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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.

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Showing 1-25 of 39 citing articles:

Modeling of district load forecasting for distributed energy system
Weiwu Ma, Song Fang, Gang Liu, et al.
Applied Energy (2017) Vol. 204, pp. 181-205
Closed Access | Times Cited: 111
Optimizing building energy performance predictions: A comparative study of artificial intelligence models
Omer A. Alawi, Haslinda Mohamed Kamar, Zaher Mundher Yaseen‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬‬
Journal of Building Engineering (2024) Vol. 88, pp. 109247-109247
Closed Access | Times Cited: 8
Optimized SVR model for predicting dissolved oxygen levels using wavelet denoising and variable reduction: Taking the Minjiang River estuary as an example
Peng Zhang, Xinyang Liu, Huiru Zhang, et al.
Ecological Informatics (2025) Vol. 86, pp. 103007-103007
Open Access | Times Cited: 1
A new hybrid model to predict the electrical load in five states of Australia
Jinran Wu, Zhesen Cui, Yanyan Chen, et al.
Energy (2018) Vol. 166, pp. 598-609
Open Access | Times Cited: 61
Modeling Energy Demand—A Systematic Literature Review
Paul Verwiebe, Stephan Seim, Simon Burges, et al.
Energies (2021) Vol. 14, Iss. 23, pp. 7859-7859
Open Access | Times Cited: 51
Demand forecasting based machine learning algorithms on customer information: an applied approach
Maryam Zohdi, Majid Rafiee, Vahid Kayvanfar, et al.
International Journal of Information Technology (2022) Vol. 14, Iss. 4, pp. 1937-1947
Closed Access | Times Cited: 36
Data driven insights for parabolic trough solar collectors: Artificial intelligence-based energy and exergy performance analysis
Tao Hai, Omer A. Alawi, Raad Z. Homod, et al.
Journal of Cleaner Production (2024) Vol. 443, pp. 141069-141069
Closed Access | Times Cited: 7
Improved Wavelet Threshold for Image De-noising
Yang Zhang, Weifeng Ding, Zhifang Pan, et al.
Frontiers in Neuroscience (2019) Vol. 13
Open Access | Times Cited: 46
A Hybrid Method Based on Extreme Learning Machine and Wavelet Transform Denoising for Stock Prediction
Dingming Wu, Xiaolong Wang, Shaocong Wu
Entropy (2021) Vol. 23, Iss. 4, pp. 440-440
Open Access | Times Cited: 37
Combination of Machine Learning Algorithms with Concentration-Area Fractal Method for Soil Geochemical Anomaly Detection in Sediment-Hosted Irankuh Pb-Zn Deposit, Central Iran
Sasan Farhadi, Peyman Afzal, Mina Boveiri Konari, et al.
Minerals (2022) Vol. 12, Iss. 6, pp. 689-689
Open Access | Times Cited: 23
A hybrid framework based on extreme learning machine, discrete wavelet transform, and autoencoder with feature penalty for stock prediction
Dingming Wu, Xiaolong Wang, Shaocong Wu
Expert Systems with Applications (2022) Vol. 207, pp. 118006-118006
Open Access | Times Cited: 21
Improved Image Denoising Using Wavelet Edge Detection Based on Otsu's Thresholding
Tuğba Özge Onur
Acta Polytechnica Hungarica (2022) Vol. 19, Iss. 2, pp. 79-92
Open Access | Times Cited: 19
Daily residential heat load prediction based on a hybrid model of signal processing, econometric model, and support vector regression
Guixiang Xue, Yahui Zhang, Shi-ang Yu, et al.
Thermal Science and Engineering Progress (2023) Vol. 43, pp. 102005-102005
Closed Access | Times Cited: 8
Research and Application of a Novel Hybrid Model Based on a Deep Neural Network for Electricity Load Forecasting: A Case Study in Australia
Kailai Ni, Jianzhou Wang, Guangyu Tang, et al.
Energies (2019) Vol. 12, Iss. 13, pp. 2467-2467
Open Access | Times Cited: 24
A New Hybrid Model FPA-SVM Considering Cointegration for Particular Matter Concentration Forecasting: A Case Study of Kunming and Yuxi, China
Weide Li, Demeng Kong, Jinran Wu
Computational Intelligence and Neuroscience (2017) Vol. 2017, pp. 1-11
Open Access | Times Cited: 21
Grid search of multilayer perceptron based on the walk-forward validation methodology
Thanh Tran, Lê Văn Đại, Dang Thi Phuc
International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering (2021) Vol. 11, Iss. 2, pp. 1742-1742
Open Access | Times Cited: 17
Estimating Soil Water Retention Curve by Extreme Learning Machine, Radial Basis Function, M5 Tree and Modified Group Method of Data Handling Approaches
Mostafa Rastgou, Hossein Bayat, Muharram Mansoorizadeh, et al.
Water Resources Research (2022) Vol. 58, Iss. 4
Closed Access | Times Cited: 12
An improved feed-forward neural network based on UKF and strong tracking filtering to establish energy consumption model for aluminum electrolysis process
Lizhong Yao, Taifu Li, Yanyan Li, et al.
Neural Computing and Applications (2018) Vol. 31, Iss. 8, pp. 4271-4285
Closed Access | Times Cited: 18
LOF weighted KNN regression ensemble and its application to a die manufacturing company
Gözde Öngelen, Tülin İnkaya
Sadhana (2023) Vol. 48, Iss. 4
Closed Access | Times Cited: 5
A Novel Approach of Weighted Support Vector Machine with Applied Chance Theory for Forecasting Air Pollution Phenomenon in Egypt
Nabil M. Eldakhly, Magdy Aboul-Ela, Areeg Abdalla
International Journal of Computational Intelligence and Applications (2018) Vol. 17, Iss. 01, pp. 1850001-1850001
Closed Access | Times Cited: 15
Enhancement of a Short-Term Forecasting Method Based on Clustering and kNN: Application to an Industrial Facility Powered by a Cogenerator
Giulio Vialetto, Marco Noro
Energies (2019) Vol. 12, Iss. 23, pp. 4407-4407
Open Access | Times Cited: 15
Using Artificial Intelligence for Predicting Universal Thermal Climate Index Based on Different Urban Conditions: A Comparative Study of Machine Learning Models
Omid Veisi, Alireza Attarhay Tehrani, Beheshteh Gharaei, et al.
(2024)
Closed Access | Times Cited: 1
Support Vector Regression and Artificial Neural Network Approaches: Case of Economic Growth in East Africa Community
Abraham K Lagat
American Journal of Theoretical and Applied Statistics (2018) Vol. 7, Iss. 2, pp. 67-67
Open Access | Times Cited: 12
A multiobjective prediction model with incremental learning ability by developing a multi-source filter neural network for the electrolytic aluminium process
Lizhong Yao, Wei Ding, Tiantian He, et al.
Applied Intelligence (2022) Vol. 52, Iss. 15, pp. 17387-17409
Open Access | Times Cited: 7
Sectoral Energy Demand Forecasting under an Assumption-Free Data-Driven Technique
Bismark Ameyaw, Yao Li
Sustainability (2018) Vol. 10, Iss. 7, pp. 2348-2348
Open Access | Times Cited: 9
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