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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:

Time series and regression methods for univariate environmental forecasting: An empirical evaluation
Dimitrios Effrosynidis, Evangelos Spiliotis, Georgios Sylaios, et al.
The Science of The Total Environment (2023) Vol. 875, pp. 162580-162580
Open Access | Times Cited: 23

Showing 23 citing articles:

Grid search with a weighted error function: Hyper-parameter optimization for financial time series forecasting
Yuan Zhao, Weiguo Zhang, Xiufeng Liu
Applied Soft Computing (2024) Vol. 154, pp. 111362-111362
Open Access | Times Cited: 28
A unified new-information-based accumulating generation operator based on feature decoupling for multi-characteristic time series forecasting
Song Ding, Zhijian Cai, Juntao Ye, et al.
Applied Soft Computing (2024) Vol. 154, pp. 111310-111310
Closed Access | Times Cited: 8
Multi-step carbon emissions forecasting using an interpretable framework of new data preprocessing techniques and improved grey multivariable convolution model
Song Ding, Juntao Ye, Zhijian Cai
Technological Forecasting and Social Change (2024) Vol. 208, pp. 123720-123720
Closed Access | Times Cited: 7
Time Series Prediction in Industry 4.0: A Comprehensive Review and Prospects for Future Advancements
Nataliia Kashpruk, C. Piskor-Ignatowicz, Jerzy Baranowski
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12374-12374
Open Access | Times Cited: 17
A novel deep learning-based evolutionary model with potential attention and memory decay-enhancement strategy for short-term wind power point-interval forecasting
Zhi-Feng Liu, You-Yuan Liu, Xiaorui Chen, et al.
Applied Energy (2024) Vol. 360, pp. 122785-122785
Closed Access | Times Cited: 5
A novel early‐warning standardized indicator for drought preparedness and management under multiple climate model projections
Sadia Qamar, Veysi Kartal, M. Emin Emiroğlu, et al.
Meteorological Applications (2025) Vol. 32, Iss. 1
Open Access
Development of a Feed Conversion Ratio Prediction Model for Yorkshire Boars Using Cumulative Feed Intake
Hao Zhou, Huang Zuo Cheng, Y.Y. Wang, et al.
Animals (2025) Vol. 15, Iss. 4, pp. 507-507
Open Access
Forecasts and Analysis of Economic Outputs for Chinese High-Tech Industries: Insights from Spatial–Temporal Information Fusion
Song Ding, Yi Wang, Xingao Shen
Computational Economics (2025)
Closed Access
Enhanced accuracy and interpretability of nitrous oxide emission prediction of wastewater treatment plants through machine learning of univariate time series: A novel approach of learning feature reconstruction
Zixuan Wang, Anlei Wei, K.S. Tang, et al.
Journal of Water Process Engineering (2025) Vol. 71, pp. 107263-107263
Closed Access
Predicting the Performance of Retail Market Firms: Regression and Machine Learning Methods
Darko Vuković, Lubov Spitsina, Ekaterina Gribanova, et al.
Mathematics (2023) Vol. 11, Iss. 8, pp. 1916-1916
Open Access | Times Cited: 11
Applying a transfer function model to improve the sediment rating curve
Solmaz Khazaei Moughani, Shiva Rezazadeh, Majid Azimmohseni, et al.
International Journal of River Basin Management (2024), pp. 1-13
Closed Access | Times Cited: 2
Test inferences and link function selection in dynamic beta modeling of seasonal hydro-environmental time series with temporary abnormal regimes
Everton Costa, Francisco Cribari‐Neto, Vinícius Teodoro Scher
Journal of Hydrology (2024) Vol. 638, pp. 131489-131489
Closed Access | Times Cited: 1
Analysis and Selection of Multiple Machine Learning Methodologies in PyCaret for Monthly Electricity Consumption Demand Forecasting
José Quintana, Alberto Cristobal Flores Quispe, Nilton Cesar León-Calvo, et al.
(2024), pp. 5-5
Open Access | Times Cited: 1
Novel spatiotemporal graph attention model for production prediction and energy structure optimization of propylene production processes
Xiaoyong Lin, Zihui Li, Yongming Han, et al.
Computers & Chemical Engineering (2023) Vol. 181, pp. 108507-108507
Closed Access | Times Cited: 4
Forecasting the trend of tuberculosis incidence in Anhui Province based on machine learning optimization algorithm, 2013–2023
Yan Zhang, Huan Ma, Hua Wang, et al.
BMC Pulmonary Medicine (2024) Vol. 24, Iss. 1
Open Access | Times Cited: 1
PERAMALAN BAHAN BAKU KELAPA DENGAN MOVING AVERAGE, EXPONENTIAL SMOOTHING DAN TREND ANALYSIS
Siti Wardah, Taufik Baidawi
JURNAL PERANGKAT LUNAK (2024) Vol. 6, Iss. 2, pp. 190-197
Open Access
The Study of Correlations of Neuromagnetic Signals in Response to Flickering Light Stimuli Using Flicker-Noise Spectroscopy
Dmitry Averkiev, Sergey Demin, Oleg Panischev
(2024), pp. 1-6
Closed Access
Time Series Forecasting of Runtime Software Metrics: An Empirical Study
Federico Di Menna, Luca Traini, Vittorio Cortellessa
(2024), pp. 48-59
Open Access
Demand Forecasting for Unpredictable Environments: Are We Ready?
Marwan ElAgamy, Dalia Sobhy, Karma M. Fathalla
(2024), pp. 251-255
Closed Access
Hybrid modeling approaches for agricultural commodity prices using CEEMDAN and time delay neural networks
Pramit Pandit, Atish Sagar, Bikramjeet Ghose, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access
A Varying Precision Beta Prime Autoregressive Moving Average Model With Application to Water Flow Data
Kleber Henrique dos Santos, Francisco Cribari‐Neto
Environmetrics (2024)
Closed Access
An Ensemble Empirical Mode Decomposition-Based Convolutional Neural Network Model for Natural Gas Price Forecasting
Najmul Hasan, Yanmei Huang, Yukun Bao
(2023)
Closed Access
Machine Learning-Based Forecasting of Ambulance Arrivals: Insights for Shift-Based ED Resource Allocation
Jordan Larot, Dang Minh Nhu Nguyen, Likhitha Yelamanchili, et al.
(2023)
Open Access
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