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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:

EcoForecast: An interpretable data-driven approach for short-term macroeconomic forecasting using N-BEATS neural network
Xuanzheng Wang, Changwang Li, Chengqi Yi, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 114, pp. 105072-105072
Closed Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

Enhancing wind speed forecasting through synergy of machine learning, singular spectral analysis, and variational mode decomposition
Sinvaldo Rodrigues Moreno, Laio Oriel Seman, Stéfano Frizzo Stefenon, et al.
Energy (2024) Vol. 292, pp. 130493-130493
Closed Access | Times Cited: 45
DIGWO-N-BEATS: An evolutionary time series prediction method for situation prediction
Hao Lin, Chundong Wang
Information Sciences (2024) Vol. 664, pp. 120316-120316
Closed Access | Times Cited: 10
State-of-charge estimation of sodium-ion batteries: A fusion deep learning approach
Wenjie Sun, Huan Xu, Bangyu Zhou, et al.
Journal of Energy Storage (2024) Vol. 91, pp. 111527-111527
Closed Access | Times Cited: 5
Evaluating the Efficacy of NHITS for Forecasting Stock Realized Volatility: A Comparative Analysis with Established Models
Hugo Gobato Souto
Computational Economics (2025)
Closed Access
Topological tail dependence: Evidence from forecasting realized volatility
Hugo Gobato Souto
The Journal of Finance and Data Science (2023) Vol. 9, pp. 100107-100107
Open Access | Times Cited: 13
A multi-time-scale multi-step prediction method for gas utilization rate in a BF based on just-in-time learning
Guoyu Zhao, Jianqi An, Yunpeng Guo, et al.
Control Engineering Practice (2024) Vol. 147, pp. 105940-105940
Closed Access | Times Cited: 4
Enhancing GDP Forecast Accuracy: Comparing Neural Hierarchical Interpolation for Time Series (N-HiTS) Model and Vector Autoregression (VAR) Model for U.S. Economic Planning
Nikhil D Jonathan
SSRN Electronic Journal (2025)
Closed Access
Characterizing Seasonality and Trend From In Situ Time‐Series Observations Using Explainable Deep Learning for Ground Deformation Forecasting
Zhengjing Ma, Gang Mei, Nengxiong Xu
Journal of Geophysical Research Machine Learning and Computation (2024) Vol. 1, Iss. 2
Open Access | Times Cited: 2
Can transformers transform financial forecasting?
Hugo Gobato Souto, Amir Moradi
China Finance Review International (2024)
Closed Access | Times Cited: 2
Charting new avenues in financial forecasting with TimesNet: The impact of intraperiod and interperiod variations on realized volatility prediction
Hugo Gobato Souto
Expert Systems with Applications (2024) Vol. 255, pp. 124851-124851
Closed Access | Times Cited: 2
Very short-term solar ultraviolet-A radiation forecasting system with cloud cover images and a Bayesian optimized interpretable artificial intelligence model
Salvin S. Prasad, Ravinesh C. Deo, Nathan Downs, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121273-121273
Closed Access | Times Cited: 6
A short survey on Interpretable techniques with Time series data
Mahesh Sasikumar, Ebin Deni Raj
2020 IEEE International Students' Conference on Electrical,Electronics and Computer Science (SCEECS) (2024) Vol. 30, pp. 1-10
Closed Access | Times Cited: 1
A generalization of the Topological Tail Dependence theory: From indices to individual stocks
Hugo Gobato Souto, Amir Moradi
Decision Analytics Journal (2024) Vol. 12, pp. 100512-100512
Open Access | Times Cited: 1
An interpretable data-driven approach for customer purchase prediction using cost-sensitive learning
Fei Xiao, Shuixia Chen, Zi‐yu Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 138, pp. 109344-109344
Closed Access | Times Cited: 1
A wind power prediction model based on optimized N-BEATS network with multivariate inputs
Jun Li, Tao Lin, Hui Du, et al.
2021 IEEE Power & Energy Society General Meeting (PESGM) (2023), pp. 1-5
Closed Access | Times Cited: 2
Construction and Optimization of Macroeconomic Data Forecasting Model Based on Machine Learning
C. Li
Deleted Journal (2024) Vol. 20, Iss. 3s, pp. 436-447
Open Access
Predicting Sodium-Ion Battery Performance through Surface Chemistry Analysis and Textural Properties of Functionalized Hard Carbons Using AI
Walter M. Warren‐Vega, Ana I. Zárate‐Guzmán, Francisco Carrasco‐Marín, et al.
Materials (2024) Vol. 17, Iss. 17, pp. 4193-4193
Open Access
Stock Price Forecasting using N-Beats Deep Learning Architecture
B. Samuel Naik, V. Karthik, B. Manjunatha, et al.
Journal of Scientific Research and Reports (2024) Vol. 30, Iss. 9, pp. 483-494
Open Access
Forecasting Visitor Arrivals at Tourist Attractions: A Time Series Framework with the N-BEATS for Sustainable Tourism
Ke Xu, Junli Zhang, Junhao Huang, et al.
Sustainability (2024) Vol. 16, Iss. 18, pp. 8227-8227
Open Access
Research on the application of neural networks in macroeconomic forecasting and strategic management decision-making
Qianqian Xue
Applied Mathematics and Nonlinear Sciences (2024) Vol. 9, Iss. 1
Open Access
Time-mixing and Feature-mixing Modelling for Realized Volatility Forecast: Evidence from TSMixer Model
Hugo Gobato Souto, Storm Koert Heuvel, Francisco Louzada
The Journal of Finance and Data Science (2024), pp. 100143-100143
Open Access
Prediction Study of Solid Oxide Fuel Cell Performance Degradation Using Data‐Driven Approaches
Haibo Huo, Yu Chen, Gifty Pamela Afun, et al.
Energy Technology (2024) Vol. 13, Iss. 1
Open Access
Introduction to the special issue on Intelligent Control and Optimisation
Seán McLoone, Kevin Guelton, Thierry Guerra, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106325-106325
Open Access | Times Cited: 1
Water Quality Prediction Based on Improved Multi-Point Joint Learning
Xinghan Xu, Ziyan Su, Zhao Song, et al.
(2023)
Closed Access
Deep learning framework for epidemiological forecasting: A study on COVID-19 cases and deaths in the Amazon state of Pará, Brazil
Gilberto Nerino de Souza, Alícia Graziella Balbino Mendes, Joaquim dos Santos Costa, et al.
PLoS ONE (2023) Vol. 18, Iss. 11, pp. e0291138-e0291138
Open Access
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