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Citations	Article
35	Attention-Based CNN-RNN Arabic Text Recognition from Natural Scene Images by Hanan Butt, Muhammad Raheel Raza, Muhammad Javed Ramzan, Muhammad Junaid Ali and Muhammad Haris
31	Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks by Venkataramana Veeramsetty, Dongari Rakesh Chandra, Francesco Grimaccia and Marco Mussetta
30	Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices by Lorenzo Menculini, Andrea Marini, Massimiliano Proietti, Alberto Garinei, Alessio Bozza, Cecilia Moretti and Marcello Marconi
30	Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models by Apostolos Ampountolas
24	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
20	Examining Deep Learning Architectures for Crime Classification and Prediction by Panagiotis Stalidis, Theodoros Semertzidis and Petros Daras
19	SIMLR: Machine Learning inside the SIR Model for COVID-19 Forecasting by Roberto Vega, Leonardo Flores and Russell Greiner
18	A Day-Ahead Photovoltaic Power Prediction via Transfer Learning and Deep Neural Networks by Seyed Mahdi Miraftabzadeh, Cristian Giovanni Colombo, Michela Longo and Federica Foiadelli
18	A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance by Yixuan Li, Charalampos Stasinakis and Wee Meng Yeo
16	Forecasting the Monkeypox Outbreak Using ARIMA, Prophet, NeuralProphet, and LSTM Models in the United States by Bowen Long, Fangya Tan and Mark Newman

Citations	Article
24	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
18	A Day-Ahead Photovoltaic Power Prediction via Transfer Learning and Deep Neural Networks by Seyed Mahdi Miraftabzadeh, Cristian Giovanni Colombo, Michela Longo and Federica Foiadelli
16	Forecasting the Monkeypox Outbreak Using ARIMA, Prophet, NeuralProphet, and LSTM Models in the United States by Bowen Long, Fangya Tan and Mark Newman
14	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
13	Supervised and Unsupervised Machine Learning Algorithms for Forecasting the Fracture Location in Dissimilar Friction-Stir-Welded Joints by Akshansh Mishra and Anish Dasgupta
10	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
9	Forecasting Daily and Weekly Passenger Demand for Urban Rail Transit Stations Based on a Time Series Model Approach by Dung David Chuwang and Weiya Chen
9	Performance Analysis of Statistical, Machine Learning and Deep Learning Models in Long-Term Forecasting of Solar Power Production by Ashish Sedai, Rabin Dhakal, Shishir Gautam, Anibesh Dhamala, Argenis Bilbao, Qin Wang, Adam Wigington and Suhas Pol
8	Day Ahead Electric Load Forecast: A Comprehensive LSTM-EMD Methodology and Several Diverse Case Studies by Michael Wood, Emanuele Ogliari, Alfredo Nespoli, Travis Simpkins and Sonia Leva
8	The Power of Travel Search Data in Forecasting the Tourism Demand in Dubai by Ahmed Shoukry Rashad

Citations	Article
7	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
7	Data-Driven Methods for the State of Charge Estimation of Lithium-Ion Batteries: An Overview by Panagiotis Eleftheriadis, Spyridon Giazitzis, Sonia Leva and Emanuele Ogliari
3	A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes by Daniel Manfre Jaimes, Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
2	Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study by Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
2	A Composite Tool for Forecasting El Niño: The Case of the 2023–2024 Event by Costas Varotsos, Nicholas V. Sarlis, Yuri Mazei, Damir Saldaev and Maria Efstathiou
2	Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess by Amirhossein Sohrabbeig, Omid Ardakanian and Petr Musilek
1	Forecasting the Traffic Flow by Using ARIMA and LSTM Models: Case of Muhima Junction by Vienna N. Katambire, Richard Musabe, Alfred Uwitonze and Didacienne Mukanyiligira
1	Develo Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System by Devon Barrow, Antonija Mitrovic, Jay Holland, Mohammad Ali and Nikolaos Kourentzes**
1	Searching for Promisingly Trained Artificial Neural Networks by Juan M. Lujano-Rojas, Rodolfo Dufo-López, Jesús Sergio Artal-Sevil and Eduardo García-Paricio

Citations	Article
2	Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study by Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
2	A Composite Tool for Forecasting El Niño: The Case of the 2023–2024 Event by Costas Varotsos, Nicholas V. Sarlis, Yuri Mazei, Damir Saldaev and Maria Efstathiou
1	Develo Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System by Devon Barrow, Antonija Mitrovic, Jay Holland, Mohammad Ali and Nikolaos Kourentzes**

