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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:

Support vector regression optimized by meta-heuristic algorithms for daily streamflow prediction
Anurag Malik, Yazid Tikhamarine, Doudja Souag-Gamane, et al.
Stochastic Environmental Research and Risk Assessment (2020) Vol. 34, Iss. 11, pp. 1755-1773
Closed Access | Times Cited: 117

Showing 1-25 of 117 citing articles:

Railway dangerous goods transportation system risk identification: Comparisons among SVM, PSO-SVM, GA-SVM and GS-SVM
Wencheng Huang, Hongyi Liu, Yue Zhang, et al.
Applied Soft Computing (2021) Vol. 109, pp. 107541-107541
Closed Access | Times Cited: 120
Metaheuristic-based support vector regression for landslide displacement prediction: a comparative study
Junwei Ma, Ding Xia, Haixiang Guo, et al.
Landslides (2022) Vol. 19, Iss. 10, pp. 2489-2511
Open Access | Times Cited: 90
Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for hydrological processes
Pravin Bhasme, Jenil Vagadiya, Udit Bhatia
Journal of Hydrology (2022) Vol. 615, pp. 128618-128618
Open Access | Times Cited: 78
Boosting solar radiation predictions with global climate models, observational predictors and hybrid deep-machine learning algorithms
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Applied Energy (2022) Vol. 316, pp. 119063-119063
Closed Access | Times Cited: 67
Monthly streamflow forecasting by machine learning methods using dynamic weather prediction model outputs over Iran
Mohammad Akbarian, Bahram Saghafian, Saeed Golian
Journal of Hydrology (2023) Vol. 620, pp. 129480-129480
Closed Access | Times Cited: 67
Hybridized artificial intelligence models with nature-inspired algorithms for river flow modeling: A comprehensive review, assessment, and possible future research directions
Tao Hai, Sani I. Abba, Ahmed M. Al‐Areeq, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107559-107559
Closed Access | Times Cited: 57
Modeling Various Drought Time Scales via a Merged Artificial Neural Network with a Firefly Algorithm
Babak Mohammadi
Hydrology (2023) Vol. 10, Iss. 3, pp. 58-58
Open Access | Times Cited: 50
Love Evolution Algorithm: a stimulus–value–role theory-inspired evolutionary algorithm for global optimization
Yuansheng Gao, Jiahui Zhang, Yulin Wang, et al.
The Journal of Supercomputing (2024) Vol. 80, Iss. 9, pp. 12346-12407
Closed Access | Times Cited: 17
Advances in Spotted Hyena Optimizer: A Comprehensive Survey
Shafih Ghafori, Farhad Soleimanian Gharehchopogh
Archives of Computational Methods in Engineering (2021) Vol. 29, Iss. 3, pp. 1569-1590
Closed Access | Times Cited: 89
Artificial Neural Network Optimized with a Genetic Algorithm for Seasonal Groundwater Table Depth Prediction in Uttar Pradesh, India
Kusum Pandey, Shiv Kumar, Anurag Malik, et al.
Sustainability (2020) Vol. 12, Iss. 21, pp. 8932-8932
Open Access | Times Cited: 81
Artificial Intelligence models for prediction of the tide level in Venice
Francesco Granata, Fabio Di Nunno
Stochastic Environmental Research and Risk Assessment (2021) Vol. 35, Iss. 12, pp. 2537-2548
Closed Access | Times Cited: 61
The potential of a novel support vector machine trained with modified mayfly optimization algorithm for streamflow prediction
Rana Muhammad Adnan, Özgür Kişi, Reham R. Mostafa, et al.
Hydrological Sciences Journal (2021) Vol. 67, Iss. 2, pp. 161-174
Closed Access | Times Cited: 60
Advanced Machine Learning Model for Prediction of Drought Indices using Hybrid SVR-RSM
Jamshid Piri, Mohammad Abdolahipour, Behrooz Keshtegar
Water Resources Management (2022) Vol. 37, Iss. 2, pp. 683-712
Closed Access | Times Cited: 56
Predicting streamflow in Peninsular Malaysia using support vector machine and deep learning algorithms
Yusuf Essam, Yuk Feng Huang, Jing Lin Ng, et al.
Scientific Reports (2022) Vol. 12, Iss. 1
Open Access | Times Cited: 53
Harris Hawk Optimization: A Survey onVariants and Applications
B. K. Tripathy, Praveen Kumar Reddy Maddikunta, Quoc‐Viet Pham, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-20
Open Access | Times Cited: 39
A quantile-based encoder-decoder framework for multi-step ahead runoff forecasting
Mohammad Sina Jahangir, John You, John Quilty
Journal of Hydrology (2023) Vol. 619, pp. 129269-129269
Closed Access | Times Cited: 36
Intelligent optimization for modelling superhydrophobic ceramic membrane oil flux and oil-water separation efficiency: Evidence from wastewater treatment and experimental laboratory
Jamilu Usman, Babatunde Abiodun Salami, Afeez Gbadamosi, et al.
Chemosphere (2023) Vol. 331, pp. 138726-138726
Closed Access | Times Cited: 33
Application of novel binary optimized machine learning models for monthly streamflow prediction
Rana Muhammad Adnan, Hongliang Dai, Reham R. Mostafa, et al.
Applied Water Science (2023) Vol. 13, Iss. 5
Open Access | Times Cited: 30
Elastic modulus prediction for high-temperature treated rock using multi-step hybrid ensemble model combined with coronavirus herd immunity optimizer
Tianxing Ma, Xiangqi Hu, Hengyu Liu, et al.
Measurement (2024) Vol. 240, pp. 115596-115596
Closed Access | Times Cited: 9
Towards greener futures: SVR-based CO2 prediction model boosted by SCMSSA algorithm
Oluwatayomi Rereloluwa Adegboye, Afi Kekeli Feda, Ephraim Bonah Agyekum, et al.
Heliyon (2024) Vol. 10, Iss. 11, pp. e31766-e31766
Open Access | Times Cited: 8
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
A large-scale comparison of Artificial Intelligence and Data Mining (AI&DM) techniques in simulating reservoir releases over the Upper Colorado Region
Tiantian Yang, Lujun Zhang, Taereem Kim, et al.
Journal of Hydrology (2021) Vol. 602, pp. 126723-126723
Open Access | Times Cited: 50
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
Comparative implementation between neuro-emotional genetic algorithm and novel ensemble computing techniques for modelling dissolved oxygen concentration
Sani I. Abba, Rabiu Aliyu Abdulkadir, Saad Sh. Sammen, et al.
Hydrological Sciences Journal (2021) Vol. 66, Iss. 10, pp. 1584-1596
Closed Access | Times Cited: 44
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