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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 26-50 of 389 citing articles:

A short-term load forecasting model based on mixup and transfer learning
Yuting Lu, Gaocai Wang, Shuqiang Huang
Electric Power Systems Research (2022) Vol. 207, pp. 107837-107837
Closed Access | Times Cited: 47
The derived demand for advertising expenses and implications on sustainability: a comparative study using deep learning and traditional machine learning methods
Şule Öztürk Birim, İpek Kazançoğlu, Sachin Kumar Mangla, et al.
Annals of Operations Research (2022) Vol. 339, Iss. 1-2, pp. 131-161
Open Access | Times Cited: 40
A new key performance indicator model for demand forecasting in inventory management considering supply chain reliability and seasonality
Yasin Tadayonrad, Alassane Ballé Ndiaye
Supply Chain Analytics (2023) Vol. 3, pp. 100026-100026
Open Access | Times Cited: 38
BTAD: A binary transformer deep neural network model for anomaly detection in multivariate time series data
Mingrui Ma, Lansheng Han, Chunjie Zhou
Advanced Engineering Informatics (2023) Vol. 56, pp. 101949-101949
Closed Access | Times Cited: 37
SqueezeNet for the forecasting of the energy demand using a combined version of the sewing training-based optimization algorithm
Noradin Ghadimi, Elnazossadat Yasoubi, Ehsan Akbari, et al.
Heliyon (2023) Vol. 9, Iss. 6, pp. e16827-e16827
Open Access | Times Cited: 37
Artificial Intelligence-Assisted Prediction of Effluent Phosphorus in a Full-Scale Wastewater Treatment Plant with Missing Phosphorus Input and Removal Data
Yanran Xu, Zixuan Wang, Shaker Nairat, et al.
ACS ES&T Water (2023) Vol. 4, Iss. 3, pp. 880-889
Closed Access | Times Cited: 27
Deep Learning for Time-Series Prediction in IIoT: Progress, Challenges, and Prospects
Lei Ren, Zidi Jia, Yuanjun Laili, et al.
IEEE Transactions on Neural Networks and Learning Systems (2023), pp. 1-20
Open Access | Times Cited: 22
A Novel Photovoltaic Power Prediction Method Based on a Long Short-Term Memory Network Optimized by an Improved Sparrow Search Algorithm
Yue Chen, Xiaoli Li, Shuguang Zhao
Electronics (2024) Vol. 13, Iss. 5, pp. 993-993
Open Access | Times Cited: 8
Multivariate time series prediction with multi-feature analysis
Junfeng Chen, Azhu Guan, Jingjing Du, et al.
Expert Systems with Applications (2025) Vol. 268, pp. 126302-126302
Closed Access | Times Cited: 1
Selection of key features for PM2.5 prediction using a wavelet model and RBF-LSTM
Yi‐Chung Chen, Dong-Chi Li
Applied Intelligence (2020) Vol. 51, Iss. 4, pp. 2534-2555
Closed Access | Times Cited: 52
Novel short-term solar radiation hybrid model: Long short-term memory network integrated with robust local mean decomposition
Anh Ngoc-Lan Huynh, Ravinesh C. Deo, Mumtaz Ali, et al.
Applied Energy (2021) Vol. 298, pp. 117193-117193
Closed Access | Times Cited: 49
Integrating Machine Learning, Radio Frequency Identification, and Consignment Policy for Reducing Unreliability in Smart Supply Chain Management
Suman Kalyan Sardar, Biswajit Sarkar, Byunghoon Kim
Processes (2021) Vol. 9, Iss. 2, pp. 247-247
Open Access | Times Cited: 47
Impact of COVID-19 on the US Construction Industry as Revealed in the Purdue Index for Construction
JungHo Jeon, Suyash Padhye, Arkaprabha Bhattacharyya, et al.
Journal of Management in Engineering (2021) Vol. 38, Iss. 1
Closed Access | Times Cited: 46
Copper price forecasted by hybrid neural network with Bayesian Optimization and wavelet transform
Kailei Liu, Jinhua Cheng, Jiahui Yi
Resources Policy (2021) Vol. 75, pp. 102520-102520
Closed Access | Times Cited: 46
On the Application of ARIMA and LSTM to Predict Order Demand Based on Short Lead Time and On-Time Delivery Requirements
Chien-Chih Wang, Chun-Hua Chien, Amy J.C. Trappey
Processes (2021) Vol. 9, Iss. 7, pp. 1157-1157
Open Access | Times Cited: 42
Robust LSTM With Tuned-PSO and Bifold-Attention Mechanism for Analyzing Multivariate Time-Series
Andri Pranolo, Yingchi Mao, Aji Prasetya Wibawa, et al.
IEEE Access (2022) Vol. 10, pp. 78423-78434
Open Access | Times Cited: 37
Demand forecasting model for time-series pharmaceutical data using shallow and deep neural network model
R. Rathipriya, Abdul Aziz Abdul Rahman, S. Dhamodharavadhani, et al.
Neural Computing and Applications (2022) Vol. 35, Iss. 2, pp. 1945-1957
Open Access | Times Cited: 37
Cluster-based demand forecasting using Bayesian model averaging: An ensemble learning approach
Mahya Seyedan, Fereshteh Mafakheri, Chun Wang
Decision Analytics Journal (2022) Vol. 3, pp. 100033-100033
Open Access | Times Cited: 31
A novel seasonal segmentation approach for day-ahead load forecasting
Abhishek Sharma, Sachin K. Jain
Energy (2022) Vol. 257, pp. 124752-124752
Closed Access | Times Cited: 30
COVID-19 ICU demand forecasting: A two-stage Prophet-LSTM approach
DALTON BORGES, Mariá C. V. Nascimento
Applied Soft Computing (2022) Vol. 125, pp. 109181-109181
Open Access | Times Cited: 29
A performance-based hybrid deep learning model for predicting TBM advance rate using Attention-ResNet-LSTM
Sihao Yu, Zixin Zhang, Shuaifeng Wang, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2023) Vol. 16, Iss. 1, pp. 65-80
Open Access | Times Cited: 20
Analytical and deep learning approaches for solving the inverse kinematic problem of a high degrees of freedom robotic arm
Nesrine Wagaa, Hichem Kallel, Nédra Mellouli
Engineering Applications of Artificial Intelligence (2023) Vol. 123, pp. 106301-106301
Closed Access | Times Cited: 19
Reconstruction-based anomaly detection for multivariate time series using contrastive generative adversarial networks
Jiawei Miao, Haicheng Tao, Haoran Xie, et al.
Information Processing & Management (2023) Vol. 61, Iss. 1, pp. 103569-103569
Closed Access | Times Cited: 19
Stock Price Prediction Using Long Short-term Memory
B Vidhya, Ajmeera Kiran
NanoWorld Journal (2023) Vol. 9
Open Access | Times Cited: 19
Order-up-to-level inventory optimization model using time-series demand forecasting with ensemble deep learning
Mahya Seyedan, Fereshteh Mafakheri, Chun Wang
Supply Chain Analytics (2023) Vol. 3, pp. 100024-100024
Open Access | Times Cited: 17

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