
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:
Ensemble empirical mode decomposition-based preprocessing method with Multi-LSTM for time series forecasting: a case study for hog prices
Lianlian Fu, Ding Xin-sheng, Yuehui Ding
Connection Science (2022) Vol. 34, Iss. 1, pp. 2177-2200
Open Access | Times Cited: 7
Lianlian Fu, Ding Xin-sheng, Yuehui Ding
Connection Science (2022) Vol. 34, Iss. 1, pp. 2177-2200
Open Access | Times Cited: 7
Showing 7 citing articles:
A multi-feature stock price prediction model based on multi-feature calculation, LASSO feature selection, and Ca-LSTM network
Xiao Dong Chen, Lei Cao, Zhi Cao, et al.
Connection Science (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 6
Xiao Dong Chen, Lei Cao, Zhi Cao, et al.
Connection Science (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 6
A novel data-driven model for explainable hog price forecasting
Binrong Wu, Huanze Zeng, Huanling Hu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Binrong Wu, Huanze Zeng, Huanling Hu, et al.
Applied Intelligence (2025) Vol. 55, Iss. 6
Closed Access
Interval price prediction of livestock product based on fuzzy mathematics and improved LSTM
Weimin Ma, Lingling Peng, Chen Hu, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0318823-e0318823
Open Access
Weimin Ma, Lingling Peng, Chen Hu, et al.
PLoS ONE (2025) Vol. 20, Iss. 2, pp. e0318823-e0318823
Open Access
Monthly Pork Price Prediction Applying Projection Pursuit Regression: Modeling, Empirical Research, Comparison, and Sustainability Implications
Xiaohong Yu, Bin Liu, Yongzeng Lai
Sustainability (2024) Vol. 16, Iss. 4, pp. 1466-1466
Open Access | Times Cited: 3
Xiaohong Yu, Bin Liu, Yongzeng Lai
Sustainability (2024) Vol. 16, Iss. 4, pp. 1466-1466
Open Access | Times Cited: 3
Estimating electricity consumption at city-level through advanced machine learning methods
Árpád Gellért, Lorena-Maria Olaru, Adrian Florea, et al.
Connection Science (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 1
Árpád Gellért, Lorena-Maria Olaru, Adrian Florea, et al.
Connection Science (2024) Vol. 36, Iss. 1
Open Access | Times Cited: 1
Ensemble deep learning techniques for time series analysis: a comprehensive review, applications, open issues, challenges, and future directions
Mohd Sakib, Suhel Mustajab, Mahfooz Alam
Cluster Computing (2024) Vol. 28, Iss. 1
Closed Access | Times Cited: 1
Mohd Sakib, Suhel Mustajab, Mahfooz Alam
Cluster Computing (2024) Vol. 28, Iss. 1
Closed Access | Times Cited: 1
Assessing Performance of the Transformer Model in Predicting Hog Prices
Hui Liu
Deleted Journal (2024) Vol. 20, Iss. 2, pp. 251-257
Open Access
Hui Liu
Deleted Journal (2024) Vol. 20, Iss. 2, pp. 251-257
Open Access