Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models
Viet‐Ha Nhu, Omid Rahmati, Fatemeh Falah, et al.
Water (2020) Vol. 12, Iss. 4, pp. 985-985
Open Access | Times Cited: 71

Showing 1-25 of 71 citing articles:

Ensemble machine learning paradigms in hydrology: A review
Mohammad Zounemat‐Kermani, Okke Batelaan, Marzieh Fadaee, et al.
Journal of Hydrology (2021) Vol. 598, pp. 126266-126266
Open Access | Times Cited: 440
Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
Viet‐Ha Nhu, Ataollah Shirzadi, Himan Shahabi, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 8, pp. 2749-2749
Open Access | Times Cited: 221
Wastewater—Sources, Toxicity, and Their Consequences to Human Health
Rama Rao Karri, R. Gobinath, Mohammad Hadi Dehghani
Elsevier eBooks (2021), pp. 3-33
Closed Access | Times Cited: 120
An integrated approach to explore the suitability of nitrate-contaminated groundwater for drinking purposes in a semiarid region of India
Balamurugan Panneerselvam, Kirubakaran Muniraj, D. Karunanidhi, et al.
Environmental Geochemistry and Health (2022) Vol. 45, Iss. 3, pp. 647-663
Open Access | Times Cited: 93
Critical role of climate factors for groundwater potential mapping in arid regions: Insights from random forest, XGBoost, and LightGBM algorithms
Xu Guo, Xiaofan Gui, Hanxiang Xiong, et al.
Journal of Hydrology (2023) Vol. 621, pp. 129599-129599
Closed Access | Times Cited: 80
Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment
Viet‐Ha Nhu, Ayub Mohammadi, Himan Shahabi, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 14, pp. 4933-4933
Open Access | Times Cited: 121
GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran
Xinxiang Lei, Wei Chen, Mohammadtaghi Avand, et al.
Remote Sensing (2020) Vol. 12, Iss. 15, pp. 2478-2478
Open Access | Times Cited: 121
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
Using Analytical Hierarchy Process and Multi-Influencing Factors to Map Groundwater Recharge Zones in a Semi-Arid Mediterranean Coastal Aquifer
Adel Zghibi, Ali Mirchi, Mohamed Haythem Msaddek, et al.
Water (2020) Vol. 12, Iss. 9, pp. 2525-2525
Open Access | Times Cited: 113
Evaluation efficiency of hybrid deep learning algorithms with neural network decision tree and boosting methods for predicting groundwater potential
Yunzhi Chen, Wei Chen, Subodh Chandra Pal, et al.
Geocarto International (2021) Vol. 37, Iss. 19, pp. 5564-5584
Closed Access | Times Cited: 97
Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms
Viet‐Ha Nhu, Ayub Mohammadi, Himan Shahabi, et al.
Forests (2020) Vol. 11, Iss. 8, pp. 830-830
Open Access | Times Cited: 78
Comparison of Support Vector Machine, Bayesian Logistic Regression, and Alternating Decision Tree Algorithms for Shallow Landslide Susceptibility Mapping along a Mountainous Road in the West of Iran
Viet‐Ha Nhu, Danesh Zandi, Himan Shahabi, et al.
Applied Sciences (2020) Vol. 10, Iss. 15, pp. 5047-5047
Open Access | Times Cited: 71
A new method to map groundwater-dependent ecosystem zones in semi-arid environments: A case study in Chile
Iongel Duran-Llacer, José Luis Arumí, Loretto Arriagada, et al.
The Science of The Total Environment (2021) Vol. 816, pp. 151528-151528
Closed Access | Times Cited: 62
Evaluation of gene expression programming and artificial neural networks in PyTorch for the prediction of local scour depth around a bridge pier
Waqed H. Hassan, Hamid H. Hussein, Musa H. Alshammari, et al.
Results in Engineering (2022) Vol. 13, pp. 100353-100353
Open Access | Times Cited: 50
Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms
Viet‐Ha Nhu, Himan Shahabi, Ebrahim Nohani, et al.
ISPRS International Journal of Geo-Information (2020) Vol. 9, Iss. 8, pp. 479-479
Open Access | Times Cited: 70
Prediction and evaluation of groundwater characteristics using the radial basic model in Semi-arid region, India
Balamurugan Panneerselvam, Kirubakaran Muniraj, Chaitanya B. Pande, et al.
International Journal of Environmental & Analytical Chemistry (2021) Vol. 103, Iss. 6, pp. 1377-1393
Closed Access | Times Cited: 53
Emerging Harris Hawks Optimization based load demand forecasting and optimal sizing of stand-alone hybrid renewable energy systems– A case study of Kano and Abuja, Nigeria
Sani I. Abba, Bara’u Gafai Najashi, Abdulazeez Rotimi, et al.
Results in Engineering (2021) Vol. 12, pp. 100260-100260
Open Access | Times Cited: 46
Artificial intelligence models for suspended river sediment prediction: state-of-the art, modeling framework appraisal, and proposed future research directions
Tao Hai, Zainab Al-Khafaji, Chongchong Qi, et al.
Engineering Applications of Computational Fluid Mechanics (2021) Vol. 15, Iss. 1, pp. 1585-1612
Open Access | Times Cited: 46
Spatial prediction of groundwater potentiality using machine learning methods with Grey Wolf and Sparrow Search Algorithms
Rui Liu, Gulin Li, Liangshuai Wei, et al.
Journal of Hydrology (2022) Vol. 610, pp. 127977-127977
Closed Access | Times Cited: 38
Application of artificial intelligence models for prediction of groundwater level fluctuations: case study (Tehran-Karaj alluvial aquifer)
Meysam Vadiati, Zahra Rajabi Yami, Effat Eskandari, et al.
Environmental Monitoring and Assessment (2022) Vol. 194, Iss. 9
Closed Access | Times Cited: 38
Assessing wetland habitat vulnerability in moribund Ganges delta using bivariate models and machine learning algorithms
Swades Pal, Satyajit Paul
Ecological Indicators (2020) Vol. 119, pp. 106866-106866
Open Access | Times Cited: 42
Spatio-Temporal Assessment of Groundwater Potential Zone in the Drought-Prone Area of Bangladesh Using GIS-Based Bivariate Models
Naser Ahmed, Muhammad Al-Amin Hoque, Biswajeet Pradhan, et al.
Natural Resources Research (2021) Vol. 30, Iss. 5, pp. 3315-3337
Closed Access | Times Cited: 41
Seismic Vulnerability Assessment and Mapping of Gyeongju, South Korea Using Frequency Ratio, Decision Tree, and Random Forest
Jihye Han, Jinsoo Kim, So-Young Park, et al.
Sustainability (2020) Vol. 12, Iss. 18, pp. 7787-7787
Open Access | Times Cited: 40
Assessment of influencing factor method for delineation of groundwater potential zones with geospatial techniques. Case study of Bostanlik district, Uzbekistan
Bokhir Alikhanov, Mukhiddin Juliev, Shahzoda Alikhanova, et al.
Groundwater for Sustainable Development (2021) Vol. 12, pp. 100548-100548
Closed Access | Times Cited: 37
Groundwater Potential Mapping Using GIS‐Based Hybrid Artificial Intelligence Methods
Tran Van Phong, Binh Thai Pham, Phan Trọng Trịnh, et al.
Ground Water (2021) Vol. 59, Iss. 5, pp. 745-760
Closed Access | Times Cited: 35
Page 1 - Next Page

Scroll to top