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:

A novel stock indices hybrid forecasting system based on features extraction and multi-objective optimizer
Xuerui Wang, Xiangyu Li, Shaoting Li
Applied Intelligence (2022) Vol. 52, Iss. 10, pp. 11784-11807
Closed Access | Times Cited: 9

Showing 9 citing articles:

A deep learning integrated framework for predicting stock index price and fluctuation via singular spectrum analysis and particle swarm optimization
Chia‐Hung Wang, Jinchen Yuan, Yingping Zeng, et al.
Applied Intelligence (2024) Vol. 54, Iss. 2, pp. 1770-1797
Closed Access | Times Cited: 11
Point and interval forecasting system for crude oil price based on complete ensemble extreme-point symmetric mode decomposition with adaptive noise and intelligent optimization algorithm
Xuerui Wang, Xiangyu Li, Shaoting Li
Applied Energy (2022) Vol. 328, pp. 120194-120194
Closed Access | Times Cited: 24
Study on field strength prediction using different models on time series from urban continuous RF-EMF monitoring
Xinwei Song, Wenjun Feng, Chen Yang, et al.
Expert Systems with Applications (2025), pp. 126963-126963
Closed Access
Assessment of loss of life caused by dam failure based on fuzzy theory and hybrid random forest model
Qiaogang Yin, Yanlong Li, Ye Zhang, et al.
Stochastic Environmental Research and Risk Assessment (2024) Vol. 38, Iss. 9, pp. 3619-3637
Closed Access | Times Cited: 1
A Collective Intelligence to Predict Stock Market Indices Applying an Optimized Hybrid Ensemble Learning Model
Zakia Zouaghia, Zahra Kodia, Lamjed Ben Saïd
Lecture notes in computer science (2024), pp. 68-80
Closed Access | Times Cited: 1
A Hybrid Prediction Model for Pumping Well System Efficiency Based on Stacking Integration Strategy
Biao Ma, Shimin Dong
International Journal of Energy Research (2024) Vol. 2024, Iss. 1
Open Access | Times Cited: 1
A novel hybrid efficiency prediction model for pumping well system based on MDS–SSA–GNN
Biao Ma, Shimin Dong
Energy Science & Engineering (2024) Vol. 12, Iss. 8, pp. 3272-3288
Open Access
Probability density prediction for carbon allowance prices based on TS2Vec and distribution Transformer
Xuerui Wang, Lin Wang, Wuyue An
Energy Economics (2024), pp. 107986-107986
Closed Access
Stock index prediction based on multi-time scale learning with multi-graph attention networks
Yuxia Liu, Qi Zhang, Tianguang Chu
Applied Intelligence (2022) Vol. 53, Iss. 12, pp. 16263-16274
Closed Access | Times Cited: 2
Page 1

Scroll to top