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 76-100 of 549 citing articles:

Hydrocarbon production dynamics forecasting using machine learning: A state-of-the-art review
Bin Liang, Jiang Liu, Junyu You, et al.
Fuel (2022) Vol. 337, pp. 127067-127067
Closed Access | Times Cited: 30
Implication of machine learning techniques to forecast the electricity price and carbon emission: Evidence from a hot region
Suleman Sarwar, Ghazala Aziz, Aviral Kumar Tiwari
Geoscience Frontiers (2023) Vol. 15, Iss. 3, pp. 101647-101647
Open Access | Times Cited: 20
Toward Design of Internet of Things and Machine Learning-Enabled Frameworks for Analysis and Prediction of Water Quality
Mushtaque Ahmed Rahu, Abdul Fattah Chandio, Khursheed Aurangzeb, et al.
IEEE Access (2023) Vol. 11, pp. 101055-101086
Open Access | Times Cited: 20
Machine Learning-based Prediction of Relative Regional Air Volume Change from Healthy Human Lung CTs
Eunchan Kim, Yonghyeon Lee, Jiwoong Choi, et al.
KSII Transactions on Internet and Information Systems (2023) Vol. 17, Iss. 2
Open Access | Times Cited: 18
Enhancing Academic Outcomes through an Adaptive Learning Framework Utilizing a Novel Machine Learning-Based Performance Prediction Method
Aymane Ezzaim, Aziz Dahbi, Abdelfatteh Haidine, et al.
Data & Metadata (2023) Vol. 2, pp. 164-164
Open Access | Times Cited: 18
Improved mapping of heavy metals in agricultural soils using machine learning augmented with spatial regionalization indices
Xudong Ma, Dong‐Xing Guan, ChaoSheng Zhang, et al.
Journal of Hazardous Materials (2024) Vol. 478, pp. 135407-135407
Closed Access | Times Cited: 8
Advanced data-driven techniques in AI for predicting lithium-ion battery remaining useful life: a comprehensive review
Sijing Wang, Ruoyu Zhou, Yijia Ren, et al.
Green Chemical Engineering (2024)
Open Access | Times Cited: 8
Innovative hybrid machine learning models for estimating the compressive strength of copper mine tailings concrete
Mana Alyami, Kennedy C. Onyelowe, Ali H. AlAteah, et al.
Case Studies in Construction Materials (2024) Vol. 21, pp. e03869-e03869
Open Access | Times Cited: 8
Mapping Water Clarity in Small Oligotrophic Lakes Using Sentinel-2 Imagery and Machine Learning Methods: A Case Study of Canandaigua Lake in Finger Lakes, New York
Rabia Munsaf Khan, Bahram Salehi, Milad Niroumand-Jadidi, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2024) Vol. 17, pp. 4674-4688
Open Access | Times Cited: 7
Spatial Downscaling of Satellite-Based Soil Moisture Products Using Machine Learning Techniques: A Review
I.P. Senanayake, Kalani R. L. Pathira Arachchilage, In‐Young Yeo, et al.
Remote Sensing (2024) Vol. 16, Iss. 12, pp. 2067-2067
Open Access | Times Cited: 7
Assessment of Advanced Machine and Deep Learning Approaches for Predicting CO2 Emissions from Agricultural Lands: Insights Across Diverse Agroclimatic Zones
Endre Harsányi, Morad Mirzaei, Sana Arshad, et al.
Earth Systems and Environment (2024) Vol. 8, Iss. 4, pp. 1109-1125
Open Access | Times Cited: 7
Adaptive EWMA control chart by using support vector regression
Muhammad Waqas Kazmi, Muhammad Noor‐ul‐Amin
Quality and Reliability Engineering International (2024)
Closed Access | Times Cited: 6
A dynamically approach based on SVM algorithm for prediction of tunnel convergence during excavation
Satar Mahdevari, Hamid Shirzad Haghighat, Seyed Rahman Torabi
Tunnelling and Underground Space Technology (2013) Vol. 38, pp. 59-68
Closed Access | Times Cited: 69
Content-Based Video Quality Prediction for HEVC Encoded Videos Streamed Over Packet Networks
Louis Anegekuh, Lingfen Sun, Emmanuel Jammeh, et al.
IEEE Transactions on Multimedia (2015) Vol. 17, Iss. 8, pp. 1323-1334
Closed Access | Times Cited: 60
Lidar with multi-temporal MODIS provide a means to upscale predictions of forest biomass
Le Li, Qinghua Guo, Shengli Tao, et al.
ISPRS Journal of Photogrammetry and Remote Sensing (2015) Vol. 102, pp. 198-208
Closed Access | Times Cited: 58
TaxiRec: Recommending Road Clusters to Taxi Drivers Using Ranking-Based Extreme Learning Machines
Ran Wang, Chi-Yin Chow, Yan Lyu, et al.
IEEE Transactions on Knowledge and Data Engineering (2017) Vol. 30, Iss. 3, pp. 585-598
Closed Access | Times Cited: 57
Deep Belief Network Based Hybrid Model for Building Energy Consumption Prediction
Chengdong Li, Zixiang Ding, Jianqiang Yi, et al.
Energies (2018) Vol. 11, Iss. 1, pp. 242-242
Open Access | Times Cited: 57
Prediction of Adverse Glycemic Events From Continuous Glucose Monitoring Signal
Matteo Gadaleta, Andrea Facchinetti, Enrico Grisan, et al.
IEEE Journal of Biomedical and Health Informatics (2018) Vol. 23, Iss. 2, pp. 650-659
Open Access | Times Cited: 57
RETRACTED: Wind turbine power coefficient estimation by soft computing methodologies: Comparative study
Shahaboddin Shamshirband, Dalibor Petković, Hadi Saboohi, et al.
Energy Conversion and Management (2014) Vol. 81, pp. 520-526
Closed Access | Times Cited: 56
Intelligent affect regression for bodily expressions using hybrid particle swarm optimization and adaptive ensembles
Yang Zhang, Li Zhang, Siew Chin Neoh, et al.
Expert Systems with Applications (2015) Vol. 42, Iss. 22, pp. 8678-8697
Closed Access | Times Cited: 53
Annual electricity consumption prediction and future expansion analysis on dairy farms using a support vector machine
Philip Shine, Ted Scully, John Upton, et al.
Applied Energy (2019) Vol. 250, pp. 1110-1119
Open Access | Times Cited: 52
Combining machine-based and econometrics methods for policy analytics insights
Robert J. Kauffman, Kwansoo Kim, Sang‐Yong Tom Lee, et al.
Electronic Commerce Research and Applications (2017) Vol. 25, pp. 115-140
Open Access | Times Cited: 49
A survey of 2D shape representation: Methods, evaluations, and future research directions
Laksono Kurnianggoro, Wahyono Wahyono, Kang-Hyun Jo
Neurocomputing (2018) Vol. 300, pp. 1-16
Closed Access | Times Cited: 48
Supervised machine learning techniques in the desulfurization of oil products for environmental protection: A review
Hamdi A. Al-Jamimi, Sadam Al-Azani, Tawfik A. Saleh
Process Safety and Environmental Protection (2018) Vol. 120, pp. 57-71
Closed Access | Times Cited: 48
DeepVM: A Deep Learning-based approach with automatic feature extraction for 2D input data Virtual Metrology
Marco Maggipinto, Alessandro Beghi, Seán McLoone, et al.
Journal of Process Control (2019) Vol. 84, pp. 24-34
Open Access | Times Cited: 45

Scroll to top