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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:

Hybrid support vector regression models with algorithm of innovative gunner for the simulation of groundwater level
Thendiyath Roshni, Ehsan Mirzania, Mahsa Hasanpour Kashani, et al.
Acta Geophysica (2022) Vol. 70, Iss. 4, pp. 1885-1898
Closed Access | Times Cited: 21

Showing 21 citing articles:

Smart Water Resource Management Using Artificial Intelligence—A Review
Siva Rama Krishnan Somayaji, M. K. Nallakaruppan, Rajeswari Chengoden, et al.
Sustainability (2022) Vol. 14, Iss. 20, pp. 13384-13384
Open Access | Times Cited: 111
A Novel Hybrid Algorithms for Groundwater Level Prediction
Mohsen Saroughi, Ehsan Mirzania, Dinesh Kumar Vishwakarma, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2023) Vol. 47, Iss. 5, pp. 3147-3164
Closed Access | Times Cited: 27
Revolutionizing Groundwater Management with Hybrid AI Models: A Practical Review
Mojtaba Zaresefat, Reza Derakhshani
Water (2023) Vol. 15, Iss. 9, pp. 1750-1750
Open Access | Times Cited: 27
A novel hybrid AIG-SVR model for estimating daily reference evapotranspiration
Ehsan Mirzania, Dinesh Kumar Vishwakarma, Quynh-Anh Thi Bui, et al.
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 5
Closed Access | Times Cited: 25
Shannon entropy of performance metrics to choose the best novel hybrid algorithm to predict groundwater level (case study: Tabriz plain, Iran)
Mohsen Saroughi, Ehsan Mirzania, Mohammed Achite, et al.
Environmental Monitoring and Assessment (2024) Vol. 196, Iss. 3
Open Access | Times Cited: 9
A soft-sensor for sustainable operation of coagulation and flocculation units
Maliheh Arab, Hadi Akbarian, Mohammad Gheibi, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105315-105315
Closed Access | Times Cited: 27
Biohydrogen from food waste: Modeling and estimation by machine learning based super learner approach
Nahid Sultana, S. M. Zakir Hossain, Sumayh S. Aljameel, et al.
International Journal of Hydrogen Energy (2023) Vol. 48, Iss. 49, pp. 18586-18600
Closed Access | Times Cited: 18
River Water Temperature Prediction Using a Hybrid Model Based on Variational Mode Decomposition (VMD) and Outlier Robust Extreme Learning Machine
Ehsan Mirzania, Thendiyath Roshni, Mohammad Ali Ghorbani, et al.
Environmental Processes (2024) Vol. 11, Iss. 3
Closed Access | Times Cited: 5
A hybrid wavelet–machine learning model for qanat water flow prediction
Saeideh Samani, Meysam Vadiati, Madjid Delkash, et al.
Acta Geophysica (2022) Vol. 71, Iss. 4, pp. 1895-1913
Closed Access | Times Cited: 26
Correlation–based Reliability Index Equipped with Machine Learning Methods to Complete the Groundwater Level Gaps
Seyed Hossein Hosseini, Ramtin Moeini
Results in Engineering (2025), pp. 104146-104146
Open Access
Enhancement groundwater level prediction using hybrid ANN-HHO model: case study (Shabestar Plain in Iran)
Ehsan Mirzania, Mohammad Ali Ghorbani, Esmaeil Asadi
Arabian Journal of Geosciences (2023) Vol. 16, Iss. 8
Closed Access | Times Cited: 8
Prediction of monthly groundwater level using a new hybrid intelligent approach in the Tabriz plain, Iran
Ehsan Mirzania, Mohammed Achite, Nehal Elshaboury, et al.
Neural Computing and Applications (2024) Vol. 36, Iss. 20, pp. 12609-12624
Closed Access | Times Cited: 2
Physics-informed neural networks in groundwater flow modeling: Advantages and future directions
Ahmed Ali, Farhad Jazaei, T. Prabhakar Clement, et al.
Groundwater for Sustainable Development (2024) Vol. 25, pp. 101172-101172
Closed Access | Times Cited: 1
The Taylor Diagram with Distance: A New Way to Compare the Performance of Models
Mohammad Ali Ghorbani, Rasoul Jani, Farzan Mohajeri, et al.
Iranian Journal of Science and Technology Transactions of Civil Engineering (2024)
Closed Access | Times Cited: 1
A Hybrid Machine Learning and Regression Approach for Validating a Multi-Dimensional Crime Index in the Context of Crime Against Women
Poonam K. Saravag, B. Rushi Kumar
IEEE Access (2024) Vol. 12, pp. 117955-117969
Open Access | Times Cited: 1
Forecasting of lake water level based on a hybrid model of innovative gunner algorithm
Ehsan Mirzania, Thendiyath Roshni, Mahsa Hasanpour Kashani, et al.
Acta Geophysica (2023) Vol. 72, Iss. 4, pp. 2695-2713
Closed Access | Times Cited: 4
Piezometric depth modeling of groundwater using monthly variables of precipitation and water consumption (case study: Sarab Plain aquifer)
Sepideh Khosravi, Ahmad Fakheri Fard, Yagob Dinpashoh
Discover Water (2024) Vol. 4, Iss. 1
Open Access
Evaluate effect of 126 pre-processing methods on various artificial intelligence models accuracy versus normal mode to predict groundwater level (case study: Hamedan-Bahar Plain, Iran)
Mohsen Saroughi, Ehsan Mirzania, Mohammed Achite, et al.
Heliyon (2024) Vol. 10, Iss. 7, pp. e29006-e29006
Open Access
Hybrid model of support vector regression and innovative gunner optimization algorithm for estimating ski-jump spillway scour depth
Lirong Wang, Guodao Zhang, Xuesong Yin, et al.
Applied Water Science (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 1
Shannon Entropy of Performance Metrics to Choose the Best Novel Hybrid Algorithm to Predict Groundwater Level (Case study: Tabriz plain, Iran)
Mohsen Saroughi, Mohammed Achite, Ehsan Mirzania, et al.
Research Square (Research Square) (2023)
Open Access
Navigating the Kikuletwa River Levels with Deep Learning: An LSTM-Based Approach to Forecasting
Lawrence Mdegela, Erik Mannens, Yorick De Bock, et al.
(2023), pp. 1-3
Closed Access
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