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:

Forecasting: theory and practice
Fotios Petropoulos, Daniele Apiletti, Vassilios Assimakopoulos, et al.
International Journal of Forecasting (2022) Vol. 38, Iss. 3, pp. 705-871
Open Access | Times Cited: 542

Showing 26-50 of 542 citing articles:

Application of machine learning to cluster hotel booking curves for hotel demand forecasting
Luciano Viverit, Cindy Yoonjoung Heo, Luís Nobre Pereira, et al.
International Journal of Hospitality Management (2023) Vol. 111, pp. 103455-103455
Open Access | Times Cited: 27

The Importance of Community Involvement in Public Management Planning and Decision-Making Processes
Syamsu Rijal
Journal of Contemporary Administration and Management (ADMAN) (2023) Vol. 1, Iss. 2, pp. 84-92
Open Access | Times Cited: 27

Residential energy consumption forecasting using deep learning models
Paulo Vitor Barbosa Ramos, Saulo Moraes Villela, Walquiria N. Silva, et al.
Applied Energy (2023) Vol. 350, pp. 121705-121705
Closed Access | Times Cited: 24

Bayesian Hyperparameter Optimization of stacked Bidirectional Long Short-Term Memory neural network for the State of Charge estimation
Panagiotis Eleftheriadis, Sonia Leva, Emanuèle Ogliari
Sustainable Energy Grids and Networks (2023) Vol. 36, pp. 101160-101160
Open Access | Times Cited: 24

Assessment of Energy and Heat Consumption Trends and Forecasting in the Small Consumer Sector in Poland Based on Historical Data
Bożena Gajdzik, Magdalena Jaciow, Radosław Wolniak, et al.
Resources (2023) Vol. 12, Iss. 9, pp. 111-111
Open Access | Times Cited: 24

A hybrid forecasting approach for China's national carbon emission allowance prices with balanced accuracy and interpretability
Yaqi Mao, Xiaobing Yu
Journal of Environmental Management (2023) Vol. 351, pp. 119873-119873
Closed Access | Times Cited: 21

RGA: a unified measure of predictive accuracy
Paolo Giudici, Emanuela Raffinetti
Advances in Data Analysis and Classification (2024)
Open Access | Times Cited: 12

A predictive analytics framework for sensor data using time series and deep learning techniques
Hend A. Selmy, Hoda K. Mohamed, Walaa Medhat
Neural Computing and Applications (2024) Vol. 36, Iss. 11, pp. 6119-6132
Open Access | Times Cited: 12

Hidden Markov guided Deep Learning models for forecasting highly volatile agricultural commodity prices
G. Avinash, V. Ramasubramanian, Mrinmoy Ray, et al.
Applied Soft Computing (2024) Vol. 158, pp. 111557-111557
Closed Access | Times Cited: 11

Latest Advancements in Solar Photovoltaic-Thermoelectric Conversion Technologies: Thermal Energy Storage Using Phase Change Materials, Machine Learning, and 4E Analyses
Hisham Alghamdi, Chika Maduabuchi, Kingsley Okoli, et al.
International Journal of Energy Research (2024) Vol. 2024, pp. 1-29
Open Access | Times Cited: 10

Health implications due to exposure to fine and ultra-fine particulate matters: a short review
Raghavendra Sharma, Om Kurmi, P. Hariprasad, et al.
International Journal of Ambient Energy (2024) Vol. 45, Iss. 1
Closed Access | Times Cited: 10

Enhancing tourism demand forecasting with a transformer-based framework
Xin Li, Yechi Xu, Rob Law, et al.
Annals of Tourism Research (2024) Vol. 107, pp. 103791-103791
Open Access | Times Cited: 10

Generative learning for nonlinear dynamics
William Gilpin
Nature Reviews Physics (2024) Vol. 6, Iss. 3, pp. 194-206
Closed Access | Times Cited: 9

A Multi‐Model Ensemble of Baseline and Process‐Based Models Improves the Predictive Skill of Near‐Term Lake Forecasts
Freya Olsson, Tadhg N. Moore, Cayelan C. Carey, et al.
Water Resources Research (2024) Vol. 60, Iss. 3
Open Access | Times Cited: 9

A bibliometric literature review of stock price forecasting: From statistical model to deep learning approach
Pham Hoang Vuong, Lam Hung Phu, Tran Hong Van Nguyen, et al.
Science Progress (2024) Vol. 107, Iss. 1
Open Access | Times Cited: 8

Enhancement of traffic forecasting through graph neural network-based information fusion techniques
Shams Forruque Ahmed, Sweety Angela Kuldeep, Sabiha Jannat Rafa, et al.
Information Fusion (2024) Vol. 110, pp. 102466-102466
Open Access | Times Cited: 8

Counterfeit Drugs Detection in the Nigeria Pharma-Chain via Enhanced Blockchain-based Mobile Authentication Service
Patrick Ogholuwarami Ejeh, Margaret Dumebi Okpor, Rume Elizabeth Yoro, et al.
Advances in Multidisciplinary & Scientific Research Journal Publication (2024) Vol. 12, Iss. 2, pp. 25-44
Open Access | Times Cited: 7

Distributed ARIMA models for ultra-long time series
Xiaoqian Wang, Yanfei Kang, Rob Hyndman, et al.
International Journal of Forecasting (2022) Vol. 39, Iss. 3, pp. 1163-1184
Open Access | Times Cited: 36

Differential attention net: Multi-directed differential attention based hybrid deep learning model for solar power forecasting
Amit Rai, Ashish Shrivastava, Kartick Chandra Jana
Energy (2022) Vol. 263, pp. 125746-125746
Closed Access | Times Cited: 35

Utilization of food waste for hydrogen-based power generation: Evidence from four cities in Ghana
Patience Afi Seglah, Y. Wang, Hongyan Wang, et al.
Heliyon (2023) Vol. 9, Iss. 3, pp. e14373-e14373
Open Access | Times Cited: 20

Demand forecasting for fashion products: A systematic review
Kritika Swaminathan, Rakesh Venkitasubramony
International Journal of Forecasting (2023) Vol. 40, Iss. 1, pp. 247-267
Closed Access | Times Cited: 20

Data-Driven Methods for the State of Charge Estimation of Lithium-Ion Batteries: An Overview
Panagiotis Eleftheriadis, Spyridon Giazitzis, Sonia Leva, et al.
Forecasting (2023) Vol. 5, Iss. 3, pp. 576-599
Open Access | Times Cited: 20

What do consumers want? A methodological framework to identify determinant product attributes from consumers’ online questions
Angeline Gautami Fernando, Eugene Cheng-Xi Aw
Journal of Retailing and Consumer Services (2023) Vol. 73, pp. 103335-103335
Closed Access | Times Cited: 19

Estimating the Energy Savings of Energy Efficiency Actions with Ensemble Machine Learning Models
Elissaios Sarmas, Evangelos Spiliotis, Nikos Dimitropoulos, et al.
Applied Sciences (2023) Vol. 13, Iss. 4, pp. 2749-2749
Open Access | Times Cited: 17

Evaluating the Chances of Implementing the “Fit for 55” Green Transition Package in the V4 Countries
Jacek Brożyna, Wadim Striełkowski, Aleš Zpěvák
Energies (2023) Vol. 16, Iss. 6, pp. 2764-2764
Open Access | Times Cited: 17

Scroll to top