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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:

Prediction of gully erosion susceptibility mapping using novel ensemble machine learning algorithms
Alireza Arabameri, Subodh Chandra Pal, Romulus Costache, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 469-498
Open Access | Times Cited: 75

Showing 1-25 of 75 citing articles:

Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives
Yassine Himeur, Bhagawat Rimal, Abhishek Tiwary, et al.
Information Fusion (2022) Vol. 86-87, pp. 44-75
Closed Access | Times Cited: 125
A Comprehensive Assessment of XGBoost Algorithm for Landslide Susceptibility Mapping in the Upper Basin of Ataturk Dam, Turkey
R. Can, Sultan Kocaman, Candan Gökçeoğlu
Applied Sciences (2021) Vol. 11, Iss. 11, pp. 4993-4993
Open Access | Times Cited: 119
Forest fire susceptibility mapping with sensitivity and uncertainty analysis using machine learning and deep learning algorithms
Mohd Rihan, Ahmed Ali Bindajam, Swapan Talukdar, et al.
Advances in Space Research (2023) Vol. 72, Iss. 2, pp. 426-443
Closed Access | Times Cited: 45
Machine learning models for gully erosion susceptibility assessment in the Tensift catchment, Haouz Plain, Morocco for sustainable development
Youssef Bammou, Brahim Benzougagh, Abdessalam Ouallali, et al.
Journal of African Earth Sciences (2024) Vol. 213, pp. 105229-105229
Open Access | Times Cited: 21
Machine learning algorithm-based risk assessment of riparian wetlands in Padma River Basin of Northwest Bangladesh
Abu Reza Md. Towfiqul Islam, Swapan Talukdar, Susanta Mahato, et al.
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 26, pp. 34450-34471
Closed Access | Times Cited: 72
Landslide susceptibility mapping using artificial neural network tuned by metaheuristic algorithms
Mohammad Mehrabi, Hossein Moayedi
Environmental Earth Sciences (2021) Vol. 80, Iss. 24
Closed Access | Times Cited: 63
Comparison of Machine Learning Algorithms for Flood Susceptibility Mapping
Seyd Teymoor Seydi, Yousef Kanani‐Sadat, Mahdi Hasanlou, et al.
Remote Sensing (2022) Vol. 15, Iss. 1, pp. 192-192
Open Access | Times Cited: 63
Assessment Analysis of Flood Susceptibility in Tropical Desert Area: A Case Study of Yemen
Ali R. Al-Aizari, Yousef A. Al-Masnay, Ali Aydda, et al.
Remote Sensing (2022) Vol. 14, Iss. 16, pp. 4050-4050
Open Access | Times Cited: 42
SBAS-InSAR based validated landslide susceptibility mapping along the Karakoram Highway: a case study of Gilgit-Baltistan, Pakistan
Isma Kulsoom, Weihua Hua, Sadaqat Hussain, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 37
Snow avalanche susceptibility mapping using novel tree-based machine learning algorithms (XGBoost, NGBoost, and LightGBM) with eXplainable Artificial Intelligence (XAI) approach
Muzaffer Can İban, Süleyman Sefa Bilgilioğlu
Stochastic Environmental Research and Risk Assessment (2023) Vol. 37, Iss. 6, pp. 2243-2270
Closed Access | Times Cited: 31
PS-InSAR-Based Validated Landslide Susceptibility Mapping along Karakorum Highway, Pakistan
Muhammad Afaq Hussain, Zhanlong Chen, Run Wang, et al.
Remote Sensing (2021) Vol. 13, Iss. 20, pp. 4129-4129
Open Access | Times Cited: 49
Gully Erosion Susceptibility Mapping in Highly Complex Terrain Using Machine Learning Models
Annan Yang, Chunmei Wang, Guowei Pang, et al.
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 10, pp. 680-680
Open Access | Times Cited: 40
An ensemble random forest tree with SVM, ANN, NBT, and LMT for landslide susceptibility mapping in the Rangit River watershed, India
