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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:

Gully Head-Cut Distribution Modeling Using Machine Learning Methods—A Case Study of N.W. Iran
Alireza Arabameri, Wei Chen, Thomas Blaschke, et al.
Water (2019) Vol. 12, Iss. 1, pp. 16-16
Open Access | Times Cited: 39

Showing 1-25 of 39 citing articles:

Landslide Susceptibility Evaluation and Management Using Different Machine Learning Methods in The Gallicash River Watershed, Iran
Alireza Arabameri, Sunil Saha, Jagabandhu Roy, et al.
Remote Sensing (2020) Vol. 12, Iss. 3, pp. 475-475
Open Access | Times Cited: 182
Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran
Viet‐Ha Nhu, Ataollah Shirzadi, Himan Shahabi, et al.
Forests (2020) Vol. 11, Iss. 4, pp. 421-421
Open Access | Times Cited: 115
Predicting the deforestation probability using the binary logistic regression, random forest, ensemble rotational forest, REPTree: A case study at the Gumani River Basin, India
Sunil Saha, Mantosh Saha, Kaustuv Mukherjee, et al.
The Science of The Total Environment (2020) Vol. 730, pp. 139197-139197
Closed Access | Times Cited: 109
Assessment of climate change impacts on the streamflow for the Mun River in the Mekong Basin, Southeast Asia: Using SWAT model
Chao-Yue Li, Haiyan Fang
CATENA (2021) Vol. 201, pp. 105199-105199
Closed Access | Times Cited: 105
Machine Learning-Based Gully Erosion Susceptibility Mapping: A Case Study of Eastern India
Sunil Saha, Jagabandhu Roy, Alireza Arabameri, et al.
Sensors (2020) Vol. 20, Iss. 5, pp. 1313-1313
Open Access | Times Cited: 95
Novel Ensemble of MCDM-Artificial Intelligence Techniques for Groundwater-Potential Mapping in Arid and Semi-Arid Regions (Iran)
Alireza Arabameri, Saro Lee, John P. Tiefenbacher, et al.
Remote Sensing (2020) Vol. 12, Iss. 3, pp. 490-490
Open Access | Times Cited: 80
Modeling Spatial Flood using Novel Ensemble Artificial Intelligence Approaches in Northern Iran
Alireza Arabameri, Sunil Saha, Kaustuv Mukherjee, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3423-3423
Open Access | Times Cited: 70
Short-Term Spatio-Temporal Drought Forecasting Using Random Forests Model at New South Wales, Australia
Abhirup Dikshit, Biswajeet Pradhan, Abdullah Alamri
Applied Sciences (2020) Vol. 10, Iss. 12, pp. 4254-4254
Open Access | Times Cited: 59
Novel Ensemble Approaches of Machine Learning Techniques in Modeling the Gully Erosion Susceptibility
Alireza Arabameri, Omid Asadi Nalivan, Sunil Saha, et al.
Remote Sensing (2020) Vol. 12, Iss. 11, pp. 1890-1890
Open Access | Times Cited: 52
Novel Ensemble of Multivariate Adaptive Regression Spline with Spatial Logistic Regression and Boosted Regression Tree for Gully Erosion Susceptibility
Paramita Roy, Subodh Chandra Pal, Alireza Arabameri, et al.
Remote Sensing (2020) Vol. 12, Iss. 20, pp. 3284-3284
Open Access | Times Cited: 50
A methodological comparison of head-cut based gully erosion susceptibility models: Combined use of statistical and artificial intelligence
Alireza Arabameri, Artemi Cerdà, Biswajeet Pradhan, et al.
Geomorphology (2020) Vol. 359, pp. 107136-107136
Open Access | Times Cited: 46
Hybrid Computational Intelligence Models for Improvement Gully Erosion Assessment
Alireza Arabameri, Wei Chen, Luigi Lombardo, et al.
Remote Sensing (2020) Vol. 12, Iss. 1, pp. 140-140
Open Access | Times Cited: 42
Evaluation of Recent Advanced Soft Computing Techniques for Gully Erosion Susceptibility Mapping: A Comparative Study
Alireza Arabameri, Thomas Blaschke, Biswajeet Pradhan, et al.
Sensors (2020) Vol. 20, Iss. 2, pp. 335-335
Open Access | Times Cited: 42
Integration of artificial intelligence with meta classifiers for the gully erosion susceptibility assessment in Hinglo river basin, Eastern India
Jagabandhu Roy, Sunil Saha
Advances in Space Research (2020) Vol. 67, Iss. 1, pp. 316-333
Closed Access | Times Cited: 42
Long-term trend of heat waves and potential effects on phytoplankton blooms in Lake Qiandaohu, a key drinking water reservoir
Qunfang Huang, Na Li, Yuan Li
Environmental Science and Pollution Research (2021) Vol. 28, Iss. 48, pp. 68448-68459
Open Access | Times Cited: 28
Credal decision tree based novel ensemble models for spatial assessment of gully erosion and sustainable management
Alireza Arabameri, Nitheshnirmal Sãdhasivam, Hamza Turabieh, et al.
Scientific Reports (2021) Vol. 11, Iss. 1
Open Access | Times Cited: 27
GIS-based and Naïve Bayes for nitrogen soil mapping in Lendah, Indonesia
Anton Yudhana, Dedy Sulistyo, Ilham Mufandi
Sensing and Bio-Sensing Research (2021) Vol. 33, pp. 100435-100435
Open Access | Times Cited: 27
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
Spatial prediction of shallow landslide: application of novel rotational forest-based reduced error pruning tree
Alireza Arabameri, M. Santosh, Sunil Saha, et al.
Geomatics Natural Hazards and Risk (2021) Vol. 12, Iss. 1, pp. 1343-1370
Open Access | Times Cited: 19
Predicting wetland area and water depth in Barind plain of India
Pankaj Singha, Swades Pal
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 47, pp. 70933-70949
Closed Access | Times Cited: 13
Land subsidence susceptibility mapping: a new approach to improve decision stump classification (DSC) performance and combine it with four machine learning algorithms
Rui Zhao, Alireza Arabameri, M. Santosh
Environmental Science and Pollution Research (2024) Vol. 31, Iss. 10, pp. 15443-15466
Open Access | Times Cited: 2
Is digital shoreline analysis system “fit” for gully erosion assessment?
Ionuţ Cristi Nicu
CATENA (2021) Vol. 203, pp. 105307-105307
Open Access | Times Cited: 16
Identifying sensitivity of factor cluster based gully erosion susceptibility models
Swades Pal, Satyajit Paul, Sandipta Debanshi
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 60, pp. 90964-90983
Closed Access | Times Cited: 11
A Non-singleton Type-3 Fuzzy Modeling: Optimized by Square-Root Cubature Kalman Filter
Aoqi Xu, Khalid A. Alattas, Nasreen Kausar, et al.
Intelligent Automation & Soft Computing (2023) Vol. 37, Iss. 1, pp. 17-32
Closed Access | Times Cited: 5
A comprehensive framework for multiscale soil erosion modeling: A case study of Pag Island, Croatia
Fran Domazetović, Ante Šiljeg, Ivan Marić
Elsevier eBooks (2024), pp. 127-157
Closed Access | Times Cited: 1
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