Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Showing 1-25 of 122 citing articles:

Short-Term Load Forecasting for Industrial Customers Based on TCN-LightGBM
Yuanyuan Wang, Jun Chen, Xiaoqiao Chen, et al.
IEEE Transactions on Power Systems (2020) Vol. 36, Iss. 3, pp. 1984-1997
Closed Access | Times Cited: 250
Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads
Zichen Zhang, Wei‐Chiang Hong
Knowledge-Based Systems (2021) Vol. 228, pp. 107297-107297
Closed Access | Times Cited: 183
Predictions of carbon emission intensity based on factor analysis and an improved extreme learning machine from the perspective of carbon emission efficiency
Wei Sun, Chenchen Huang
Journal of Cleaner Production (2022) Vol. 338, pp. 130414-130414
Closed Access | Times Cited: 181
Short-term load forecasting of industrial customers based on SVMD and XGBoost
Yuanyuan Wang, Shanfeng Sun, Xiaoqiao Chen, et al.
International Journal of Electrical Power & Energy Systems (2021) Vol. 129, pp. 106830-106830
Closed Access | Times Cited: 160
Hierarchical Harris hawks optimizer for feature selection
Lemin Peng, Zhennao Cai, Ali Asghar Heidari, et al.
Journal of Advanced Research (2023) Vol. 53, pp. 261-278
Open Access | Times Cited: 54
Modeling energy-efficient building loads using machine-learning algorithms for the design phase
Flavian Emmanuel Sapnken, Mohammad M. Hamed, Božidar Soldo, et al.
Energy and Buildings (2023) Vol. 283, pp. 112807-112807
Closed Access | Times Cited: 40
Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting
Eric Ofori-Ntow, Yao Yevenyo Ziggah, Susana Relvas
Sustainable Cities and Society (2020) Vol. 66, pp. 102679-102679
Closed Access | Times Cited: 92
Multivariate empirical mode decomposition based hybrid model for day-ahead peak load forecasting
Yanmei Huang, Najmul Hasan, Changrui Deng, et al.
Energy (2021) Vol. 239, pp. 122245-122245
Open Access | Times Cited: 75
Decision Support Algorithm for Selecting an Antivirus Mask over COVID-19 Pandemic under Spherical Normal Fuzzy Environment
Zaoli Yang, Xin Li, Harish Garg, et al.
International Journal of Environmental Research and Public Health (2020) Vol. 17, Iss. 10, pp. 3407-3407
Open Access | Times Cited: 73
Advances in the Application of Machine Learning Techniques for Power System Analytics: A Survey
Seyed Mahdi Miraftabzadeh, Michela Longo, Federica Foiadelli, et al.
Energies (2021) Vol. 14, Iss. 16, pp. 4776-4776
Open Access | Times Cited: 64
Analysis of the Ultrasonic Signal in Polymeric Contaminated Insulators Through Ensemble Learning Methods
Stéfano Frizzo Stefenon, Rafael Bruns, Andreza Sartori, et al.
IEEE Access (2022) Vol. 10, pp. 33980-33991
Open Access | Times Cited: 49
Forecasting the non-renewable energy consumption by an adjacent accumulation grey model
Hongying Zhao, Lifeng Wu
Journal of Cleaner Production (2020) Vol. 275, pp. 124113-124113
Closed Access | Times Cited: 65
Forecast of electricity consumption in the Cameroonian residential sector by Grey and vector autoregressive models
Serge Guefano, Jean Gaston Tamba, Tchitile Emmanuel Wilfried Azong, et al.
Energy (2020) Vol. 214, pp. 118791-118791
Closed Access | Times Cited: 64
Analyzing Crude Oil Prices under the Impact of COVID-19 by Using LSTARGARCHLSTM
Melike Bildirici, Nilgün Güler Bayazıt, Yasemen Uçan
Energies (2020) Vol. 13, Iss. 11, pp. 2980-2980
Open Access | Times Cited: 61
Image surface texture analysis and classification using deep learning
Akarsh Aggarwal, Manoj Kumar
Multimedia Tools and Applications (2020) Vol. 80, Iss. 1, pp. 1289-1309
Closed Access | Times Cited: 57
Intrusion Detection Systems, Issues, Challenges, and Needs
Mohammad Aljanabi, Mohd Arfian Ismail, Ahmed Hussein Ali
International Journal of Computational Intelligence Systems (2021) Vol. 14, Iss. 1, pp. 560-560
Open Access | Times Cited: 52
Regression modeling for enterprise electricity consumption: A comparison of recurrent neural network and its variants
Yun Bai, Jingjing Xie, Chao Liu, et al.
International Journal of Electrical Power & Energy Systems (2020) Vol. 126, pp. 106612-106612
Closed Access | Times Cited: 51
Predicting the recurrence of breast cancer using machine learning algorithms
Amal Alzu’bi, Hassan Najadat, Wesam Doulat, et al.
Multimedia Tools and Applications (2021) Vol. 80, Iss. 9, pp. 13787-13800
Closed Access | Times Cited: 48
Electric load prediction based on a novel combined interval forecasting system
Jianzhou Wang, Jialu Gao, Danxiang Wei
Applied Energy (2022) Vol. 322, pp. 119420-119420
Closed Access | Times Cited: 29
A new intelligent hybrid forecasting method for power load considering uncertainty
Guo‐Feng Fan, Ying-Ying Han, Jingjing Wang, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 111034-111034
Closed Access | Times Cited: 20
Scenario analysis of transportation carbon emissions in China based on machine learning and deep neural network models
Jianxin Tang, Gong Ri-zhao, Huilin Wang, et al.
Environmental Research Letters (2023) Vol. 18, Iss. 6, pp. 064018-064018
Open Access | Times Cited: 19
Application of Metaheuristic Algorithms with Supervised Machine Learning for Accurate Power Consumption Prediction
Mengxia Wang, Chaoyang Zhu, Yunxiang Zhang, et al.
Cognitive Computation (2025) Vol. 17, Iss. 1
Closed Access
A comparative study of statistical and soft computing techniques for reliability prediction of automotive manufacturing
Hamzeh Soltanali, Abbas Rohani, Mohammad Hossein Abbaspour‐Fard, et al.
Applied Soft Computing (2020) Vol. 98, pp. 106738-106738
Closed Access | Times Cited: 44
A feature extraction- and ranking-based framework for electricity spot price forecasting using a hybrid deep neural network
Zhen Shao, Qingru Zheng, Chen Liu, et al.
Electric Power Systems Research (2021) Vol. 200, pp. 107453-107453
Closed Access | Times Cited: 36
Structural damage identification in thin-shell structures using a new technique combining finite element model updating and improved Cuckoo search algorithm
Hoang-Le Minh, Thanh Sang-To, Magd Abdel Wahab, et al.
Advances in Engineering Software (2022) Vol. 173, pp. 103206-103206
Closed Access | Times Cited: 25
Page 1 - Next Page

Scroll to top