wenchuan earthquake
Ming Chen, Chuan Tang, Ming Chang, et al.
Geomorphology (2024) Vol. 449, pp. 109064-109064
Closed Access | Times Cited: 7
Surface Motion Prediction and Mapping for Road Infrastructures Management by PS-InSAR Measurements and Machine Learning Algorithms
Nicholas Fiorentini, Mehdi Maboudi, Pietro Leandri, et al.
Remote Sensing (2020) Vol. 12, Iss. 23, pp. 3976-3976
Open Access | Times Cited: 45
Assessment of land degradation using machine‐learning techniques: A case of declining rangelands
Saleh Yousefi, Hamid Reza Pourghasemi, Mohammadtaghi Avand, et al.
Land Degradation and Development (2020) Vol. 32, Iss. 3, pp. 1452-1466
Closed Access | Times Cited: 44
Quantitative analysis of landslide impact on vegetation: Insights from field surveys and UAV imagery
Saleh Yousefi, Fumitoshi Imaizumi, Ryushin Hasui, et al.
Ecological Engineering (2025) Vol. 214, pp. 107581-107581
Closed Access
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
Landslide susceptibility prediction using an incremental learning Bayesian Network model considering the continuously updated landslide inventories
Faming Huang, Ye Zhou, Xiaoting Zhou, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 6
Closed Access | Times Cited: 16
Image-driven hydrological parameter coupled identification of flood plain wetland conservation and restoration sites
Swades Pal, Pankaj Singha
Journal of Environmental Management (2022) Vol. 318, pp. 115602-115602
Closed Access | Times Cited: 16
Integrating predictive modeling techniques with geospatial data for landslide susceptibility assessment in northern Pakistan
Aamir Asghar, Lijun Su, Bo Zhao, et al.
Journal of Mountain Science (2023) Vol. 20, Iss. 9, pp. 2603-2627
Closed Access | Times Cited: 8
Improvement of the predictive performance of landslide mapping models in mountainous terrains using cluster sampling
Muhammad Tayyib Riaz, Muhammad Basharat, Quoc Bao Pham, et al.
Geocarto International (2022) Vol. 37, Iss. 26, pp. 12294-12337
Closed Access | Times Cited: 13
Can Machine Learning and PS-InSAR Reliably Stand in for Road Profilometric Surveys?
Nicholas Fiorentini, Mehdi Maboudi, Pietro Leandri, et al.
Sensors (2021) Vol. 21, Iss. 10, pp. 3377-3377
Open Access | Times Cited: 17
Use of joint supervised machine learning algorithms in assessing the geotechnical peculiarities of erodible tropical soils from southeastern Nigeria
Johnbosco C. Egbueri
Geomechanics and Geoengineering (2021) Vol. 18, Iss. 1, pp. 16-33
Closed Access | Times Cited: 16
Occasional but severe: Past debris flows and snow avalanches in the Helmos Mts. (Greece) reconstructed from tree-ring records
Radek Tichavský, Andrea Fabiánová, Aristeidis Koutroulis, et al.
The Science of The Total Environment (2022) Vol. 848, pp. 157759-157759
Closed Access | Times Cited: 12
Uncertainties of Collapse Susceptibility Prediction Based on Remote Sensing and GIS: Effects of Different Machine Learning Models
Wenbin Li, Yu Shi, Faming Huang, et al.
Frontiers in Earth Science (2021) Vol. 9
Open Access | Times Cited: 14
Application of analytical hierarchy process (AHP) in landslide susceptibility mapping for Qazvin province, N Iran
Ebrahim Sharifi Teshnizi, Mohsen Golian, Shahriar Sadeghi, et al.
Elsevier eBooks (2021), pp. 55-95
Closed Access | Times Cited: 13
Mass movement susceptibility prediction and infrastructural risk assessment (IRA) using GIS-based Meta classification algorithms
Sk Ajim Ali, Meriame Mohajane, Farhana Parvin, et al.
Applied Soft Computing (2023) Vol. 145, pp. 110591-110591
Closed Access | Times Cited: 5
A Hot-Spot Analysis of Forest Roads Based on Soil Erosion and Sediment Production
Saleh Yousefi, Sayed Naeim Emami, Mohammad Nekoeimehr, et al.
Land (2024) Vol. 13, Iss. 10, pp. 1583-1583
Open Access | Times Cited: 1
Integrating analytical and machine learning approaches to simulate and predict dam foundation stress and river valley contraction in a large-scale reservoir
Ziwen Zhou, Zhifang Zhou, Sai K. Vanapalli
Bulletin of Engineering Geology and the Environment (2024) Vol. 83, Iss. 11
Closed Access | Times Cited: 1
Assessment of land degradation susceptibility within the Shaqlawa subregion of Northern Iraq-Kurdistan Region via synergistic application of remotely acquired datasets and advanced predictive models
Badeea Abdi, Kamal Kolo, Himan Shahabi
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 11
Closed Access | Times Cited: 1
Identification of gully erosion activity and its influencing factors: A case study of the Sunshui River Basin
Fengjie Fan, Xingli Gu, Jun Luo, et al.
PLoS ONE (2024) Vol. 19, Iss. 11, pp. e0309672-e0309672
Open Access | Times Cited: 1
Spatial distribution and transport characteristics of debris flow sediment using high resolution UAV images in the Ohya debris flow fan
Saleh Yousefi, Fumitoshi Imaizumi, Shoki Takayama
Geomorphology (2024) Vol. 469, pp. 109533-109533
Closed Access | Times Cited: 1
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
Land subsidence susceptibility assessment using advanced artificial intelligence models
Hairuo Yu, Alireza Arabameri, Romulus Costache, et al.
Geocarto International (2022) Vol. 37, Iss. 27, pp. 18067-18093
Closed Access | Times Cited: 6
A Machine Learning Study on Internal Force Characteristics of the Anti-Slide Pile Based on the DOFS-BOTDA Monitoring Technology
Chaoqun Wei, Qinglu Deng, Yueming Yin, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2085-2085
Open Access | Times Cited: 5
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