Citations	Article
93	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
47	Machine Learning-Based Error Modeling to Improve GPM IMERG Precipitation Product over the Brahmaputra River Basin by Md Abul Ehsan Bhuiyan, Feifei Yang, Nishan Kumar Biswas, Saiful Haque Rahat and Tahneen Jahan Neelam
38	Corporate Foresight and Dynamic Capabilities: An Exploratory Study by Lisa-Marie Semke and Victor Tiberius
36	Modeling and Forecasting Medium-Term Electricity Consumption Using Component Estimation Technique by Ismail Shah, Hasnain Iftikhar and Sajid Ali
35	Attention-Based CNN-RNN Arabic Text Recognition from Natural Scene Images by Hanan Butt, Muhammad Raheel Raza, Muhammad Javed Ramzan, Muhammad Junaid Ali and Muhammad Haris
32	Climatological Drought Forecasting Using Bias Corrected CMIP6 Climate Data: A Case Study for India by Alen Shrestha, Md Mafuzur Rahaman, Ajay Kalra, Rohit Jogineedi and Pankaj Maheshwari
31	Short Term Electric Power Load Forecasting Using Principal Component Analysis and Recurrent Neural Networks by Venkataramana Veeramsetty, Dongari Rakesh Chandra, Francesco Grimaccia and Marco Mussetta
31	A Multi-Stage Price Forecasting Model for Day-Ahead Electricity Markets by Radhakrishnan Angamuthu Chinnathambi, Anupam Mukherjee, Mitch Campion, Hossein Salehfar, Timothy M. Hansen, Jeremy Lin and Prakash Ranganathan
30	Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices by Lorenzo Menculini, Andrea Marini, Massimiliano Proietti, Alberto Garinei, Alessio Bozza, Cecilia Moretti and Marcello Marconi
30	Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models by Apostolos Ampountolas

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13392	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
11732	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
8470	Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks by Le Quyen Nguyen, Paula Odete Fernandes and João Paulo Teixeira
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8057	A Hybrid XGBoost-MLP Model for Credit Risk Assessment on Digital Supply Chain Finance by Yixuan Li, Charalampos Stasinakis and Wee Meng Yeo

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20258	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
13392	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
11732	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
8282	A Coordinated Analysis of Physical Reactivity to Daily Stressors: Age and Proactive Co Matter by Shevaun D. Neupert, Emily L. Smith and Margaret L. Schriefer**
8111	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
8107	Agricultural Commodities in the Context of the Russia-Ukraine War: Evidence from Corn, Wheat, Barley, and Sunflower Oil by Florin Aliu, Jiří Kučera and Simona Hašková
6090	Time Series Dataset Survey for Forecasting with Deep Learning by Yannik Hahn, Tristan Langer, Richard Meyes and Tobias Meisen
5758	Modeling and Forecasting Somali Economic Growth Using ARIMA Models by Abas Omar Mohamed
4622	Performance Analysis of Statistical, Machine Learning and Deep Learning Models in Long-Term Forecasting of Solar Power Production by Ashish Sedai, Rabin Dhakal, Shishir Gautam, Anibesh Dhamala, Argenis Bilbao, Qin Wang, Adam Wigington and Suhas Pol
4214	Forecasting the Monkeypox Outbreak Using ARIMA, Prophet, NeuralProphet, and LSTM Models in the United States by Bowen Long, Fangya Tan and Mark Newman

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11732	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
3249	A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes by Daniel Manfre Jaimes, Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
3075	Macroeconomic Predictions Using Payments Data and Machine Learning by James T. E. Chapman and Ajit Desai
2902	Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess by Amirhossein Sohrabbeig, Omid Ardakanian and Petr Musilek
2806	Forecasting the Traffic Flow by Using ARIMA and LSTM Models: Case of Muhima Junction by Vienna N. Katambire, Richard Musabe, Alfred Uwitonze and Didacienne Mukanyiligira
2764	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
2127	Data-Driven Methods for the State of Charge Estimation of Lithium-Ion Batteries: An Overview by Panagiotis Eleftheriadis, Spyridon Giazitzis, Sonia Leva and Emanuele Ogliari
1890	Advancements in Downscaling Global Climate Model Temperature Data in Southeast Asia: A Machine Learning Approach by Teerachai Amnuaylojaroen
1862	Can Denoising Enhance Prediction Accuracy of Learning Models? A Case of Wavelet Decomposition Approach by C. Tamilselvi, Md Yeasin, Ranjit Kumar Paul and Amrit Kumar Paul
1597	A Composite Tool for Forecasting El Niño: The Case of the 2023–2024 Event by Costas Varotsos, Nicholas V. Sarlis, Yuri Mazei, Damir Saldaev and Maria Efstathiou

