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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:

Tutorial on time series prediction using 1D-CNN and BiLSTM: A case example of peak electricity demand and system marginal price prediction
Jae-Dong Kim, S. Oh, Heesoo Kim, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 126, pp. 106817-106817
Closed Access | Times Cited: 38

Showing 1-25 of 38 citing articles:

A novel structure adaptive discrete grey Bernoulli prediction model and its applications in energy consumption and production
Yong Wang, Rui Yang, Juan Zhang, et al.
Energy (2024) Vol. 291, pp. 130368-130368
Closed Access | Times Cited: 13
Electricity demand error corrections with attention bi-directional neural networks
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Energy (2024) Vol. 291, pp. 129938-129938
Closed Access | Times Cited: 12
A novel multivariate electrical price bi-forecasting system based on deep learning, a multi-input multi-output structure and an operator combination mechanism
Ying Nie, Ping Li, Jianzhou Wang, et al.
Applied Energy (2024) Vol. 366, pp. 123233-123233
Closed Access | Times Cited: 9
Day-Ahead Electricity Price Prediction and Error Correction Method Based on Feature Construction–Singular Spectrum Analysis–Long Short-Term Memory
Yuzhe Jiang, Weiqing Sun
Energies (2025) Vol. 18, Iss. 4, pp. 919-919
Open Access | Times Cited: 1
Efficient daily electricity demand prediction with hybrid deep-learning multi-algorithm approach
Sujan Ghimire, Ravinesh C. Deo, David Casillas-Pérez, et al.
Energy Conversion and Management (2023) Vol. 297, pp. 117707-117707
Open Access | Times Cited: 20
Short-Term Stock Correlation Forecasting Based on CNN-BiLSTM Enhanced by Attention Mechanism
An Luo, Liang Zhong, Jianglin Wang, et al.
IEEE Access (2024) Vol. 12, pp. 29617-29632
Open Access | Times Cited: 6
LSTM time series NDVI prediction method incorporating climate elements: A case study of Yellow River Basin, China
Yan Guo, Lifeng Zhang, Yi He, et al.
Journal of Hydrology (2023) Vol. 629, pp. 130518-130518
Closed Access | Times Cited: 11
Hierarchical intention recognition framework in intelligent human‒computer interactions for helicopter and drone collaborative wildfire rescue missions
Ruisheng Zhang, Xuyi Qiu, Jichen Han, et al.
Engineering Applications of Artificial Intelligence (2025) Vol. 143, pp. 110037-110037
Closed Access
Fuzzy-Probabilistic Time Series Forecasting Combining Bayesian Network and Fuzzy Time Series Model
Bo Wang, Xiaodong Liu
Symmetry (2025) Vol. 17, Iss. 2, pp. 275-275
Open Access
Artificial intelligence-driven financial innovation: A robo-advisor system for robust returns across diversified markets
Qing Zhu, Chenyu Han, Shan Liu, et al.
Expert Systems with Applications (2025), pp. 126881-126881
Closed Access
A novel approach to analyzing the mechanical response of component failure in cable truss structures using an improved LSTM neural network
Zhansheng Liu, Guoliang Shi, Yue Liu
Engineering Failure Analysis (2025), pp. 109532-109532
Closed Access
Regional assessment of mold growth risk in light wood-framed wall envelope based on meteorological data-driven and neural network model
Yanyu Zhao, Xinmiao Meng, Shiyi Mei, et al.
European Journal of Wood and Wood Products (2025) Vol. 83, Iss. 2
Closed Access
Prediction of Waste Sludge Production in Municipal Wastewater Treatment Plants by Deep-Learning Algorithms with Antioverfitting Strategies
Juanjuan Chen, Weixiang Chao, Yixuan Wang, et al.
ACS ES&T Engineering (2025)
Closed Access
Deep learning for algorithmic trading: A systematic review of predictive models and optimization strategies
Mohiuddin Ahmed Bhuiyan, Md. Oliullah Rafi, Gourab Nicholas Rodrigues, et al.
Array (2025), pp. 100390-100390
Open Access
Understanding and predicting micro-characteristics of ultra-high performance concrete (UHPC) with green porous lightweight aggregates: Insights from machine learning techniques
Lingyan Zhang, Wangyang Xu, Dingqiang Fan, et al.
Construction and Building Materials (2024) Vol. 446, pp. 138021-138021
Closed Access | Times Cited: 3
A novel integrated prediction method using adaptive mode decomposition, attention mechanism and deep learning for coking products prices
Xuhui Zhu, Chenggong Ma, Lei Hao, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109504-109504
Closed Access | Times Cited: 2
Evaluation and process monitoring of jujube hot air drying using hyperspectral imaging technology and deep learning for quality parameters
Quancheng Liu, Xinna Jiang, Fan Wang, et al.
Food Chemistry (2024) Vol. 467, pp. 141999-141999
Closed Access | Times Cited: 2
A novel multifactor clustering integration paradigm based on two-stage feature engineering and improved bidirectional deep neural networks for exchange rate forecasting
Jujie Wang, Ying Dong, Jing Liu
Digital Signal Processing (2023) Vol. 143, pp. 104258-104258
Closed Access | Times Cited: 4
Lithium-Ion Battery SOH Estimation Method Based on Multi-Feature and CNN-BiLSTM-MHA
Yujie Zhou, Chaolong Zhang, Xulong Zhang, et al.
World Electric Vehicle Journal (2024) Vol. 15, Iss. 7, pp. 280-280
Open Access | Times Cited: 1
An Open Innovative Inventory Management Based Demand Forecasting Approach for the Steel Industry
Nonthaphat Sukolkit, Sirawadee Arunyanart, Arthit Apichottanakul
Journal of Open Innovation Technology Market and Complexity (2024), pp. 100407-100407
Open Access | Times Cited: 1
In vivo dynamic monitoring of circulating melanoma cells and the inhibitory effect of PD-L1 inhibitor based on PAFC equipped with a deep learning framework
Kai Pang, Ziran Song, Y. Liu, et al.
APL Photonics (2024) Vol. 9, Iss. 10
Open Access | Times Cited: 1
Lithium-ion battery SOH estimation method based on multi-feature and CNN-KAN
Zhaohui Zhang, Xin Liu, Runrun Zhang, et al.
Frontiers in Energy Research (2024) Vol. 12
Open Access | Times Cited: 1
Advanced forecast models for the climate and energy crisis: The case of the California independent system operator
Merve Bulut, Hüseyin AYDİLEK, Mustafa Yasin Erten, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 139, pp. 109602-109602
Closed Access | Times Cited: 1
A deep neural network with two-step decomposition technique for predicting ultra-short-term solar power and electrical load
Peter I. Udenze, Jiaqi Gong, S. Soltani, et al.
Applied Energy (2024) Vol. 382, pp. 125212-125212
Closed Access | Times Cited: 1
Short-term prediction of dissolved oxygen and water temperature using deep learning with dual proportional-integral-derivative error corrector in pond culture
Xin‐Hui Zhou, Yinfeng Hao, Yang Liu, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 142, pp. 109964-109964
Closed Access | Times Cited: 1
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