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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:

ON THE EVALUATION OF THE GRADIENT TREE BOOSTING MODEL FOR GROUNDWATER LEVEL FORECASTING
Sujay Raghavendra Naganna, Beste Hamiye Beyaztaş, Neeraj Dhanraj Bokde, et al.
Knowledge-Based Engineering and Sciences (2020) Vol. 1, Iss. 01, pp. 48-57
Open Access | Times Cited: 47

Showing 1-25 of 47 citing articles:

Groundwater level prediction using machine learning models: A comprehensive review
Tao Hai, Mohammed Majeed Hameed, Haydar Abdulameer Marhoon, et al.
Neurocomputing (2022) Vol. 489, pp. 271-308
Open Access | Times Cited: 265
Deep learning versus gradient boosting machine for pan evaporation prediction
Anurag Malik, Mandeep Kaur Saggi, Sufia Rehman, et al.
Engineering Applications of Computational Fluid Mechanics (2022) Vol. 16, Iss. 1, pp. 570-587
Open Access | Times Cited: 79
Forecasting weekly reference evapotranspiration using Auto Encoder Decoder Bidirectional LSTM model hybridized with a Boruta-CatBoost input optimizer
Masoud Karbasi, Mehdi Jamei, Mumtaz Ali, et al.
Computers and Electronics in Agriculture (2022) Vol. 198, pp. 107121-107121
Closed Access | Times Cited: 66
Computational assessment of groundwater salinity distribution within coastal multi-aquifers of Bangladesh
Mehdi Jamei, Masoud Karbasi, Anurag Malik, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 53
Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge regression feature selection
Anurag Malik, Mehdi Jamei, Mumtaz Ali, et al.
Agricultural Water Management (2022) Vol. 272, pp. 107812-107812
Closed Access | Times Cited: 51
Designing a Multi-Stage Expert System for daily ocean wave energy forecasting: A multivariate data decomposition-based approach
Mehdi Jamei, Mumtaz Ali, Masoud Karbasi, et al.
Applied Energy (2022) Vol. 326, pp. 119925-119925
Closed Access | Times Cited: 50
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: 30
Groundwater quality characterization using an integrated water quality index and multivariate statistical techniques
Vinay Kumar Gautam, Mahesh Kothari, Baqer Al-Ramadan, et al.
PLoS ONE (2024) Vol. 19, Iss. 2, pp. e0294533-e0294533
Open Access | Times Cited: 9
Boosted artificial intelligence model using improved alpha-guided grey wolf optimizer for groundwater level prediction: Comparative study and insight for federated learning technology
Fang Cui, Zainab Abdulelah Al-Sudani, Geehan Sabah Hassan, et al.
Journal of Hydrology (2021) Vol. 606, pp. 127384-127384
Closed Access | Times Cited: 48
Development of artificial intelligence models for well groundwater quality simulation: Different modeling scenarios
Naser Shiri, Jalal Shiri, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬, et al.
PLoS ONE (2021) Vol. 16, Iss. 5, pp. e0251510-e0251510
Open Access | Times Cited: 44
Groundwater Level Simulation Using Soft Computing Methods with Emphasis on Major Meteorological Components
Saeideh Samani, Meysam Vadiati, Farahnaz Azizi, et al.
Water Resources Management (2022) Vol. 36, Iss. 10, pp. 3627-3647
Closed Access | Times Cited: 38
Investigating the relationship between land alteration and the urban heat island of Seville city using multi-temporal Landsat data
Bijay Halder, Alireza Karimi, Pir Mohammad, et al.
Theoretical and Applied Climatology (2022) Vol. 150, Iss. 1-2, pp. 613-635
Closed Access | Times Cited: 38
Development of new computational machine learning models for longitudinal dispersion coefficient determination: case study of natural streams, United States
Tao Hai, Sinan Q. Salih, Atheer Y. Oudah, et al.
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 24, pp. 35841-35861
Closed Access | Times Cited: 29
A Comparison of Machine Learning Models for Predicting Rainfall in Urban Metropolitan Cities
Vijendra Kumar, Naresh Kedam, Kul Vaibhav Sharma, et al.
Sustainability (2023) Vol. 15, Iss. 18, pp. 13724-13724
Open Access | Times Cited: 22
Daily Scale River Flow Forecasting Using Hybrid Gradient Boosting Model with Genetic Algorithm Optimization
Hüseyin Çağan Kılınç, Iman Ahmadianfar, Vahdettin Demir, et al.
Water Resources Management (2023) Vol. 37, Iss. 9, pp. 3699-3714
Open Access | Times Cited: 20
Daily scale streamflow forecasting in multiple stream orders of Cauvery River, India: Application of advanced ensemble and deep learning models
Sujay Raghavendra Naganna, Sreedhara B. Marulasiddappa, Muttana S. Balreddy, et al.
Journal of Hydrology (2023) Vol. 626, pp. 130320-130320
Closed Access | Times Cited: 17
An efficient strategy for predicting river dissolved oxygen concentration: application of deep recurrent neural network model
Salar Valizadeh Moghadam, Ahmad Sharafati, Hajar Feizi, et al.
Environmental Monitoring and Assessment (2021) Vol. 193, Iss. 12
Closed Access | Times Cited: 39
Neurocomputing intelligence models for lakes water level forecasting: a comprehensive review
Vahdettin Demir, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Neural Computing and Applications (2022) Vol. 35, Iss. 1, pp. 303-343
Closed Access | Times Cited: 25
Boruta extra tree-bidirectional long short-term memory model development for Pan evaporation forecasting: Investigation of arid climate condition
Masoud Karbasi, Mumtaz Ali, Sayed M. Bateni, et al.
Alexandria Engineering Journal (2023) Vol. 86, pp. 425-442
Open Access | Times Cited: 14
The development of evolutionary computing model for simulating reference evapotranspiration over Peninsular Malaysia
Mohd Khairul Idlan Muhammad, Shamsuddin Shahid, Tarmizi Ismail, et al.
Theoretical and Applied Climatology (2021) Vol. 144, Iss. 3-4, pp. 1419-1434
Closed Access | Times Cited: 30
Machine learning-based monitoring and design of managed aquifer rechargers for sustainable groundwater management: scope and challenges
Abdul Gaffar Sheik, Arvind Kumar, A. G. Sharanya, et al.
Environmental Science and Pollution Research (2024)
Open Access | Times Cited: 4
The assessment of emerging data-intelligence technologies for modeling Mg+2 and SO4−2 surface water quality
Mehdi Jamei, Iman Ahmadianfar, Masoud Karbasi, et al.
Journal of Environmental Management (2021) Vol. 300, pp. 113774-113774
Closed Access | Times Cited: 27
Evaporation Rate Prediction Using Advanced Machine Learning Models: A Comparative Study
Zainab Abdulelah Al-Sudani, Golam Saleh Ahmed Salem
Advances in Meteorology (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 19
Compressive Strength Prediction Using Coupled Deep Learning Model with Extreme Gradient Boosting Algorithm: Environmentally Friendly Concrete Incorporating Recycled Aggregate
Mayadah W. Falah, Sadaam Hadee Hussein, Mohammed Ayad Saad, et al.
Complexity (2022) Vol. 2022, Iss. 1
Open Access | Times Cited: 19
Uncertainty of climate change impact on crop characteristics: a case study of Moghan plain in Iran
Ahmad Sharafati, Mahmoud Moradi Tayyebi, Elnaz Pezeshki, et al.
Theoretical and Applied Climatology (2022) Vol. 149, Iss. 1-2, pp. 603-620
Closed Access | Times Cited: 18
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