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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:

Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran
Omid Rahmati, Hamid Reza Pourghasemi, Assefa M. Melesse
CATENA (2015) Vol. 137, pp. 360-372
Closed Access | Times Cited: 532

Showing 1-25 of 532 citing articles:

GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran
Seyed Amir Naghibi, Hamid Reza Pourghasemi, Barnali Dixon
Environmental Monitoring and Assessment (2015) Vol. 188, Iss. 1
Closed Access | Times Cited: 612
GIS and AHP Techniques Based Delineation of Groundwater Potential Zones: a case study from Southern Western Ghats, India
P. Arulbalaji, D. Padmalal, K. Sreelash
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 543
Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping
Seyed Amir Naghibi, Kourosh Ahmadi, Alireza Daneshi
Water Resources Management (2017) Vol. 31, Iss. 9, pp. 2761-2775
Closed Access | Times Cited: 435
Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques
Wei Chen, Hamid Reza Pourghasemi, Aiding Kornejady, et al.
Geoderma (2017) Vol. 305, pp. 314-327
Closed Access | Times Cited: 362
Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling
Hamid Reza Pourghasemi, Saleh Yousefi, Aiding Kornejady, et al.
The Science of The Total Environment (2017) Vol. 609, pp. 764-775
Closed Access | Times Cited: 307
Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran
Hamid Reza Pourghasemi, N. Kerle
Environmental Earth Sciences (2016) Vol. 75, Iss. 3
Closed Access | Times Cited: 296
GIS-based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models
Wei Chen, Hui Li, Enke Hou, et al.
The Science of The Total Environment (2018) Vol. 634, pp. 853-867
Open Access | Times Cited: 292
Spatial prediction of groundwater potential mapping based on convolutional neural network (CNN) and support vector regression (SVR)
Mahdi Panahi, Nitheshnirmal Sãdhasivam, Hamid Reza Pourghasemi, et al.
Journal of Hydrology (2020) Vol. 588, pp. 125033-125033
Closed Access | Times Cited: 290
Frequency ratio model for groundwater potential mapping and its sustainable management in cold desert, India
Balamurugan Guru, Karthik Seshan, Somnath Bera
Journal of King Saud University - Science (2016) Vol. 29, Iss. 3, pp. 333-347
Open Access | Times Cited: 253
Landslide susceptibility assessment using maximum entropy model with two different data sampling methods
Aiding Kornejady, Majid Ownegh, Abdolreza Bahremand
CATENA (2017) Vol. 152, pp. 144-162
Closed Access | Times Cited: 241
Gully erosion susceptibility mapping: the role of GIS-based bivariate statistical models and their comparison
Omid Rahmati, Ali Haghizadeh, Hamid Reza Pourghasemi, et al.
Natural Hazards (2016) Vol. 82, Iss. 2, pp. 1231-1258
Closed Access | Times Cited: 232
Groundwater system and climate change: Present status and future considerations
Amobichukwu C. Amanambu, Omon A. Obarein, Joann Mossa, et al.
Journal of Hydrology (2020) Vol. 589, pp. 125163-125163
Closed Access | Times Cited: 212
Spatial modelling of gully erosion in Mazandaran Province, northern Iran
Mohsen Zabihi, Fahimeh Mirchooli, Alireza Motevalli, et al.
CATENA (2017) Vol. 161, pp. 1-13
Closed Access | Times Cited: 207
Groundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS
Ali Golkarian, Seyed Amir Naghibi, Bahareh Kalantar, et al.
Environmental Monitoring and Assessment (2018) Vol. 190, Iss. 3
Closed Access | Times Cited: 206
A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping
Seyed Amir Naghibi, Davood Davoodi Moghaddam, Bahareh Kalantar, et al.
Journal of Hydrology (2017) Vol. 548, pp. 471-483
Closed Access | Times Cited: 195
GIS-based groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches
Alireza Arabameri, Khalil Rezaei, Artemi Cerdà, et al.
The Science of The Total Environment (2018) Vol. 658, pp. 160-177
Open Access | Times Cited: 195
GIS-based multivariate adaptive regression spline and random forest models for groundwater potential mapping in Iran
Mohsen Zabihi, Hamid Reza Pourghasemi, Zohre Sadat Pourtaghi, et al.
Environmental Earth Sciences (2016) Vol. 75, Iss. 8
Closed Access | Times Cited: 192
Electricity Theft Detection in Power Grids with Deep Learning and Random Forests
LI Shuan, Yinghua Han, Xu Yao, et al.
Journal of Electrical and Computer Engineering (2019) Vol. 2019, pp. 1-12
Open Access | Times Cited: 187
Assessment of groundwater potential zones in coal mining impacted hard-rock terrain of India by integrating geospatial and analytic hierarchy process (AHP) approach
Akshay Kumar, Akhouri Pramod Krishna
Geocarto International (2016) Vol. 33, Iss. 2, pp. 105-129
Closed Access | Times Cited: 186
Compressive Strength of Fly‐Ash‐Based Geopolymer Concrete by Gene Expression Programming and Random Forest
Mohsin Ali Khan, Shazim Ali Memon, Furqan Farooq, et al.
Advances in Civil Engineering (2021) Vol. 2021, Iss. 1
Open Access | Times Cited: 181
Data-Driven Decision Making in Precision Agriculture: The Rise of Big Data in Agricultural Systems
Nicoleta Tantalaki, Stavros Souravlas, Μanos Roumeliotis
Journal of Agricultural & Food Information (2019) Vol. 20, Iss. 4, pp. 344-380
Closed Access | Times Cited: 179
Spatial prediction of groundwater potentiality using ANFIS ensembled with teaching-learning-based and biogeography-based optimization
Wei Chen, Mahdi Panahi, Khabat Khosravi, et al.
Journal of Hydrology (2019) Vol. 572, pp. 435-448
Closed Access | Times Cited: 177
GIS-based groundwater potential mapping using artificial neural network and support vector machine models: the case of Boryeong city in Korea
Saro Lee, Soo-Min Hong, Hyung-Sup Jung
Geocarto International (2017) Vol. 33, Iss. 8, pp. 847-861
Closed Access | Times Cited: 174
Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach
Shaghayegh Miraki, Sasan Hedayati Zanganeh, Kamran Chapi, et al.
Water Resources Management (2018) Vol. 33, Iss. 1, pp. 281-302
Closed Access | Times Cited: 173
Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping
Phong Tung Nguyen, Duong Hai Ha, Mohammadtaghi Avand, et al.
Applied Sciences (2020) Vol. 10, Iss. 7, pp. 2469-2469
Open Access | Times Cited: 155
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