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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:

Monthly evapotranspiration estimation using optimal climatic parameters: efficacy of hybrid support vector regression integrated with whale optimization algorithm
Yazid Tikhamarine, Anurag Malik, Kusum Pandey, et al.
Environmental Monitoring and Assessment (2020) Vol. 192, Iss. 11
Closed Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Forecasting evapotranspiration in different climates using ensembles of recurrent neural networks
Francesco Granata, Fabio Di Nunno
Agricultural Water Management (2021) Vol. 255, pp. 107040-107040
Closed Access | Times Cited: 131
Future trends of reference evapotranspiration in Sicily based on CORDEX data and Machine Learning algorithms
Fabio Di Nunno, Francesco Granata
Agricultural Water Management (2023) Vol. 280, pp. 108232-108232
Open Access | Times Cited: 44
Methods to estimate evapotranspiration in humid and subtropical climate conditions
Dinesh Kumar Vishwakarma, Kusum Pandey, Arshdeep Kaur, et al.
Agricultural Water Management (2021) Vol. 261, pp. 107378-107378
Closed Access | Times Cited: 89
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: 47
Modelling groundwater level fluctuations by ELM merged advanced metaheuristic algorithms using hydroclimatic data
Rana Muhammad Adnan, Hongliang Dai, Reham R. Mostafa, et al.
Geocarto International (2022) Vol. 38, Iss. 1
Open Access | Times Cited: 47
A review of the Artificial Intelligence (AI) based techniques for estimating reference evapotranspiration: Current trends and future perspectives
Pooja Goyal, Sunil Kumar, Rakesh Sharda
Computers and Electronics in Agriculture (2023) Vol. 209, pp. 107836-107836
Closed Access | Times Cited: 37
Forecasting of stage-discharge in a non-perennial river using machine learning with gamma test
Dinesh Kumar Vishwakarma, Alban Kuriqi, Salwan Ali Abed, et al.
Heliyon (2023) Vol. 9, Iss. 5, pp. e16290-e16290
Open Access | Times Cited: 28
Advanced evapotranspiration forecasting in Central Italy: Stacked MLP-RF algorithm and correlated Nystrom views with feature selection strategies
Francesco Granata, Fabio Di Nunno, Giovanni de Marinis
Computers and Electronics in Agriculture (2024) Vol. 220, pp. 108887-108887
Closed Access | Times Cited: 13
Prediction of daily water level using new hybridized GS-GMDH and ANFIS-FCM models
Isa Ebtehaj, Saad Sh. Sammen, Lariyah Mohd Sidek, et al.
Engineering Applications of Computational Fluid Mechanics (2021) Vol. 15, Iss. 1, pp. 1343-1361
Open Access | Times Cited: 48
A simple machine learning approach to model real-time streamflow using satellite inputs: Demonstration in a data scarce catchment
Ashish Kumar, RAAJ Ramsankaran, Luca Brocca, et al.
Journal of Hydrology (2021) Vol. 595, pp. 126046-126046
Closed Access | Times Cited: 44
Prediction of suspended sediment concentration using hybrid SVM-WOA approaches
Sandeep Samantaray, Abinash Sahoo
Geocarto International (2021) Vol. 37, Iss. 19, pp. 5609-5635
Closed Access | Times Cited: 43
Hybrid meta-heuristic machine learning methods applied to landslide susceptibility mapping in the Sahel-Algiers
Mohammed Amin‎ Benbouras
International Journal of Sediment Research (2022) Vol. 37, Iss. 5, pp. 601-618
Closed Access | Times Cited: 28
Improved prediction of monthly streamflow in a mountainous region by Metaheuristic-Enhanced deep learning and machine learning models using hydroclimatic data
Rana Muhammad Adnan, Amin Mirboluki, Mojtaba Mehraein, et al.
Theoretical and Applied Climatology (2023) Vol. 155, Iss. 1, pp. 205-228
Closed Access | Times Cited: 16
Forecasting the Bearing Capacity of the Driven Piles Using Advanced Machine-Learning Techniques
Mohammed Amin‎ Benbouras, Alexandru-Ionuţ Petrişor, Hamma Zedira, et al.
Applied Sciences (2021) Vol. 11, Iss. 22, pp. 10908-10908
Open Access | Times Cited: 38
The Superiority of Data-Driven Techniques for Estimation of Daily Pan Evaporation
Manish Kumar, Anuradha Kumari, Deepak Kumar, et al.
Atmosphere (2021) Vol. 12, Iss. 6, pp. 701-701
Open Access | Times Cited: 34
Machine Learning Based Prediction of Reference Evapotranspiration (ET0) Using IoT
Zhiming Hu, Rab Nawaz Bashir, Aqeel ur Rehman, et al.
IEEE Access (2022) Vol. 10, pp. 70526-70540
Open Access | Times Cited: 26
Prediction of groundwater-level using novel SVM-ALO, SVM-FOA, and SVM-FFA algorithms at Purba-Medinipur, India
Sandeep Samantaray, Abinash Sahoo, Deba Prakash Satapathy
Arabian Journal of Geosciences (2022) Vol. 15, Iss. 8
Closed Access | Times Cited: 23
Comparative evaluation of deep learning and machine learning in modelling pan evaporation using limited inputs
Özgür Kişi, Amin Mirboluki, Sujay Raghavendra Naganna, et al.
Hydrological Sciences Journal (2022) Vol. 67, Iss. 9, pp. 1309-1327
Closed Access | Times Cited: 22
Prediction of aeration efficiency of Parshall and Modified Venturi flumes: application of soft computing versus regression models
Parveen Sihag, Ö. Faruk Dursun, Saad Sh. Sammen, et al.
Water Science & Technology Water Supply (2021) Vol. 21, Iss. 8, pp. 4068-4085
Open Access | Times Cited: 29
A framework for predicting the carbonation depth of concrete incorporating fly ash based on a least squares support vector machine and metaheuristic algorithms
Kai Zhang, Ke Zhang, Rui Bao, et al.
Journal of Building Engineering (2022) Vol. 65, pp. 105772-105772
Closed Access | Times Cited: 21
Parameter Optimisation-Based Hybrid Reference Evapotranspiration Prediction Models: A Systematic Review of Current Implementations and Future Research Directions
Hadeel E. Khairan, Salah L. Zubaidi, Yousif Raad Muhsen, et al.
Atmosphere (2022) Vol. 14, Iss. 1, pp. 77-77
Open Access | Times Cited: 20
Short-term wind speed prediction using hybrid machine learning techniques
Deepak Gupta, N. Natarajan, M. Berlin
Environmental Science and Pollution Research (2021) Vol. 29, Iss. 34, pp. 50909-50927
Closed Access | Times Cited: 26
Remaining useful life prediction of lithium-ion batteries using CEEMDAN and WOA-SVR model
Xianmeng Meng, Cuicui Cai, Yueqin Wang, et al.
Frontiers in Energy Research (2022) Vol. 10
Open Access | Times Cited: 18
Multilayer perceptron and support vector machine trained with grey wolf optimiser for predicting floods in Barak river, India
Abinash Sahoo, Sandeep Samantaray, Dillip Kumar Ghose
Journal of Earth System Science (2022) Vol. 131, Iss. 2
Closed Access | Times Cited: 17
Evaluation of Machine Learning versus Empirical Models for Monthly Reference Evapotranspiration Estimation in Uttar Pradesh and Uttarakhand States, India
Priya Rai, Pravendra Kumar, Nadhir Al‐Ansari, et al.
Sustainability (2022) Vol. 14, Iss. 10, pp. 5771-5771
Open Access | Times Cited: 17
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