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1597	A Composite Tool for Forecasting El Niño: The Case of the 2023–2024 Event by Costas Varotsos, Nicholas V. Sarlis, Yuri Mazei, Damir Saldaev and Maria Efstathiou
1583	Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study by Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
1496	Predictive Analytics of Air Temperature in Alaskan Permafrost Terrain Leveraging Two-Level Signal Decomposition and Deep Learning by Aymane Ahajjam, Jaakko Putkonen, Emmanuel Chukwuemeka, Robert Chance and Timothy J. Pasch
1452	Effective Natural Language Processing Algorithms for Early Alerts of Gout Flares from Chief Complaints by Lucas Lopes Oliveira, aorui Jiang, Aryalakshmi Nellippillipathil Babu, Poonam Karajagi and Alireza Daneshkhah**
1412	Develo Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System by Devon Barrow, Antonija Mitrovic, Jay Holland, Mohammad Ali and Nikolaos Kourentzes**
1406	Bootstrap Long-Run Covariance of Stationary Functional Time Series by Han Lin Shang**
1388	State-Dependent Model Based on Singular Spectrum Analysis Vector for Modeling Structural Breaks: Forecasting Indonesian Export by Yoga Sasmita, Heri Kuswanto and Dedy Dwi Prastyo
1302	Forecasting Convective Storms Trajectory and Intensity by Neural Networks by Niccolò Borghi, Giorgio Guariso and Matteo Sangiorgio

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20258	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
19229	The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting by Fotios Petropoulos and Evangelos Spiliotis
13851	Deep Learning for Demand Forecasting in the Fashion and Apparel Retail Industry by Chandadevi Giri and Yan Chen
13392	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
12933	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
11732	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
11679	An Overview of Population Projections—Methodological Concepts, International Data Availability, and Use Cases by Patrizio Vanella, Philipp Deschermeier and Christina B. Wilke
9479	Is It Possible to Forecast the Price of Bitcoin? by Julien Chevallier, Dominique Guégan and Stéphane Goutte
8844	Cost Estimating Using a New Learning Curve Theory for Non-Constant Production Rates by Dakotah Hogan, John Elshaw, Clay Koschnick, Jonathan Ritschel, Adedeji Badiru and Shawn Valentine
8470	Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks by Le Quyen Nguyen, Paula Odete Fernandes and João Paulo Teixeira

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4012	Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices by Lorenzo Menculini, Andrea Marini, Massimiliano Proietti, Alberto Garinei, Alessio Bozza, Cecilia Moretti and Marcello Marconi
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3155	Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks by Le Quyen Nguyen, Paula Odete Fernandes and João Paulo Teixeira
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2659	Attention-Based CNN-RNN Arabic Text Recognition from Natural Scene Images by Hanan Butt, Muhammad Raheel Raza, Muhammad Javed Ramzan, Muhammad Junaid Ali and Muhammad Haris
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2175	On the Autoregressive Time Series Model Using Real and Complex Analysis by Torsten Ullrich
2161	Examining Deep Learning Architectures for Crime Classification and Prediction by Panagiotis Stalidis, Theodoros Semertzidis and Petros Daras

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3357	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
2847	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
2403	Evaluating State-of-the-Art, Forecasting Ensembles and Meta-Learning Strategies for Model Fusion by Pieter Cawood and Terence Van Zyl
1990	On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles by Kate Murray, Andrea Rossi, Diego Carraro and Andrea Visentin
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1718	Precision and Reliability of Forecasts Performance Metrics by Philippe St-Aubin and Bruno Agard
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1184	The Power of Travel Search Data in Forecasting the Tourism Demand in Dubai by Ahmed Shoukry Rashad
1088	Time Series Dataset Survey for Forecasting with Deep Learning by Yannik Hahn, Tristan Langer, Richard Meyes and Tobias Meisen
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1493	Large Language Models: Their Success and Impact by Spyros Makridakis, Fotios Petropoulos and Yanfei Kang
684	A Hybrid Model for Multi-Day-Ahead Electricity Price Forecasting considering Price Spikes by Daniel Manfre Jaimes, Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
570	Data-Driven Methods for the State of Charge Estimation of Lithium-Ion Batteries: An Overview by Panagiotis Eleftheriadis, Spyridon Giazitzis, Sonia Leva and Emanuele Ogliari
567	Macroeconomic Predictions Using Payments Data and Machine Learning by James T. E. Chapman and Ajit Desai
529	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
483	Decompose and Conquer: Time Series Forecasting with Multiseasonal Trend Decomposition Using Loess by Amirhossein Sohrabbeig, Omid Ardakanian and Petr Musilek
465	Forecasting the Traffic Flow by Using ARIMA and LSTM Models: Case of Muhima Junction by Vienna N. Katambire, Richard Musabe, Alfred Uwitonze and Didacienne Mukanyiligira
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389	Can Denoising Enhance Prediction Accuracy of Learning Models? A Case of Wavelet Decomposition Approach by C. Tamilselvi, Md Yeasin, Ranjit Kumar Paul and Amrit Kumar Paul
379	Advancements in Downscaling Global Climate Model Temperature Data in Southeast Asia: A Machine Learning Approach by Teerachai Amnuaylojaroen

