Open Access Helper

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:

An optimized model using LSTM network for demand forecasting
Hossein Abbasimehr, Mostafa Shabani, Mohsen Yousefi
Computers & Industrial Engineering (2020) Vol. 143, pp. 106435-106435
Closed Access | Times Cited: 392

Showing 76-100 of 392 citing articles:

AI-driven improvement of monthly average rainfall forecasting in Mecca using grid search optimization for LSTM networks
Fehaid Alqahtani
Journal of Water and Climate Change (2024) Vol. 15, Iss. 4, pp. 1439-1458
Open Access | Times Cited: 4
Enhancing Smart Cities through Third-Party Logistics: Predicting Delivery Intensity
Mariusz Kmiecik, Aleksandra Wierzbicka
Smart Cities (2024) Vol. 7, Iss. 1, pp. 541-565
Open Access | Times Cited: 4
Demand Time Series Prediction of Stacked Long Short-Term Memory Electric Vehicle Charging Stations Based on Fused Attention Mechanism
Chengyu Yang, Han Zhou, Ximing Chen, et al.
Energies (2024) Vol. 17, Iss. 9, pp. 2041-2041
Open Access | Times Cited: 4
A study on the prediction of service reliability of wireless telecommunication system via distribution regression
Yan‐Fu Li, Wei Zhao, Chen Zhang, et al.
Reliability Engineering & System Safety (2024) Vol. 250, pp. 110291-110291
Closed Access | Times Cited: 4
Uncertainty analysis of photovoltaic power generation system and intelligent coupling prediction
Guo‐Feng Fan, Yi-Wen Feng, Li‐Ling Peng, et al.
Renewable Energy (2024) Vol. 234, pp. 121174-121174
Closed Access | Times Cited: 4
Machine learning based-model to predict catalytic performance on removal of hazardous nitrophenols and azo dyes pollutants from wastewater
Mohammad Sherjeel Javed Khan, Lariyah Mohd Sidek, Pavitra Kumar, et al.
International Journal of Biological Macromolecules (2024) Vol. 278, pp. 134701-134701
Closed Access | Times Cited: 4
TCN-Transformer Deep Network with Random Forest for Prediction of the Chemical Synthetic Ammonia Process
Dong Jian-guo, Xiaona Liu, Ruixian Su, et al.
ACS Omega (2025) Vol. 10, Iss. 2, pp. 2269-2279
Open Access
Deep learning framework for multi-demand forecasting and joint prediction of production, distribution, and maintenance across multiple manufacturing sites
Mohamed Ali Kammoun, Zied Hajej, Sami Bennour, et al.
The International Journal of Advanced Manufacturing Technology (2025)
Closed Access
Time series forecasting via integrating a filtering method: an application to electricity consumption
Felipe Leite Coelho da Silva, Josiane da Silva Cordeiro, Kleyton da Costa, et al.
Computational Statistics (2025)
Closed Access
Machine Learning Techniques and Multi-objective Programming to Select the Best Suppliers and Determine the Orders
Asma ul Husna, Saman Hassanzadeh Amin, Ahmad Ghasempoor
Machine Learning with Applications (2025), pp. 100623-100623
Open Access
Short-term interval-valued load forecasting with a combined strategy of iHW and multioutput machine learning
Feng Gao, Jie Song, Xueyan Shao
Annals of Operations Research (2025)
Closed Access
TXtreme: transformer-based extreme value prediction framework for time series forecasting
Hemant Yadav, Amit Thakkar
Deleted Journal (2025) Vol. 7, Iss. 2
Open Access
Detecting Attacks and Estimating States of Power Grids from Partial Observations with Machine Learning
Zheng-Meng Zhai, Mohammadamin Moradi, Ying–Cheng Lai
PRX Energy (2025) Vol. 4, Iss. 1
Open Access
Demand-driven storage allocation for optimizing order picking processes
G.T.S. Ho, Valerie Tang, P.H. Tong, et al.
Expert Systems with Applications (2025) Vol. 272, pp. 126812-126812
Closed Access
Electricity demand forecasting and power supply planning under carbon neutral targets
Li Guangxiao, Yang Yilu, Zongjie Liu, et al.
Energy Reports (2025) Vol. 13, pp. 2740-2751
Closed Access
Big time series data forecasting based on deep autoencoding and clustering
Hossein Abbasimehr, Ali Noshad
Cluster Computing (2025) Vol. 28, Iss. 4
Closed Access
Financial Time Series Forecasting: A Comprehensive Review of Signal Processing and Optimization-Driven Intelligent Models
Matoori Praveen, Satish Dekka, Sai Dai, et al.
Computational Economics (2025)
Closed Access
Cost-oriented capacity assessment for renewable power systems with automatic reserve neural networks and information gap decision theory
Zheng Fan, Hongbo Hao, Weimao Xu
Energy Reports (2025) Vol. 13, pp. 3430-3441
Closed Access
Hydro-environmental predictive management of sub-surface salinization in arid nearshore-coastal saline aquifer using deep learning and SHAP analysis
Fahad Jibrin Abdu, Shaibu Isah, Jamilu Usman, et al.
Research Square (Research Square) (2025)
Closed Access
LightGBM-driven one-day-ahead electrical load forecasting for enhancing operational efficiency of a power distribution company of Bangladesh
Suvankar Biswas, Arup Kundu, Joyprokash Chakrabartty
Electrical Engineering (2025)
Closed Access
Gas loss prediction in underground hydrogen storage using an improved capacitance–resistance model for carbon neutrality of China
Zhengguang Liu, Lu Liu, Lin Ma, et al.
Energy Ecology and Environment (2025)
Open Access
SOT-FER: A multi-tier entropy-based time series forecasting framework with an application to manufacturing
Milton Soto-Ferrari
Computers & Industrial Engineering (2025), pp. 111071-111071
Closed Access
Nonlinear Dynamic Soft-Sensing Modeling of NOx Emission of a Selective Catalytic Reduction Denitration System
Xiuliang Wu, Xiaodong Yu, Rui Xu, et al.
IEEE Transactions on Instrumentation and Measurement (2022) Vol. 71, pp. 1-11
Closed Access | Times Cited: 19
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: 11
A grey seasonal least square support vector regression model for time series forecasting
Weijie Zhou, Yuke Cheng, Song Ding, et al.
ISA Transactions (2020) Vol. 114, pp. 82-98
Closed Access | Times Cited: 31

Scroll to top