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:

Multi-objective adaptive differential evolution for SVM/SVR hyperparameters selection
Carlos Eduardo da Silva Santos, Renato Coral Sampaio, Leandro dos Santos Coelho, et al.
Pattern Recognition (2020) Vol. 110, pp. 107649-107649
Closed Access | Times Cited: 89

Showing 26-50 of 89 citing articles:

Application Analysis of the Machine Learning Fusion Model in Building a Financial Fraud Prediction Model
Hongsheng Xu, Ganglong Fan, Yanping Song
Security and Communication Networks (2022) Vol. 2022, pp. 1-13
Open Access | Times Cited: 15

Hybrid modeling of the nonlinear behaviors for magnetorheological energy absorber
Mengjie Shou, Changrong Liao, Pingan Yang, et al.
International Journal of Mechanical Sciences (2022) Vol. 243, pp. 107820-107820
Closed Access | Times Cited: 14

Analyzing the effect of light on lettuce Fv/Fm and growth by machine learning
Danyan Chen, Junhua Zhang, Zhongxiong Zhang, et al.
Scientia Horticulturae (2022) Vol. 306, pp. 111444-111444
Closed Access | Times Cited: 13

Wear Parameter Diagnostics of Industrial Milling Machine with Support Vector Regression
Teemu Mäkiaho, Henri Vainio, Kari Koskinen
Machines (2023) Vol. 11, Iss. 3, pp. 395-395
Open Access | Times Cited: 7

Research on cutting tool edge geometry design based on SVR-PSO
Yimin Jiang, Wei Huang, Yu Tian, et al.
The International Journal of Advanced Manufacturing Technology (2024) Vol. 131, Iss. 9-10, pp. 5047-5059
Open Access | Times Cited: 2

Real-time Face-based Gender Identification System Using Pelican Support Vector Machine
Olufemi S. Ojo, Mayowa Oyedepo Oyediran, Olufemi O. Awodoye, et al.
Procedia Computer Science (2024) Vol. 235, pp. 3236-3245
Open Access | Times Cited: 2

Comparison of Extreme Learning Machine Methods and Support Vector Regression for Predicting Bank Share Prices in Indonesia
Williem Kevin Setiadi, Vincentius Riandaru Prasetyo, Fitri Dwi Kartikasari
Teknika (2024) Vol. 13, Iss. 2, pp. 219-225
Open Access | Times Cited: 2

Exploration of the prediction and generation patterns of heterocyclic aromatic amines in roast beef based on Genetic Algorithm combined with Support Vector Regression
Wenrui Li, Jiachen Yu, Nanjiang Ren, et al.
Food Chemistry (2024) Vol. 463, pp. 141059-141059
Closed Access | Times Cited: 2

Indefinite twin support vector machine with DC functions programming
Yuexuan An, Hui Xue
Pattern Recognition (2021) Vol. 121, pp. 108195-108195
Closed Access | Times Cited: 16

A working likelihood approach to support vector regression with a data-driven insensitivity parameter
Jinran Wu, You‐Gan Wang
International Journal of Machine Learning and Cybernetics (2022) Vol. 14, Iss. 3, pp. 929-945
Open Access | Times Cited: 11

Cε-LDE: A lightweight variant of differential evolution algorithm with combined ε constrained method and Lévy flight for constrained optimization problems
Wenchuan Wang, Lei Xu, Kwok‐wing Chau, et al.
Expert Systems with Applications (2022) Vol. 211, pp. 118644-118644
Closed Access | Times Cited: 11

Prediction Method of the Moisture Content of Black Tea during Processing Based on the Miniaturized Near-Infrared Spectrometer
Hanting Zou, Shuai Shen, Tianmeng Lan, et al.
Horticulturae (2022) Vol. 8, Iss. 12, pp. 1170-1170
Open Access | Times Cited: 11

Improved variational mode decomposition for combined imbalance-and-misalignment fault recognition and severity quantification
Dionísio Henrique Carvalho de Sá Só Martins, Amaro A. de Lima, Ricardo H. R. Gutiérrez, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 124, pp. 106516-106516
Closed Access | Times Cited: 6

A dynamic stochastic search algorithm for high-dimensional optimization problems and its application to feature selection
Qi Liu, Mengxue Liu, Fengde Wang, et al.
Knowledge-Based Systems (2022) Vol. 244, pp. 108517-108517
Closed Access | Times Cited: 10

Optimization of production parameters of particle gluing on internal bonding strength of particleboards using machine learning technology
Beilong Zhang, Jun Hua, Liping Cai, et al.
Journal of Wood Science (2022) Vol. 68, Iss. 1
Open Access | Times Cited: 10

Graph-Based Deep Decomposition for Overlapping Large-Scale Optimization Problems
Xin Zhang, Bowen Ding, Xin-Xin Xu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2022) Vol. 53, Iss. 4, pp. 2374-2386
Open Access | Times Cited: 10

Global Optimisation through Hyper-Heuristics: Unfolding Population-Based Metaheuristics
Jorge M. Cruz‐Duarte, José Carlos Ortíz-Bayliss, Iván Amaya, et al.
Applied Sciences (2021) Vol. 11, Iss. 12, pp. 5620-5620
Open Access | Times Cited: 13

An ensemble learning prognostic method for capacity estimation of lithium-ion batteries based on the V-IOWGA operator
Mengda Cao, Tao Zhang, Yajie Liu, et al.
Energy (2022) Vol. 257, pp. 124725-124725
Closed Access | Times Cited: 9

Prediction of Organic–Inorganic Hybrid Perovskite Band Gap by Multiple Machine Learning Algorithms
Shun Feng, Juan Wang
Molecules (2024) Vol. 29, Iss. 2, pp. 499-499
Open Access | Times Cited: 1

A Data-Based Continuous and Predictive Viscosity Model for the Oil-Surfactant-Brine Microemulsion Phase
Akash Talapatra, Bahareh Nojabaei, Pooya Khodaparast
SPE Improved Oil Recovery Conference (2024)
Closed Access | Times Cited: 1

A hybrid multi-objective approach for time series forecasting considering peak instants
Emilly Pereira Alves, Felipe A. B. S. Ferreira, Francisco Madeiro, et al.
Energy Reports (2024) Vol. 11, pp. 4537-4551
Open Access | Times Cited: 1

Remaining useful lifetime prediction for milling blades using a fused data prediction model (FDPM)
Teemu Mäkiaho, Jouko Laitinen, Mikael Nuutila, et al.
Journal of Intelligent Manufacturing (2024) Vol. 35, Iss. 8, pp. 4035-4054
Open Access | Times Cited: 1

Double-kernel based Bayesian approximation broad learning system with dropout
Tao Chen, Lijie Wang, Yang Liu, et al.
Neurocomputing (2024) Vol. 610, pp. 128533-128533
Closed Access | Times Cited: 1

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