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529	Applying Machine Learning and Statistical Forecasting Methods for Enhancing Pharmaceutical Sales Predictions by Konstantinos P. Fourkiotis and Athanasios Tsadiras
389	Can Denoising Enhance Prediction Accuracy of Learning Models? A Case of Wavelet Decomposition Approach by C. Tamilselvi, Md Yeasin, Ranjit Kumar Paul and Amrit Kumar Paul
363	Forecasting the Occurrence of Electricity Price Spikes: A Statistical-Economic Investigation Study by Manuel Zamudio López, Hamidreza Zareipour and Mike Quashie
352	Effective Natural Language Processing Algorithms for Early Alerts of Gout Flares from Chief Complaints by Lucas Lopes Oliveira, aorui Jiang, Aryalakshmi Nellippillipathil Babu, Poonam Karajagi and Alireza Daneshkhah**
327	A Composite Tool for Forecasting El Niño: The Case of the 2023–2024 Event by Costas Varotsos, Nicholas V. Sarlis, Yuri Mazei, Damir Saldaev and Maria Efstathiou
308	Predictive Analytics of Air Temperature in Alaskan Permafrost Terrain Leveraging Two-Level Signal Decomposition and Deep Learning by Aymane Ahajjam, Jaakko Putkonen, Emmanuel Chukwuemeka, Robert Chance and Timothy J. Pasch
286	Deep Learning Models for Bitcoin Prediction Using Hybrid Approaches with Gradient-Specific Optimization by Amina Ladhari and Heni Boubaker
270	Develo Personalised Learning Support for the Business Forecasting Curriculum: The Forecasting Intelligent Tutoring System by Devon Barrow, Antonija Mitrovic, Jay Holland, Mohammad Ali and Nikolaos Kourentzes**
265	State-Dependent Model Based on Singular Spectrum Analysis Vector for Modeling Structural Breaks: Forecasting Indonesian Export by Yoga Sasmita, Heri Kuswanto and Dedy Dwi Prastyo
264	Bootstrap Long-Run Covariance of Stationary Functional Time Series by Han Lin Shang**

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7135	The Wisdom of the Data: Getting the Most Out of Univariate Time Series Forecasting by Fotios Petropoulos and Evangelos Spiliotis
6706	Trends in Using IoT with Machine Learning in Health Prediction System by Amani Aldahiri, Bashair Alrashed and Walayat Hussain
4377	Forecasting Commodity Prices: Looking for a Benchmark by Marek Kwas and Michał Rubaszek
4012	Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices by Lorenzo Menculini, Andrea Marini, Massimiliano Proietti, Alberto Garinei, Alessio Bozza, Cecilia Moretti and Marcello Marconi
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3357	Big Data and Predictive Analytics for Business Intelligence: A Bibliographic Study (2000–2021) by Yili Chen, Congdong Li and Han Wang
3170	Valuation Models Applied to Value-Based Management—Application to the Case of UK Companies with Problems by Marcel Ausloos
3155	Analyzing and Forecasting Tourism Demand in Vietnam with Artificial Neural Networks by Le Quyen Nguyen, Paula Odete Fernandes and João Paulo Teixeira
2847	Comprehensive Review of Power Electronic Converters in Electric Vehicle Applications by Rejaul Islam, S M Sajjad Hossain Rafin and Osama A. Mohammed
2798	Forecasting the Effects of In-Store Marketing on Conversion Rates for Online Shops by Holger Fink and Yvonne Graf

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