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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:

Peak Electrical Energy Consumption Prediction by ARIMA, LSTM, GRU, ARIMA-LSTM and ARIMA-GRU Approaches
A. Pierre, Salami Adekunlé Akim, Agbosse Kodjovi Semenyo, et al.
Energies (2023) Vol. 16, Iss. 12, pp. 4739-4739
Open Access | Times Cited: 42

Showing 1-25 of 42 citing articles:

A hybrid prediction interval model for short-term electric load forecast using Holt-Winters and Gate Recurrent Unit
Xin He, Wenlu Zhao, Zhijun Gao, et al.
Sustainable Energy Grids and Networks (2024) Vol. 38, pp. 101343-101343
Closed Access | Times Cited: 11
Comparing ARIMA and various deep learning models for long-term water quality index forecasting in Dez River, Iran
Amir Reza R. Niknam, Maryam Sabaghzadeh, Ali Barzkar, et al.
Environmental Science and Pollution Research (2024)
Closed Access | Times Cited: 6
Reconstructing historical forest fire risk in the non-satellite era using the improved forest fire danger index and long short-term memory deep learning-a case study in Sichuan Province, southwestern China
Yuwen Peng, Huiyi Su, Min Sun, et al.
Forest Ecosystems (2024) Vol. 11, pp. 100170-100170
Open Access | Times Cited: 4
A novel damped conformable fractional grey Bernoulli model and its applications in energy prediction with uncertainties
Nailu Li, Eto Sultanan Razia, haonan ba
Applied Mathematical Modelling (2024) Vol. 130, pp. 94-118
Closed Access | Times Cited: 4
Encoder–Decoder Based LSTM and GRU Architectures for Stocks and Cryptocurrency Prediction
Joy Dip Das, Ruppa K. Thulasiram, Christopher J. Henry, et al.
Journal of risk and financial management (2024) Vol. 17, Iss. 5, pp. 200-200
Open Access | Times Cited: 4
The Development Trend of New Energy Electric Vehicles Based on Correlation Model
Dan Chen, N. Xu, Siqi Bo, et al.
Sustainable civil infrastructures (2025), pp. 317-331
Closed Access
COMPARING FORECASTS OF AGRICULTURAL SECTOR EXPORT VALUES USING SARIMA AND LONG SHORT-TERM MEMORY MODELS
Aleytha Ilahnugrah Kurnadipare, Sri Amaliya, Khairil Anwar Notodiputro, et al.
BAREKENG JURNAL ILMU MATEMATIKA DAN TERAPAN (2025) Vol. 19, Iss. 1, pp. 385-396
Open 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
EDformer family: End-to-end multi-task load forecasting frameworks for day-ahead economic dispatch
Zhirui Tian, Weican Liu, Jiahao Zhang, et al.
Applied Energy (2025) Vol. 383, pp. 125319-125319
Closed Access
An energy consumption prediction approach in smart cities by CNN-LSTM network improved with game theory and Namib Beetle Optimization (NBO) algorithm
Meysam Chahardoli, Nafiseh Osati Eraghi, Sara Nazari
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
PilotCareTrans Net: an EEG data-driven transformer for pilot health monitoring
Kun Zhao, Xueying Guo
Frontiers in Human Neuroscience (2025) Vol. 19
Open Access
Few-Shot Load Forecasting Under Data Scarcity in Smart Grids: A Meta-Learning Approach
Georgios Tsoumplekas, Christos L. Athanasiadis, Dimitrios I. Doukas, et al.
Energies (2025) Vol. 18, Iss. 3, pp. 742-742
Open 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
Dual-layered deep learning and optimization algorithm for electric vehicles charging infrastructure planning
Bishoy E. Sedhom, Abdelfattah A. Eladl, Pierluigi Siano, et al.
International Journal of Electrical Power & Energy Systems (2025) Vol. 166, pp. 110545-110545
Closed 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 Water Demand With the Long Short-Term Memory Deep Learning Mode
Junhua Xu
International Journal of Information Technologies and Systems Approach (2024) Vol. 17, Iss. 1, pp. 1-18
Open Access | Times Cited: 3
COMPARISON OF ARIMA AND LSTM METHODS IN PREDICTING JAKARTA SEA LEVEL
Yanuar Nurul Hilal, Gibson Daniel Andrianto Nainggolan, Sabilla Hamda Syahputri, et al.
Jurnal Ilmu dan Teknologi Kelautan Tropis (2024) Vol. 16, Iss. 2, pp. 163-178
Open Access | Times Cited: 2
A new deep recurrent hybrid artificial neural network of gated recurrent units and simple seasonal exponential smoothing
Emine Kolemen, Erol Eğrioğlu, Eren Baş, et al.
Granular Computing (2023) Vol. 9, Iss. 1
Closed Access | Times Cited: 6
Short- and Medium-Term Electricity Consumption Forecasting Using Prophet and GRU
Nam-Rye Son, Yoonjeong Shin
Sustainability (2023) Vol. 15, Iss. 22, pp. 15860-15860
Open Access | Times Cited: 5
Assessing the Impact of Seasonal Decomposition on the Time Series Analysis Accuracy: A Comprehensive Study
Shivam Raghuvanshi
International Journal for Research in Applied Science and Engineering Technology (2024) Vol. 12, Iss. 5, pp. 2988-2992
Open Access | Times Cited: 1
Hybrid Data-Driven and Deep Learning Based Portfolio Optimization
Joy Dip Das, Sulalitha Bowala, Ruppa K. Thulasiram, et al.
Journal of Mathematical Finance (2024) Vol. 14, Iss. 03, pp. 271-310
Open Access | Times Cited: 1
RR intervals prediction method for cardiovascular patients optimized LSTM based on ISSA
Wenjie Yu, Zhilin Pan, Dayang Tang, et al.
Biomedical Signal Processing and Control (2024) Vol. 100, pp. 106904-106904
Closed Access | Times Cited: 1
Wavelet CNN‐LSTM time series forecasting of electricity power generation considering biomass thermal systems
William Gouvêa Buratto, Rafael Ninno Muniz, Ademir Nied, et al.
IET Generation Transmission & Distribution (2024) Vol. 18, Iss. 21, pp. 3437-3451
Open Access | Times Cited: 1
Short- and Medium-Term Electricity Consumption Forecasting Using Prophet and GRU
Nam-Rye Son, Yoonjeong Shin
(2023)
Open Access | Times Cited: 4
Prediction of Liaoning province steel import and export trade based on deep learning models
Limin Zhang
Expert Systems (2024)
Closed Access
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