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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:

Sparse short-term time series forecasting models via minimum model complexity
Pawas Gupta, Sanjit Singh Batra, Jayadeva
Neurocomputing (2017) Vol. 243, pp. 1-11
Closed Access | Times Cited: 10

Showing 10 citing articles:

Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning
Gadea Mata, Miroslav Radojević, Carlos Fernández-Lozano, et al.
Neuroinformatics (2018) Vol. 17, Iss. 2, pp. 253-269
Closed Access | Times Cited: 17
Using Lyapunov’s method for analysing of chaotic behaviour on financial time series data: a case study on Tehran stock exchange
Mohammad Reza Abbaszadeh, Mehdi Jabbari Nooghabi, Mohammad Mahdi Rounaghi
National Accounting Review (2020) Vol. 2, Iss. 3, pp. 297-308
Open Access | Times Cited: 11
Test Strategy Optimization Based on Soft Sensing and Ensemble Belief Measurement
Wenjuan Mei, Zhen Liu, Lei Tang, et al.
Sensors (2022) Vol. 22, Iss. 6, pp. 2138-2138
Open Access | Times Cited: 6
QMCM: Minimizing Vapnik’s bound on the VC dimension
Jayadeva, Sumit Soman, Himanshu Pant, et al.
Neurocomputing (2020) Vol. 399, pp. 352-360
Closed Access | Times Cited: 8
Short-term time series prediction using Hilbert space embeddings of autoregressive processes
Edgar A. Valencia, Mauricio A. Álvarez
Neurocomputing (2017) Vol. 266, pp. 595-605
Open Access | Times Cited: 7
Wind speed prediction research based on time series model with residual correction
Chenhong Zhang, Penghui Wang, Zhao Yuan, et al.
2017 2nd International Conference on Power and Renewable Energy (ICPRE) (2017), pp. 466-470
Closed Access | Times Cited: 6
A comparative study of forecasting methods using real-life econometric series data
Cláudia Eliane da Matta, Natália Maria Puggina Bianchesi, Milena Silva de Oliveira, et al.
Production (2021) Vol. 31
Open Access | Times Cited: 6
Extreme Gradent Boosting Method Forecasting Rainfall in Lembang District, West Java Province
Salma Azzahra Putri, Gumgum Darmawan, Restu Arisanti, et al.
Indo-MathEdu Intellectuals Journal (2023) Vol. 4, Iss. 3, pp. 1959-1972
Open Access
Volterra Kernel Constructive Extreme Learning Machine Based on Genetic Algorithms for Time Series Prediction
Wenjuan Mei, Zhen Liu, Yuhua Cheng
(2018), pp. 455-460
Closed Access
A Data Feature Recognition Method Based On Deep Learning
Jintao Wang, Guangquan Feng, Long Zhao, et al.
(2020) Vol. 7, pp. 140-144
Closed Access
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