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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:

Forecasting Indonesia Exports using a Hybrid Model ARIMA-LSTM
Emmanuel Dave, Albert Leonardo, Marethia Jeanice, et al.
Procedia Computer Science (2021) Vol. 179, pp. 480-487
Open Access | Times Cited: 90

Showing 1-25 of 90 citing articles:

The hybrid PROPHET-SVR approach for forecasting product time series demand with seasonality
Guo Liang, Weiguo Fang, Qiuhong Zhao, et al.
Computers & Industrial Engineering (2021) Vol. 161, pp. 107598-107598
Closed Access | Times Cited: 73
A Review on Deep Sequential Models for Forecasting Time Series Data
Dozdar Mahdi Ahmed, Masoud Muhammed Hassan, Ramadhan J. Mstafa
Applied Computational Intelligence and Soft Computing (2022) Vol. 2022, pp. 1-19
Open Access | Times Cited: 51
Modeling and forecasting CO2 emissions in China and its regions using a novel ARIMA-LSTM model
Tingxin Wen, Yazhou Liu, Yun Bai, et al.
Heliyon (2023) Vol. 9, Iss. 11, pp. e21241-e21241
Open Access | Times Cited: 32
A hybrid forecasting model using LSTM and Prophet for energy consumption with decomposition of time series data
Serdar Arslan
PeerJ Computer Science (2022) Vol. 8, pp. e1001-e1001
Open Access | Times Cited: 37
Research on Stock Price Time Series Prediction Based on Deep Learning and Autoregressive Integrated Moving Average
Daiyou Xiao, Jinxia Su
Scientific Programming (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 31
Predicting CO2 Emissions from Traffic Vehicles for Sustainable and Smart Environment Using a Deep Learning Model
Abdullah H. Al-Nefaie, Theyazn H. H. Aldhyani
Sustainability (2023) Vol. 15, Iss. 9, pp. 7615-7615
Open Access | Times Cited: 20
A hybrid system based on ensemble learning to model residuals for time series forecasting
Domingos S. de O. Santos, Paulo S. G. de Mattos Neto, João Fausto Lorenzato de Oliveira, et al.
Information Sciences (2023) Vol. 649, pp. 119614-119614
Closed Access | Times Cited: 17
Multiscale cascaded domain-based approach for Arabic fake reviews detection in e-commerce platforms
Nour Qandos, Ghadir Hamad, Maitha Alharbi, et al.
Journal of King Saud University - Computer and Information Sciences (2024) Vol. 36, Iss. 2, pp. 101926-101926
Open Access | Times Cited: 7
LSTM-based Deep Learning Model for Stock Prediction and Predictive Optimization Model
Akhter Mohiuddin Rather
EURO Journal on Decision Processes (2021) Vol. 9, pp. 100001-100001
Open Access | Times Cited: 37
China futures price forecasting based on online search and information transfer
Jingyi Liang, Guozhu Jia
Data Science and Management (2022) Vol. 5, Iss. 4, pp. 187-198
Closed Access | Times Cited: 25
A novel hybrid model to forecast seasonal and chaotic time series
Hossein Abbasimehr, Amirreza Behboodi, Aram Bahrini
Expert Systems with Applications (2023) Vol. 239, pp. 122461-122461
Closed Access | Times Cited: 14
Deep Learning Model Effectiveness in Forecasting Limited-Size Aboveground Vegetation Biomass Time Series: Kenyan Grasslands Case Study
Efrain Noa-Yarasca, Javier M. Osorio Leyton, Jay P. Angerer
Agronomy (2024) Vol. 14, Iss. 2, pp. 349-349
Open Access | Times Cited: 6
Utilizing various statistical methods to model the impact of the COVID-19 pandemic on Gross domestic product
Fatimah M. Alghamdi, Mintodê Nicodème Atchadé, Maël Dossou-Yovo, et al.
Alexandria Engineering Journal (2024) Vol. 97, pp. 204-214
Open Access | Times Cited: 5
Hybrid time series models with exogenous variable for improved yield forecasting of major Rabi crops in India
Pramit Pandit, Atish Sagar, Bikramjeet Ghose, et al.
Scientific Reports (2023) Vol. 13, Iss. 1
Open Access | Times Cited: 13
Business Decision-Making Using Hybrid LSTM for Enhanced Operational Efficiency
V. Jeevika Tharini, Bommisetti Ravi Kumar, P. Sahaya Suganya Princes, et al.
Algorithms for intelligent systems (2024), pp. 155-166
Closed Access | Times Cited: 4
Wind speed prediction using LSTM and ARIMA time series analysis models: A case study of Gelibolu
Adem Demirtop, Onur Sevli
Turkish Journal of Engineering (2024) Vol. 8, Iss. 3, pp. 524-536
Open Access | Times Cited: 4
Predicting Meteorological Variables on Local Level with SARIMA, LSTM and Hybrid Techniques
Antonios Parasyris, George Alexandrakis, Georgios V. Kozyrakis, et al.
Atmosphere (2022) Vol. 13, Iss. 6, pp. 878-878
Open Access | Times Cited: 18
An approach to portfolio optimization with time series forecasting algorithms and machine learning techniques
Jyotirmayee Behera, Pankaj Kumar
Applied Soft Computing (2025), pp. 112741-112741
Closed Access
Enhancing Energy Consumption in Automotive Component Manufacturing: A Hybrid Autoregressive Integrated Moving Average–Long Short-Term Memory Prediction Model
Ragosebo Kgaugelo Modise, Khumbulani Mpofu, Tshifhiwa Nenzhelele, et al.
Sustainability (2025) Vol. 17, Iss. 4, pp. 1586-1586
Open Access
Statistical evaluation of a diversified surface solar irradiation data repository and forecasting using a recurrent neural network-hybrid model: A case study in Bhutan
Sangay Gyeltshen, Kiichiro Hayashi, Linwei Tao, et al.
Renewable Energy (2025), pp. 122706-122706
Open Access
Forecasting Bitcoin Price by a Hybrid Structure Based on ARIMA, SVM and LSSVM Models
Idin Noorani, Farshid Mehrdoust
Annals of Financial Economics (2025)
Closed Access
Time Series Forecasting Method Based on Multi-Scale Feature Fusion and Autoformer
Xiangkai Ma, Huaxiong Zhang
Applied Sciences (2025) Vol. 15, Iss. 7, pp. 3768-3768
Open Access
AI-Powered Trade Forecasting: A Data-Driven Approach to Saudi Arabia’s Non-Oil Exports
Musab Aloudah, Mahdi Alajmi, Alaa Sagheer, et al.
Big Data and Cognitive Computing (2025) Vol. 9, Iss. 4, pp. 94-94
Open Access
LSTM-ARIMA as a hybrid approach in algorithmic investment strategies
Kamil Kashif, Robert Ślepaczuk
Knowledge-Based Systems (2025), pp. 113563-113563
Open Access
Data-Driven Insights into the Pet Industry: Market Dynamics, Trade Policies, and Sustainable Growth Strategies
Jude Dzevela Kong, Dongxu Li, Qingzhuo Wang
(2025) Vol. 1, Iss. 1, pp. 1000037-1000037
Closed Access
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