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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:

Development and application of an evolutionary deep learning framework of LSTM based on improved grasshopper optimization algorithm for short-term load forecasting
Haowen Hu, Xin Xia, Yuanlin Luo, et al.
Journal of Building Engineering (2022) Vol. 57, pp. 104975-104975
Closed Access | Times Cited: 54

Showing 1-25 of 54 citing articles:

Application of Meta-Heuristic Algorithms for Training Neural Networks and Deep Learning Architectures: A Comprehensive Review
Mehrdad Kaveh, Mohammad Saadi Mesgari
Neural Processing Letters (2022) Vol. 55, Iss. 4, pp. 4519-4622
Open Access | Times Cited: 118
Data-driven next-generation smart grid towards sustainable energy evolution: techniques and technology review
Faiaz Ahsan, Nazia Hasan Dana, Subrata K. Sarker, et al.
Protection and Control of Modern Power Systems (2023) Vol. 8, Iss. 1
Open Access | Times Cited: 57
CNNs-Transformer based day-ahead probabilistic load forecasting for weekends with limited data availability
Zhirui Tian, Weican Liu, Wenqian Jiang, et al.
Energy (2024) Vol. 293, pp. 130666-130666
Closed Access | Times Cited: 28
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
Short-term load forecasting based on WM algorithm and transfer learning model
Nan Wei, Chuang Yin, Lihua Yin, et al.
Applied Energy (2023) Vol. 353, pp. 122087-122087
Closed Access | Times Cited: 36
Current status, challenges, and prospects of data-driven urban energy modeling: A review of machine learning methods
Prajowal Manandhar, Hasan Rafiq, Edwin Rodríguez-Ubiñas
Energy Reports (2023) Vol. 9, pp. 2757-2776
Open Access | Times Cited: 30
Dynamic response prediction of high-speed train on cable-stayed bridge based on genetic algorithm and fused neural networks
Qian Zhang, Xiaopei Cai, Yilin Zhong, et al.
Engineering Structures (2024) Vol. 306, pp. 117869-117869
Closed Access | Times Cited: 11
Automotive Electric Power Steering Control With Robust Observer Based Neuroadaptive Type-2 Radial Basis Function Methodology
Abdollah Amirkhani, Masoud Shirzadeh, Jamshid Heydari
IEEE Open Journal of Vehicular Technology (2024) Vol. 5, pp. 592-605
Open Access | Times Cited: 8
Research and application of a novel selective stacking ensemble model based on error compensation and parameter optimization for AQI prediction
Peng Tian, Jinlin Xiong, Kai Sun, et al.
Environmental Research (2024) Vol. 247, pp. 118176-118176
Closed Access | Times Cited: 7
Simultaneous forecasting of wind speed for multiple stations based on attribute-augmented spatiotemporal graph convolutional network and tree-structured parzen estimator
Chu Zhang, Xiujie Qiao, Zhao Zhang, et al.
Energy (2024) Vol. 295, pp. 131058-131058
Closed Access | Times Cited: 7
An evolutionary stacked generalization model based on deep learning and improved grasshopper optimization algorithm for predicting the remaining useful life of PEMFC
Chu Zhang, Haowen Hu, Jie Ji, et al.
Applied Energy (2022) Vol. 330, pp. 120333-120333
Closed Access | Times Cited: 31
State-of-health estimation for lithium-ion battery via an evolutionary Stacking ensemble learning paradigm of random vector functional link and active-state-tracking long–short-term memory neural network
Yue Zhang, Yeqin Wang, Chu Zhang, et al.
Applied Energy (2023) Vol. 356, pp. 122417-122417
Closed Access | Times Cited: 18
Enhanced Load Forecasting for Distributed Multi-Energy System: A Stacking Ensemble Learning Method With Deep Reinforcement Learning And Model Fusion
Xiaoxiao Ren, Xin Tian, Kai Wang, et al.
(2025)
Closed Access
An Innovative NOx Emissions Prediction Model Based on Random Forest Feature Selection and Evolutionary Reformer
Meng Xian-yu, Xi Li, Jialei Chen, et al.
Processes (2025) Vol. 13, Iss. 1, pp. 107-107
Open Access
Estimating Missing Values in Compressive Strength of Cementitious Materials: A Machine Learning and Statistical Approach with Irregular Data
Won-Taek Hong, Hyung‐Koo Yoon
Journal of Building Engineering (2025) Vol. 101, pp. 111797-111797
Closed Access
Short-Term Power Load Forecasting in City Based on ISSA-BiTCN-LSTM
Chaodong Fan, Gongrong Li, Leyi Xiao, et al.
Cognitive Computation (2025) Vol. 17, Iss. 1
Closed Access
Enhanced load forecasting for distributed multi-energy system: A stacking ensemble learning method with deep reinforcement learning and model fusion
Xiaoxiao Ren, Xin Tian, Kai Wang, et al.
Energy (2025), pp. 135031-135031
Closed Access
Construction and optimization of personalized learning paths for English learners based on SSA-LSTM model
Yajing Sun
Systems and Soft Computing (2025), pp. 200218-200218
Open Access
A Study of Optimization in Deep Neural Networks for Regression
Chieh-Huang Chen, Jung-Pin Lai, Yu-Ming Chang, et al.
Electronics (2023) Vol. 12, Iss. 14, pp. 3071-3071
Open Access | Times Cited: 13
Improving building energy consumption prediction using occupant-building interaction inputs and improved swarm intelligent algorithms
Chengyu Zhang, Liangdong Ma, Han Xing, et al.
Journal of Building Engineering (2023) Vol. 73, pp. 106671-106671
Open Access | Times Cited: 12
Advances in Deep Learning Techniques for Short-term Energy Load Forecasting Applications: A Review
Radhika Chandrasekaran, Senthil Kumar Paramasivan
Archives of Computational Methods in Engineering (2024)
Closed Access | Times Cited: 4
Short-term electricity load forecasting based on a novel data preprocessing system and data reconstruction strategy
Yao Meng, Sining Yun, Zeni Zhao, et al.
Journal of Building Engineering (2023) Vol. 77, pp. 107432-107432
Closed Access | Times Cited: 10
An RBF neural network based on improved black widow optimization algorithm for classification and regression problems
Hui Liu, Guo Zhou, Yongquan Zhou, et al.
Frontiers in Neuroinformatics (2023) Vol. 16
Open Access | Times Cited: 9
A multi-stage ensemble model for power load forecasting based on decomposition, error factors, and multi-objective optimization algorithm
Chaodong Fan, Shanghao Nie, Leyi Xiao, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 155, pp. 109620-109620
Open Access | Times Cited: 8
Short-term PV power data prediction based on improved FCM with WTEEMD and adaptive weather weights
Fengpeng Sun, Longhao Li, Dun-xin Bian, et al.
Journal of Building Engineering (2024) Vol. 90, pp. 109408-109408
Closed Access | Times Cited: 2
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