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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 Ensemble Model Based on Adaptive Noise Reducer and Over-Fitting Prevention LSTM for Multivariate Time Series Forecasting
Fagui Liu, Muqing Cai, Liangming Wang, et al.
IEEE Access (2019) Vol. 7, pp. 26102-26115
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Machine Learning, Deep Learning and Statistical Analysis for forecasting building energy consumption — A systematic review
Mohamad Khalil, A. Stephen McGough, Zoya Pourmirza, et al.
Engineering Applications of Artificial Intelligence (2022) Vol. 115, pp. 105287-105287
Closed Access | Times Cited: 149
A novel attention-based LSTM cell post-processor coupled with bayesian optimization for streamflow prediction
Babak Alizadeh, Alireza Ghaderi Bafti, Hamid Kamangir, et al.
Journal of Hydrology (2021) Vol. 601, pp. 126526-126526
Closed Access | Times Cited: 126
Clothing Sale Forecasting by a Composite GRU–Prophet Model With an Attention Mechanism
Yuanjiang Li, Yang Yi, Kai Zhu, et al.
IEEE Transactions on Industrial Informatics (2021) Vol. 17, Iss. 12, pp. 8335-8344
Closed Access | Times Cited: 67
Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models
Nemesio Fava Sopelsa Neto, Stéfano Frizzo Stefenon, Luiz Henrique Meyer, et al.
Sensors (2022) Vol. 22, Iss. 16, pp. 6121-6121
Open Access | Times Cited: 54
Improving the precision of monthly runoff prediction using the combined non-stationary methods in an oasis irrigation area
Chaofei He, Fulong Chen, Aihua Long, et al.
Agricultural Water Management (2023) Vol. 279, pp. 108161-108161
Open Access | Times Cited: 30
A Novel Variant of LSTM Stock Prediction Method Incorporating Attention Mechanism
Shuai Sang, Lü Li
Mathematics (2024) Vol. 12, Iss. 7, pp. 945-945
Open Access | Times Cited: 9
An end-to-end intrusion detection system with IoT dataset using deep learning with unsupervised feature extraction
Yesi Novaria Kunang, Siti Nurmaini, Deris Stiawan, et al.
International Journal of Information Security (2024) Vol. 23, Iss. 3, pp. 1619-1648
Closed Access | Times Cited: 8
Simulation of karst spring discharge using a combination of time–frequency analysis methods and long short-term memory neural networks
Lixing An, Yonghong Hao, Tian-Chyi Jim Yeh, et al.
Journal of Hydrology (2020) Vol. 589, pp. 125320-125320
Closed Access | Times Cited: 60
TranSEMG: A Trans-Scale Hybrid Model for High-Accurate Hip Joint Moment Prediction
Baoping Xiong, Yiran Chang, Nianyin Zeng, et al.
IEEE Transactions on Instrumentation and Measurement (2024) Vol. 73, pp. 1-11
Closed Access | Times Cited: 4
District Heating Load Prediction Algorithm Based on Feature Fusion LSTM Model
Guixiang Xue, Yu Pan, Tao Lin, et al.
Energies (2019) Vol. 12, Iss. 11, pp. 2122-2122
Open Access | Times Cited: 41
Deep Multivariate Time Series Embedding Clustering via Attentive-Gated Autoencoder
Dino Ienco, Roberto Interdonato
Lecture notes in computer science (2020), pp. 318-329
Open Access | Times Cited: 36
Detection of possible hydrological precursor anomalies using long short-term memory: A case study of the 1996 Lijiang earthquake
Xin Yan, Zheming Shi, Guangcai Wang, et al.
Journal of Hydrology (2021) Vol. 599, pp. 126369-126369
Closed Access | Times Cited: 29
Improvement of air quality index prediction using geographically weighted predictor methodology
Narathep Phruksahiran
Urban Climate (2021) Vol. 38, pp. 100890-100890
Closed Access | Times Cited: 28
New Results for Prediction of Chaotic Systems Using Deep Recurrent Neural Networks
José de Jesús Serrano-Pérez, Guillermo Fernández‐Anaya, S. Carrillo-Moreno, et al.
Neural Processing Letters (2021) Vol. 53, Iss. 2, pp. 1579-1596
Closed Access | Times Cited: 27
A new denoising approach based on mode decomposition applied to the stock market time series: 2LE-CEEMDAN
Zinnet Duygu Akşehır, Erdal Kılıç
PeerJ Computer Science (2024) Vol. 10, pp. e1852-e1852
Open Access | Times Cited: 3
Forecasting and uncertainty analysis of tailings dam system safety based on data mining techniques
Tengteng Hao, Kaili Xu, Xin Zheng, et al.
Applied Mathematical Modelling (2024) Vol. 133, pp. 474-490
Closed Access | Times Cited: 3
Interpretable multi-step hybrid deep learning model for karst spring discharge prediction: Integrating temporal fusion transformers with ensemble empirical mode decomposition
Renjie Zhou, Quanrong Wang, Aohan Jin, et al.
Journal of Hydrology (2024), pp. 132235-132235
Closed Access | Times Cited: 3
A Hybrid Method With Adaptive Sub-Series Clustering and Attention-Based Stacked Residual LSTMs for Multivariate Time Series Forecasting
Fagui Liu, Yunsheng Lu, Muqing Cai
IEEE Access (2020) Vol. 8, pp. 62423-62438
Open Access | Times Cited: 29
Handling Data Heterogeneity in Electricity Load Disaggregation via Optimized Complete Ensemble Empirical Mode Decomposition and Wavelet Packet Transform
Kwok Tai Chui, Brij B. Gupta, Ryan Wen Liu, et al.
Sensors (2021) Vol. 21, Iss. 9, pp. 3133-3133
Open Access | Times Cited: 23
Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models
Nemesio Fava Sopelsa Neto, Stéfano Frizzo Stefenon, Luiz Henrique Meyer, et al.
(2022)
Open Access | Times Cited: 18
Groundwater Radon Precursor Anomalies Identification by EMD-LSTM Model
X. Feng, Jun Zhong, Rui Yan, et al.
Water (2022) Vol. 14, Iss. 1, pp. 69-69
Open Access | Times Cited: 15
Performance Analysis of Deep Learning Techniques for Time Series Forecasting
Nrusingha Tripathy, Sarbeswara Hota, Sashikanta Prusty, et al.
2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) (2023)
Closed Access | Times Cited: 8
Reconstruction of missing spring discharge by using deep learning models with ensemble empirical mode decomposition of precipitation
Renjie Zhou, Yanyan Zhang
Environmental Science and Pollution Research (2022) Vol. 29, Iss. 54, pp. 82451-82466
Closed Access | Times Cited: 12
Small samples noise prediction of train electric traction system fan based on a multiple regression-fuzzy neural network
Tao Li, Xiaoting Wu, Yuyao He, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106781-106781
Closed Access | Times Cited: 7
CO2 emission prediction from coal used in power plants: a machine learning-based approach
Ankit Prakash, Sunil Kumar Singh
Iran Journal of Computer Science (2024) Vol. 7, Iss. 3, pp. 533-549
Open Access | Times Cited: 2
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