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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:

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: 389

Showing 51-75 of 389 citing articles:

A short-term wind power prediction approach based on ensemble empirical mode decomposition and improved long short-term memory
Tianyue Jiang, Yutong Liu
Computers & Electrical Engineering (2023) Vol. 110, pp. 108830-108830
Closed Access | Times Cited: 16
A Bayesian adversarial probsparse Transformer model for long-term remaining useful life prediction
Yongbo Cheng, Junheng Qv, Ke Feng, et al.
Reliability Engineering & System Safety (2024) Vol. 248, pp. 110188-110188
Closed Access | Times Cited: 7
Comparison and integration of physical and interpretable AI-driven models for rainfall-runoff simulation
Sara Asadi, Patricia Jimeno‐Sáez, Adrián López-Ballesteros, et al.
Results in Engineering (2024) Vol. 24, pp. 103048-103048
Open Access | Times Cited: 7
Improving estimation capacity of a hybrid model of LSTM and SWAT by reducing parameter uncertainty
Hyemin Jeong, Byeongwon Lee, Dongho Kim, et al.
Journal of Hydrology (2024) Vol. 633, pp. 130942-130942
Closed Access | Times Cited: 6
Evaluation of performance enhancement in Ethereum fraud detection using oversampling techniques
Vaishali Ravindranath, M. K. Nallakaruppan, M. Lawanya Shri, et al.
Applied Soft Computing (2024) Vol. 161, pp. 111698-111698
Closed Access | Times Cited: 6
Machine Tool Wear Prediction Technology Based on Multi-Sensor Information Fusion
Kang Wang, Aimin Wang, Long Wu, et al.
Sensors (2024) Vol. 24, Iss. 8, pp. 2652-2652
Open Access | Times Cited: 5
Comparative Study of Long Short-Term Memory (LSTM), Bidirectional LSTM, and Traditional Machine Learning Approaches for Energy Consumption Prediction
Hamed Alizadegan, Arian Radmehr, Hossein Karimi, et al.
(2024)
Open Access | Times Cited: 5
Typhoon Intensity Forecasting Based on LSTM Using the Rolling Forecast Method
Shijin Yuan, Cheng Wang, Bin Mu, et al.
Algorithms (2021) Vol. 14, Iss. 3, pp. 83-83
Open Access | Times Cited: 38
Demand forecasting application with regression and artificial intelligence methods in a construction machinery company
Adnan Aktepe, Emre Yanık, Süleyman Ersöz
Journal of Intelligent Manufacturing (2021) Vol. 32, Iss. 6, pp. 1587-1604
Closed Access | Times Cited: 36
Multi-State Load Demand Forecasting Using Hybridized Support Vector Regression Integrated with Optimal Design of Off-Grid Energy Systems—A Metaheuristic Approach
Bashir Musa, Nasser Yimen, Sani I. Abba, et al.
Processes (2021) Vol. 9, Iss. 7, pp. 1166-1166
Open Access | Times Cited: 36
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: 36
A four-terminal-architecture cloud-edge-based digital twin system for thermal error control of key machining equipment in production lines
Jialan Liu, Chi Ma, Hongquan Gui, et al.
Mechanical Systems and Signal Processing (2021) Vol. 166, pp. 108488-108488
Closed Access | Times Cited: 33
A hierarchical method based on improved deep forest and case-based reasoning for railway turnout fault diagnosis
Yao Zhang, Tianhua Xu, Cong Chen, et al.
Engineering Failure Analysis (2021) Vol. 127, pp. 105446-105446
Closed Access | Times Cited: 32
Optimizing deep neural networks to predict the effect of social distancing on COVID-19 spread
Dixizi Liu, Weiping Ding, Zhijie Dong, et al.
Computers & Industrial Engineering (2022) Vol. 166, pp. 107970-107970
Open Access | Times Cited: 26
Deep spatio-temporal neural network based on interactive attention for traffic flow prediction
Hui Zeng, Zhiying Peng, Xiaohui Huang, et al.
Applied Intelligence (2022) Vol. 52, Iss. 9, pp. 10285-10296
Closed Access | Times Cited: 25
Decision support framework for inventory management combining fuzzy multicriteria methods, genetic algorithm, and artificial neural network
Guilherme Henrique de Paula Vidal, Rodrigo Goyannes Gusm�ão Caiado, Luiz Felipe Scavarda, et al.
Computers & Industrial Engineering (2022) Vol. 174, pp. 108777-108777
Closed Access | Times Cited: 24
A deep bi-directional long-short term memory neural network-based methodology to enhance short-term electricity load forecasting for residential applications
Sara Atef, Kazuhide Nakata, Amr Eltawil
Computers & Industrial Engineering (2022) Vol. 170, pp. 108364-108364
Closed Access | Times Cited: 23
EV Fleet Charging Load Forecasting Based on Multiple Decomposition With CEEMDAN and Swarm Decomposition
Emrah Dokur, Nuh Erdoğan, Sadik Kucuksari
IEEE Access (2022) Vol. 10, pp. 62330-62340
Open Access | Times Cited: 23
A PLS-based pruning algorithm for simplified long–short term memory neural network in time series prediction
Wenjing Li, Xiaoxiao Wang, Honggui Han, et al.
Knowledge-Based Systems (2022) Vol. 254, pp. 109608-109608
Closed Access | Times Cited: 23
Generative model-based hybrid forecasting model for renewable electricity supply using long short-term memory networks: A case study of South Korea's energy transition policy
Yoonjae Lee, Byeongmin Ha, Soonho Hwangbo
Renewable Energy (2022) Vol. 200, pp. 69-87
Closed Access | Times Cited: 23
A comparative study of different machine learning methods for dissipative quantum dynamics
Luis E. Herrera Rodríguez, Arif Ullah, Kennet J Rueda Espinosa, et al.
Machine Learning Science and Technology (2022) Vol. 3, Iss. 4, pp. 045016-045016
Open Access | Times Cited: 22
Classification of Low Earth Orbit (LEO) Resident Space Objects’ (RSO) Light Curves Using a Support Vector Machine (SVM) and Long Short-Term Memory (LSTM)
Randa Qashoa, Regina Lee
Sensors (2023) Vol. 23, Iss. 14, pp. 6539-6539
Open Access | Times Cited: 14
A novel attLSTM framework combining the attention mechanism and bidirectional LSTM for demand forecasting
Ligang Cui, Yingcong Chen, Jie Deng, et al.
Expert Systems with Applications (2024) Vol. 254, pp. 124409-124409
Closed Access | Times Cited: 5
Generative adversarial networks for stack voltage degradation and RUL estimation in PEMFCs under static and dynamic loads
Tamilarasan Sathesh, Chong-Kai Wang, Shih-Cheng Hu, et al.
International Journal of Hydrogen Energy (2024) Vol. 89, pp. 66-83
Closed Access | Times Cited: 5
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

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