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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:

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

Showing 1-25 of 97 citing articles:

Apple leaf disease recognition method with improved residual network
Helong Yu, Xianhe Cheng, Chengcheng Chen, et al.
Multimedia Tools and Applications (2022) Vol. 81, Iss. 6, pp. 7759-7782
Closed Access | Times Cited: 110
Delineation of groundwater potential zonation using geoinformatics and AHP techniques with remote sensing data
Dechasa Diriba, Shankar Karuppannan, Tariku Takele, et al.
Heliyon (2024) Vol. 10, Iss. 3, pp. e25532-e25532
Open Access | Times Cited: 23
Landslide susceptibility assessment in the Himalayan range based along Kasauli – Parwanoo road corridor using weight of evidence, information value, and frequency ratio
Abdullah H. Alsabhan, Kanwarpreet Singh, Abhishek Sharma, et al.
Journal of King Saud University - Science (2021) Vol. 34, Iss. 2, pp. 101759-101759
Open Access | Times Cited: 58
Assessment of groundwater potential modeling using support vector machine optimization based on Bayesian multi-objective hyperparameter algorithm
Duong Tran Anh, Manish Pandey, Varun Narayan Mishra, et al.
Applied Soft Computing (2022) Vol. 132, pp. 109848-109848
Closed Access | Times Cited: 51
Artificial intelligence, machine learning and big data in natural resources management: A comprehensive bibliometric review of literature spanning 1975–2022
Dharen Kumar Pandey, Ahmed Imran Hunjra, Ratikant Bhaskar, et al.
Resources Policy (2023) Vol. 86, pp. 104250-104250
Closed Access | Times Cited: 26
Using different machine learning algorithms to predict the rheological behavior of oil SAE40-based nano-lubricant in the presence of MWCNT and MgO nanoparticles
Mohammadreza Baghoolizadeh, Navid Nasajpour-Esfahani, Mostafa Pirmoradian, et al.
Tribology International (2023) Vol. 187, pp. 108759-108759
Closed Access | Times Cited: 25
A multi-objective and CFD based optimization of roof-flap geometry and position for simultaneous drag and lift reduction
Mohammad Rostamzadeh‐Renani, Mohammadreza Baghoolizadeh, S. Mohammad Sajadi, et al.
Propulsion and Power Research (2024) Vol. 13, Iss. 1, pp. 26-45
Open Access | Times Cited: 12
Prediction and extensive analysis of MWCNT-MgO/oil SAE 50 hybrid nano-lubricant rheology utilizing machine learning and genetic algorithms to find ideal attributes
Mohammadreza Baghoolizadeh, Mostafa Pirmoradian, S. Mohammad Sajadi, et al.
Tribology International (2024) Vol. 195, pp. 109582-109582
Closed Access | Times Cited: 10
Assessment of groundwater potential and determination of influencing factors using remote sensing and machine learning algorithms: A study of Nainital district of Uttarakhand state, India
Yatendra Sharma, Raihan Ahmed, Tamal Kanti Saha, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101094-101094
Closed Access | Times Cited: 9
Support vector machine and data assimilation framework for Groundwater Level Forecasting using GRACE satellite data
Di Liu, Ashok K. Mishra, Zhongbo Yu, et al.
Journal of Hydrology (2021) Vol. 603, pp. 126929-126929
Open Access | Times Cited: 51
Evaluation of debris flow and landslide hazards using ensemble framework of Bayesian- and tree-based models
Subodh Chandra Pal, Rabin Chakrabortty, Asish Saha, et al.
Bulletin of Engineering Geology and the Environment (2022) Vol. 81, Iss. 1
Closed Access | Times Cited: 29
Ensemble Machine Learning Techniques for Accurate and Efficient Detection of Botnet Attacks in Connected Computers
Stephen Afrifa, V. Vijayakumar, Peter Appiahene, et al.
Eng—Advances in Engineering (2023) Vol. 4, Iss. 1, pp. 650-664
