Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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
Fan Zhang, Lauren J. O’Donnell
Machine learning (2019), pp. 123-140
Closed Access | Times Cited: 549

Showing 26-50 of 549 citing articles:

Multi-criteria comprehensive study on predictive algorithm of hourly heating energy consumption for residential buildings
Ran Wang, Shilei Lu, Qiaoping Li
Sustainable Cities and Society (2019) Vol. 49, pp. 101623-101623
Closed Access | Times Cited: 108
Integrating complex event processing and machine learning: An intelligent architecture for detecting IoT security attacks
José Roldán-Gómez, Juan Boubeta-­Puig, José Luis Martínez, et al.
Expert Systems with Applications (2020) Vol. 149, pp. 113251-113251
Closed Access | Times Cited: 105
Predicting Triaxial Compressive Strength and Young’s Modulus of Frozen Sand Using Artificial Intelligence Methods
Mahzad Esmaeili‐Falak, Hooshang Katebi, Meysam Vadiati, et al.
Journal of Cold Regions Engineering (2019) Vol. 33, Iss. 3
Closed Access | Times Cited: 101
Modelling forest canopy height by integrating airborne LiDAR samples with satellite Radar and multispectral imagery
Mariano Garcı́a, Sassan Saatchi, Susan L. Ustin, et al.
International Journal of Applied Earth Observation and Geoinformation (2017) Vol. 66, pp. 159-173
Open Access | Times Cited: 94
Downscaling MODIS land surface temperature over a heterogeneous area: An investigation of machine learning techniques, feature selection, and impacts of mixed pixels
Hamid Ebrahimy, Mohsen Azadbakht
Computers & Geosciences (2019) Vol. 124, pp. 93-102
Closed Access | Times Cited: 93
Short-term wind speed forecasting approach using Ensemble Empirical Mode Decomposition and Deep Boltzmann Machine
Santhosh Madasthu, Chintham Venkaiah, D. M. Vinod Kumar
Sustainable Energy Grids and Networks (2019) Vol. 19, pp. 100242-100242
Closed Access | Times Cited: 93
Soft computing hybrids for FOREX rate prediction: A comprehensive review
Dadabada Pradeepkumar, Vadlamani Ravi
Computers & Operations Research (2018) Vol. 99, pp. 262-284
Closed Access | Times Cited: 89
Intelligent mixture design of steel fibre reinforced concrete using a support vector regression and firefly algorithm based multi-objective optimization model
Yimiao Huang, Junfei Zhang, Foo Tze Ann, et al.
Construction and Building Materials (2020) Vol. 260, pp. 120457-120457
Open Access | Times Cited: 89
Prediction of arrival times of freight traffic on US railroads using support vector regression
William Barbour, J. Carlos Martínez Mori, Shankara Kuppa, et al.
Transportation Research Part C Emerging Technologies (2018) Vol. 93, pp. 211-227
Open Access | Times Cited: 88
Comprehensive Survey of Machine Learning Approaches in Cognitive Radio-Based Vehicular Ad Hoc Networks
Mohammad Asif Hossain, Rafidah Md Noor, Kok‐Lim Alvin Yau, et al.
IEEE Access (2020) Vol. 8, pp. 78054-78108
Open Access | Times Cited: 81
Machine Learning Enhances the Performance of Bioreceptor-Free Biosensors
Kenneth Schackart, Jeong‐Yeol Yoon
Sensors (2021) Vol. 21, Iss. 16, pp. 5519-5519
Open Access | Times Cited: 71
Prediction of various soil properties for a national spatial dataset of Scottish soils based on four different chemometric approaches: A comparison of near infrared and mid-infrared spectroscopy
R. K. Haghi, E. Pérez-Fernández, A. H. Jean Robertson
Geoderma (2021) Vol. 396, pp. 115071-115071
Closed Access | Times Cited: 65
Daily Prediction and Multi-Step Forward Forecasting of Reference Evapotranspiration Using LSTM and Bi-LSTM Models
Dilip Kumar Roy, Tapash Kumar Sarkar, Sheikh Shamshul Alam Kamar, et al.
Agronomy (2022) Vol. 12, Iss. 3, pp. 594-594
Open Access | Times Cited: 52
Support Vector Machine (SVM) Application for Uniaxial Compression Strength (UCS) Prediction: A Case Study for Maragheh Limestone
Ahmed Cemiloglu, Li-Cai Zhu, Sibel Arslan, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2217-2217
Open Access | Times Cited: 37
The impact of physicochemical features of carbon electrodes on the capacitive performance of supercapacitors: a machine learning approach
Sachit Mishra, Rajat Srivastava, Atta Muhammad, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 33
Prediction of compressive strength of recycled aggregate concrete using machine learning and Bayesian optimization methods
Xinyi Zhang, Chengyuan Dai, Weiyu Li, et al.
Frontiers in Earth Science (2023) Vol. 11
Open Access | Times Cited: 32
Assessment of machine learning-based methods predictive suitability for migration pollutants from microplastics degradation
Małgorzata Kida, Kamil Pochwat, Sabina Ziembowicz
Journal of Hazardous Materials (2023) Vol. 461, pp. 132565-132565
Closed Access | Times Cited: 31
A review of enzyme design in catalytic stability by artificial intelligence
Yongfan Ming, Wenkang Wang, Rui Yin, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 3
Closed Access | Times Cited: 30
Prediction of unconfined compressive strength of cement–fly ash stabilized soil using support vector machines
Anish Kumar, Sanjeev Sinha, Samir Saurav, et al.
Asian Journal of Civil Engineering (2023) Vol. 25, Iss. 2, pp. 1149-1161
Closed Access | Times Cited: 24
Unraveling the complex relationship between mRNA and protein abundances: a machine learning-based approach for imputing protein levels from RNA-seq data
Archana Prabahar, Rubén Zamora, Derek Barclay, et al.
NAR Genomics and Bioinformatics (2024) Vol. 6, Iss. 1
Open Access | Times Cited: 16
A collaborative privacy-preserving approach for passenger demand forecasting of autonomous taxis empowered by federated learning in smart cities
Adeel Munawar, Mongkut Piantanakulchai
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
A longitudinal analysis of soil salinity changes using remotely sensed imageries
Soraya Bandak, S. A. R. Movahedi-Naeini, Saeed Mehri, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 10
Probabilistic Confusion Matrix: A Novel Method for Machine Learning Algorithm Generalized Performance Analysis
Ioannis Markoulidakis, Georgios Markoulidakis
Technologies (2024) Vol. 12, Iss. 7, pp. 113-113
Open Access | Times Cited: 10
Triple coupling random forest approach for bias correction of ensemble precipitation data derived from Earth system models for Divandareh‐Bijar Basin (Western Iran)
Faezeh Zebarjadian, Neda Dolatabadi, Banafsheh Zahraie, et al.
International Journal of Climatology (2024) Vol. 44, Iss. 7, pp. 2363-2390
Closed Access | Times Cited: 9
Machine learning prediction of methane, nitrogen, and natural gas mixture viscosities under normal and harsh conditions
Sayed Gomaa, Mohamed A. E. Abdalla, Khalaf G. Salem, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 9

Scroll to top