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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:

Modeling gully erosion susceptibility in Phuentsholing, Bhutan using deep learning and basic machine learning algorithms
Sunil Saha, Raju Sarkar, Gautam Thapa, et al.
Environmental Earth Sciences (2021) Vol. 80, Iss. 8
Closed Access | Times Cited: 41

Showing 1-25 of 41 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: 123
Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion
Hamid Gholami, Aliakbar Mohammadifar, Shahram Golzari, et al.
The Science of The Total Environment (2023) Vol. 904, pp. 166960-166960
Closed Access | Times Cited: 44
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
Random Forest–based gully erosion susceptibility assessment across different agro-ecologies of the Upper Blue Nile basin, Ethiopia
Tadesual Asamin Setargie, Atsushi Tsunekawa, Nigussie Haregeweyn, et al.
Geomorphology (2023) Vol. 431, pp. 108671-108671
Open Access | Times Cited: 27
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
Understanding land degradation induced by gully erosion from the perspective of different geoenvironmental factors
Abolfazl Jaafari, Saeid Janizadeh, Hazem Ghassan Abdo, et al.
Journal of Environmental Management (2022) Vol. 315, pp. 115181-115181
Closed Access | Times Cited: 33
Geospatial Modeling of Soil Erosion in Some Part of Abia State (Isuochi Community)
Emmanuel Oluwayinka Akinwale, Chukwudozie Chigozie Blessed
Journal of the Indian Society of Remote Sensing (2025)
Closed Access
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
Evaluating soil erosion zones in the Kangsabati River basin using a stacking framework and SHAP model: a comparative study of machine learning approaches
Javed Mallick, Saeed Alqadhi, Swapan Talukdar, et al.
Environmental Sciences Europe (2025) Vol. 37, Iss. 1
Open Access
Predicting soil erosion susceptibility associated with climate change scenarios in the Central Highlands of Sri Lanka
Sumudu Senanayake, Biswajeet Pradhan
Journal of Environmental Management (2022) Vol. 308, pp. 114589-114589
Closed Access | Times Cited: 25
Examining the role of class imbalance handling strategies in predicting earthquake-induced landslide-prone regions
Quoc Bao Pham, Ömer Ekmekcioğlu, Sk Ajim Ali, et al.
Applied Soft Computing (2023) Vol. 143, pp. 110429-110429
Closed Access | Times Cited: 12
Gully erosion susceptibility assessment based on machine learning-A case study of watersheds in Tuquan County in the black soil region of Northeast China
Congtan Liu, Haoming Fan, Yanyan Jiang, et al.
CATENA (2022) Vol. 222, pp. 106798-106798
Closed Access | Times Cited: 20
Spatial Prediction and Mapping of Gully Erosion Susceptibility Using Machine Learning Techniques in a Degraded Semi-Arid Region of Kenya
Kennedy Were, Syphyline Kebeney, Harrison Churu, et al.
Land (2023) Vol. 12, Iss. 4, pp. 890-890
Open Access | Times Cited: 11
Integration of High-Accuracy Geospatial Data and Machine Learning Approaches for Soil Erosion Susceptibility Mapping in the Mediterranean Region: A Case Study of the Macta Basin, Algeria
Hamza Bouguerra, Salah Eddine Tachi, Hamza Bouchehed, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10388-10388
Open Access | Times Cited: 9
Evaluation of Gully Erosion Susceptibility Using a Maximum Entropy Model in the Upper Mkhomazi River Basin in South Africa
Alice Bernini, Alberto Bosino, G.A. Botha, et al.
ISPRS International Journal of Geo-Information (2021) Vol. 10, Iss. 11, pp. 729-729
Open Access | Times Cited: 20
Deep learning models for large-scale slope instability examination in Western Uttarakhand, India
Vishnu Himanshu Ratnam Pandey, Ashutosh Kainthola, Vikram Sharma, et al.
Environmental Earth Sciences (2022) Vol. 81, Iss. 20
Closed Access | Times Cited: 14
Intelligent rock fracture identification based on image semantic segmentation: methodology and application
Dongdong Pan, Yanhui Li, C. J. Lin, et al.
Environmental Earth Sciences (2023) Vol. 82, Iss. 3
Closed Access | Times Cited: 7
A review of the satellite remote sensing techniques for assessment of runoff and sediment in soil erosion
Cuicui Ji, Yiming Cao, Xiaosong Li, et al.
Journal of Hydrology and Hydromechanics (2024) Vol. 72, Iss. 2, pp. 252-267
Open Access | Times Cited: 2
A machine learning-based spatial statistical method for modelling different phases of gully development in South-Eastern Nigeria
Saheed Adekunle Raji, Akinlabi Akintuyi, Emmanuel O. Wunude, et al.
Ecological Informatics (2023) Vol. 75, pp. 102101-102101
Closed Access | Times Cited: 6
Exploring the Influence of Input Feature Space on CNN‐Based Geomorphic Feature Extraction From Digital Terrain Data
Aaron E. Maxwell, William E. Odom, Charles M. Shobe, et al.
Earth and Space Science (2023) Vol. 10, Iss. 5
Open Access | Times Cited: 6
Snowmelt Flood Susceptibility Assessment in Kunlun Mountains Based on the Swin Transformer Deep Learning Method
Ruibiao Yang, Guoxiong Zheng, Ping Hu, et al.
Remote Sensing (2022) Vol. 14, Iss. 24, pp. 6360-6360
Open Access | Times Cited: 10
Developing a hybrid deep learning model with explainable artificial intelligence (XAI) for enhanced landslide susceptibility modeling and management
Saeed Alqadhi, Javed Mallick, Meshel Q. Alkahtani, et al.
Natural Hazards (2023) Vol. 120, Iss. 4, pp. 3719-3747
Closed Access | Times Cited: 4
An integrated assessment of erosion drivers facilitating gully expansion rates—A near century multi‐temporal analysis from South Africa
Debbie Claassen, G.A. Botha, Bastien Linol
Land Degradation and Development (2024) Vol. 35, Iss. 11, pp. 3675-3699
Open Access | Times Cited: 1
Interpretation of Bayesian-optimized deep learning models for enhancing soil erosion susceptibility prediction and management: a case study of Eastern India
Meshel Q. Alkahtani, Javed Mallick, Saeed Alqadhi, et al.
Geocarto International (2024) Vol. 39, Iss. 1
Open Access | Times Cited: 1
Integrated machine learning and geospatial analysis enhanced gully erosion susceptibility modeling in the Erer watershed in Eastern Ethiopia
Tadele Bedo Gelete, Pernaidu Pasala, Nigus Gebremedhn Abay, et al.
Frontiers in Environmental Science (2024) Vol. 12
Open Access | Times Cited: 1
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