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

Showing 51-75 of 549 citing articles:

Applications of artificial intelligence and computational intelligence in hydraulic optimization of centrifugal pumps: a comprehensive review
Yuanhui Xu, Xingcheng Gan, Ji Pei, et al.
Engineering Applications of Computational Fluid Mechanics (2025) Vol. 19, Iss. 1
Open Access | Times Cited: 1
A Systematic and General Machine Learning Approach to Build a Consistent Data Set from Different Experiments: Application to the Thermal Conductivity of Methane
Matheus Máximo‐Canadas, Júlio César Duarte, Jakler Nichele, et al.
ACS Engineering Au (2025)
Open Access | Times Cited: 1
An adaptive fuzzy combination model based on self-organizing map and support vector regression for electric load forecasting
Jinxing Che, Jianzhou Wang, Guangfu Wang
Energy (2011) Vol. 37, Iss. 1, pp. 657-664
Closed Access | Times Cited: 111
Forecasting PM2.5 induced male lung cancer morbidity in China using satellite retrieved PM2.5 and spatial analysis
Xiao Han, Yuqin Liu, Hong Gao, et al.
The Science of The Total Environment (2017) Vol. 607-608, pp. 1009-1017
Open Access | Times Cited: 87
Forecasting of turbine heat rate with online least squares support vector machine based on gravitational search algorithm
Weiping Zhang, Peifeng Niu, Guoqiang Li, et al.
Knowledge-Based Systems (2012) Vol. 39, pp. 34-44
Closed Access | Times Cited: 86
Which method to use? An assessment of data mining methods in Environmental Data Science
Karina Gibert, Joaquín Izquierdo, Miquel Sànchez‐Marrè, et al.
Environmental Modelling & Software (2018) Vol. 110, pp. 3-27
Open Access | Times Cited: 78
Estimating the refractive index of oxygenated and deoxygenated hemoglobin using genetic algorithm – support vector regression model
Ibrahim Olanrewaju Alade, Aliyu Bagudu, Tajudeen A. Oyehan, et al.
Computer Methods and Programs in Biomedicine (2018) Vol. 163, pp. 135-142
Closed Access | Times Cited: 76
Prediction of drilling rate of penetration (ROP) using hybrid support vector regression: A case study on the Shennongjia area, Central China
Chao Gan, Weihua Cao, Min Wu, et al.
Journal of Petroleum Science and Engineering (2019) Vol. 181, pp. 106200-106200
Closed Access | Times Cited: 76
A wavelet-artificial intelligence fusion approach (WAIFA) for blending Landsat and MODIS surface temperature
Vahid Moosavi, Ali Talebi, Mohammad Hossein Mokhtari, et al.
Remote Sensing of Environment (2015) Vol. 169, pp. 243-254
Closed Access | Times Cited: 74
SVR-based prediction of evaporation combined with chaotic approach
Özlem Baydaroğlu, Kasım Koçak
Journal of Hydrology (2013) Vol. 508, pp. 356-363
Closed Access | Times Cited: 74
Machine-learning algorithms for predicting on-farm direct water and electricity consumption on pasture based dairy farms
Philip Shine, Michael D. Murphy, John Upton, et al.
Computers and Electronics in Agriculture (2018) Vol. 150, pp. 74-87
Open Access | Times Cited: 72
Methodologies for predicting natural frequency variation of a suspension bridge
Irwanda Laory, Thanh Trinh, Ian F. C. Smith, et al.
Engineering Structures (2014) Vol. 80, pp. 211-221
Open Access | Times Cited: 71
A comparative study of deep and shallow predictive techniques for hot metal temperature prediction in blast furnace ironmaking
Xinmin Zhang, Manabu Kano, Shinroku Matsuzaki
Computers & Chemical Engineering (2019) Vol. 130, pp. 106575-106575
Closed Access | Times Cited: 70
A study on leading machine learning techniques for high order fuzzy time series forecasting
Sibarama Panigrahi, H. S. Behera
Engineering Applications of Artificial Intelligence (2019) Vol. 87, pp. 103245-103245
Closed Access | Times Cited: 68
Remaining useful life estimation using long short-term memory deep learning
Che-Sheng Hsu, Jehn‐Ruey Jiang
2018 IEEE International Conference on Applied System Invention (ICASI) (2018), pp. 58-61
Closed Access | Times Cited: 67
A Deep Multiscale Spatiotemporal Network for Assessing Depression From Facial Dynamics
Wheidima Carneiro de Melo, Éric Granger, Abdenour Hadid
IEEE Transactions on Affective Computing (2020) Vol. 13, Iss. 3, pp. 1581-1592
Open Access | Times Cited: 67
Seasonal SVR with FOA algorithm for single-step and multi-step ahead forecasting in monthly inbound tourist flow
Lijuan Wu, Guohua Cao
Knowledge-Based Systems (2016) Vol. 110, pp. 157-166
Closed Access | Times Cited: 66
Anchored Regression Networks Applied to Age Estimation and Super Resolution
Eirikur Agustsson, Radu Timofte, Luc Van Gool
(2017), pp. 1652-1661
Open Access | Times Cited: 66
Comparison of Machine Learning Regression Algorithms for Cotton Leaf Area Index Retrieval Using Sentinel-2 Spectral Bands
Huihui Mao, Jihua Meng, Fujiang Ji, et al.
Applied Sciences (2019) Vol. 9, Iss. 7, pp. 1459-1459
Open Access | Times Cited: 60
Forecasting mining capital cost for open-pit mining projects based on artificial neural network approach
Hongquan Guo, Hoang Nguyen, Diep-Anh Vu, et al.
Resources Policy (2019) Vol. 74, pp. 101474-101474
Closed Access | Times Cited: 60
A machine learning methodology for multivariate pore-pressure prediction
H. Q. Yu, Guoxiong Chen, Hanming Gu
Computers & Geosciences (2020) Vol. 143, pp. 104548-104548
Closed Access | Times Cited: 59
Characterizing Complexity and Self-Similarity Based on Fractal and Entropy Analyses for Stock Market Forecast Modelling
Yeliz Karaca, Yudong Zhang, Khan Muhammad
Expert Systems with Applications (2019) Vol. 144, pp. 113098-113098
Closed Access | Times Cited: 57
Machine learning based stochastic dynamic analysis of functionally graded shells
Vaishali Vaishali, T. Mukhopadhyay, P. K. Karsh, et al.
Composite Structures (2020) Vol. 237, pp. 111870-111870
Closed Access | Times Cited: 57
Multi-objective optimization for materials design with improved NSGA-II
Peng Zhang, Yiyu Qian, Quan Qian
Materials Today Communications (2021) Vol. 28, pp. 102709-102709
Closed Access | Times Cited: 53
An EEMD-BiLSTM Algorithm Integrated with Boruta Random Forest Optimiser for Significant Wave Height Forecasting along Coastal Areas of Queensland, Australia
Nawin Raj, Jason Brown
Remote Sensing (2021) Vol. 13, Iss. 8, pp. 1456-1456
Open Access | Times Cited: 49

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