Sk Ajim Ali, Farhana Parvin, Quoc Bao Pham, et al.
Natural Hazards (2022) Vol. 113, Iss. 3, pp. 1601-1633
Closed Access | Times Cited: 35
Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale
Sliman Hitouri, Antonietta Varasano, Meriame Mohajane, et al.
ISPRS International Journal of Geo-Information (2022) Vol. 11, Iss. 7, pp. 401-401
Open Access | Times Cited: 35
Mapping of Water-Induced Soil Erosion Using Machine Learning Models: A Case Study of Oum Er Rbia Basin (Morocco)
Ahmed Barakat, Mouadh Rafai, Hassan Mosaid, et al.
Earth Systems and Environment (2022) Vol. 7, Iss. 1, pp. 151-170
Closed Access | Times Cited: 29
A novel hybrid random forest linear model approach for forecasting groundwater fluoride contamination
Mouigni Baraka Nafouanti, Junxia Li, Edwin E. Nyakilla, et al.
Environmental Science and Pollution Research (2023) Vol. 30, Iss. 17, pp. 50661-50674
Closed Access | Times Cited: 19
Potential impacts of future climate on the spatio-temporal variability of landslide susceptibility in Iran using machine learning algorithms and CMIP6 climate-change scenarios
Saeid Janizadeh, Sayed M. Bateni, Changhyun Jun, et al.
Gondwana Research (2023) Vol. 124, pp. 1-17
Closed Access | Times Cited: 17
Flood Susceptibility Map of Periyar River Basin Using Geo-spatial Technology and Machine Learning Approach
S. Sreekala, P. Geetha, M. Dhanya
Remote Sensing in Earth Systems Sciences (2024)
Closed Access | Times Cited: 6
Predictive performance and uncertainty analysis of ensemble models in gully erosion susceptibility assessment
Congtan Liu, Haoming Fan, Yixuan Wang
International Soil and Water Conservation Research (2025)
Open Access
Spatial analysis of flood susceptibility in Coastal area of Pakistan using machine learning models and SAR imagery
Muhammad Afaq Hussain, Zhanlong Chen, Yulong Zhou, et al.
Environmental Earth Sciences (2025) Vol. 84, Iss. 5
Closed Access
Prediction of Groundwater Level and its Correlation with Land Subsidence and Groundwater Quality in Cangzhou, North China Plain, Using Time-Series Long Short-Term Memory Neural Network and Hybrid Models
Mouigni Baraka Nafouanti, Junxia Li, Hamada Chakira, et al.
Natural Resources Research (2025)
Closed Access
Chemical weathering and gully erosion causing land degradation in a complex river basin of Eastern India: an integrated field, analytical and artificial intelligence approach
Subodh Chandra Pal, Rabin Chakrabortty, Alireza Arabameri, et al.
Natural Hazards (2021) Vol. 110, Iss. 2, pp. 847-879
Closed Access | Times Cited: 33
USING MACHINE LEARNING COUPLED WITH REMOTE SENSING FOR FOREST FIRE SUSCEPTIBILITY MAPPING. CASE STUDY TETOUAN PROVINCE, NORTHERN MOROCCO
M. Seddouki, Mohamed Benayad, Zoya Aamir, et al.
˜The œinternational archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences (2023) Vol. XLVIII-4/W6-2022, pp. 333-342
Open Access | Times Cited: 15
Investigation of landslide dam life span using prediction models based on multiple machine learning algorithms
Hao Wu, Tingkai Nian, Zhigang Shan
Geomatics Natural Hazards and Risk (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 12
Gully erosion susceptibility mapping in the Loess Plateau and the Northeast China Mollisol region: Optimal resolution and algorithms, influencing factors and spatial distribution
Annan Yang, Chunmei Wang, Qinke Yang, et al.
Earth Surface Processes and Landforms (2025) Vol. 50, Iss. 1
Closed Access
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