Open Access | Times Cited: 21
Using an ensemble machine learning model to delineate groundwater potential zones in desert fringes of East Esna-Idfu area, Nile valley, Upper Egypt
Hesham Morgan, Ahmed Madani, Hussien M. Hussien, et al.
Geoscience Letters (2023) Vol. 10, Iss. 1
Open Access | Times Cited: 20
A novel approach for flood hazard assessment using hybridized ensemble models and feature selection algorithms
A. Habibi, M. R. Delavar, Borzoo Nazari, et al.
International Journal of Applied Earth Observation and Geoinformation (2023) Vol. 122, pp. 103443-103443
Open Access | Times Cited: 20
Groundwater potential mapping in the Central Highlands of Vietnam using spatially explicit machine learning
Tran Xuan Bien, Abolfazl Jaafari, Tran Van Phong, et al.
Earth Science Informatics (2023) Vol. 16, Iss. 1, pp. 131-146
Closed Access | Times Cited: 18
Mapping Groundwater Potential Zones in the Habawnah Basin of Southern Saudi Arabia: An AHP- and GIS-based Approach
Abdulnoor A. J. Ghanim, Ahmed M. Al‐Areeq, Mohammed Benaafi, et al.
Sustainability (2023) Vol. 15, Iss. 13, pp. 10075-10075
Open Access | Times Cited: 16
Application of bagging and boosting ensemble machine learning techniques for groundwater potential mapping in a drought-prone agriculture region of eastern India
Krishnagopal Halder, Amit Kumar Srivastava, Anitabha Ghosh, et al.
Environmental Sciences Europe (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 7
Application of hybrid model-based machine learning for groundwater potential prediction in the north central of Vietnam
Huu Duy Nguyen, Van Hong Nguyen, Quan Vu Viet Du, et al.
Earth Science Informatics (2024) Vol. 17, Iss. 2, pp. 1569-1589
Closed Access | Times Cited: 6
Application of analytical hierarchy process to assess groundwater potential for a sustainable management in the Menoua Division
Dady Herman Agogue Feujio, Zakari Arétouyap, Sandra Céleste Tchato, et al.
Heliyon (2024) Vol. 10, Iss. 2, pp. e24310-e24310
Open Access | Times Cited: 6
Enhancing groundwater level prediction accuracy using interpolation techniques in deep learning models
Erfan Abdi, Mumtaz Ali, Celso Augusto Guimarães Santos, et al.
Groundwater for Sustainable Development (2024) Vol. 26, pp. 101213-101213
Closed Access | Times Cited: 6
Harnessing Machine Learning for Assessing Climate Change Influences on Groundwater Resources: A Comprehensive Review
Apoorva Bamal, Md Galal Uddin, Agnieszka I. Olbert
Heliyon (2024) Vol. 10, Iss. 17, pp. e37073-e37073
Open Access | Times Cited: 6
Hybrid deep learning model using SPCAGAN augmentation for insider threat analysis
R. Gayathri, Atul Sajjanhar, Yong Xiang
Expert Systems with Applications (2024) Vol. 249, pp. 123533-123533
Open Access | Times Cited: 5
Analysis of the Application Efficiency of TensorFlow and PyTorch in Convolutional Neural Network
Ovidiu Constantin Novac, Mihai Cristian Chirodea, Cornelia Mihaela Novac, et al.
Sensors (2022) Vol. 22, Iss. 22, pp. 8872-8872
Open Access | Times Cited: 24
Applications of artificial intelligence technologies in water environments: From basic techniques to novel tiny machine learning systems
Majid Bagheri, Nakisa Farshforoush, Karim Bagheri, et al.
Process Safety and Environmental Protection (2023) Vol. 180, pp. 10-22
Open Access | Times Cited: 14
Regression modeling and multi-objective optimization of rheological behavior of non-Newtonian hybrid antifreeze: Using different neural networks and evolutionary algorithms
WeiHong Jin, Ali Basem, Mohammadreza Baghoolizadeh, et al.
International Communications in Heat and Mass Transfer (2024) Vol. 155, pp. 107578-107578
Closed Access | Times Cited: 5
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