
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:
Bayesian network based probabilistic weighted high-order fuzzy time series forecasting
Bo Wang, Xiaodong Liu, Ming Chi, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121430-121430
Closed Access | Times Cited: 9
Bo Wang, Xiaodong Liu, Ming Chi, et al.
Expert Systems with Applications (2023) Vol. 237, pp. 121430-121430
Closed Access | Times Cited: 9
Showing 9 citing articles:
Integration of MIMAH and Fuzzy Bayesian Networks for risk analysis in chemical tanker loading operations
Cenk Ay
Journal of Marine Engineering & Technology (2025), pp. 1-19
Closed Access | Times Cited: 1
Cenk Ay
Journal of Marine Engineering & Technology (2025), pp. 1-19
Closed Access | Times Cited: 1
An intelligent interval forecasting system based on fuzzy time series and error distribution characteristics for air quality index
Hufang Yang, Yuyang Gao, Fusen Zhao, et al.
Environmental Research (2024) Vol. 251, pp. 118577-118577
Closed Access | Times Cited: 5
Hufang Yang, Yuyang Gao, Fusen Zhao, et al.
Environmental Research (2024) Vol. 251, pp. 118577-118577
Closed Access | Times Cited: 5
Fuzzy-Probabilistic Time Series Forecasting Combining Bayesian Network and Fuzzy Time Series Model
Bo Wang, Xiaodong Liu
Symmetry (2025) Vol. 17, Iss. 2, pp. 275-275
Open Access
Bo Wang, Xiaodong Liu
Symmetry (2025) Vol. 17, Iss. 2, pp. 275-275
Open Access
Adaptive Non-Stationary Fuzzy Time Series Forecasting with Bayesian Networks
Bo Wang, Xiaodong Liu
Sensors (2025) Vol. 25, Iss. 5, pp. 1628-1628
Open Access
Bo Wang, Xiaodong Liu
Sensors (2025) Vol. 25, Iss. 5, pp. 1628-1628
Open Access
A novel heat load prediction algorithm based on fuzzy C-mean clustering and mixed positional encoding informer
Jiancai Song, Kangning Wang, Tianxiang Bian, et al.
Applied Energy (2025) Vol. 388, pp. 125709-125709
Closed Access
Jiancai Song, Kangning Wang, Tianxiang Bian, et al.
Applied Energy (2025) Vol. 388, pp. 125709-125709
Closed Access
A Hybrid Model Based on CEEMDAN-GRU and Error Compensation for Predicting Sunspot Numbers
Jianzhong Yang, Song Liu, Shili Xuan, et al.
Electronics (2024) Vol. 13, Iss. 10, pp. 1904-1904
Open Access | Times Cited: 3
Jianzhong Yang, Song Liu, Shili Xuan, et al.
Electronics (2024) Vol. 13, Iss. 10, pp. 1904-1904
Open Access | Times Cited: 3
PMformer: A Novel Informer-based Model for Accurate Long-Term Time Series Prediction
Yuewei Xue, Shaopeng Guan, Wanhai Jia
Information Sciences (2024), pp. 121586-121586
Closed Access | Times Cited: 1
Yuewei Xue, Shaopeng Guan, Wanhai Jia
Information Sciences (2024), pp. 121586-121586
Closed Access | Times Cited: 1
VWFTS-PSO: a novel method for time series forecasting using variational weighted fuzzy time series and particle swarm optimization
Ganesh Didugu, Manoranjan Gandhudi, P. J. A. Alphonse, et al.
International Journal of General Systems (2024), pp. 1-20
Closed Access | Times Cited: 1
Ganesh Didugu, Manoranjan Gandhudi, P. J. A. Alphonse, et al.
International Journal of General Systems (2024), pp. 1-20
Closed Access | Times Cited: 1
Fuzzy Time Series Forecasting Using High-Order Interval Ratios and Frequency Density
Etna Vianita, Adi Wibowo, Eko Adi Sarwoko
(2024), pp. 474-478
Closed Access
Etna Vianita, Adi Wibowo, Eko Adi Sarwoko
(2024), pp. 474-478
Closed Access
Uncertainty Quantification Method for Trend Prediction of Oil Well Time Series Data Based on SDMI Loss Function
Yun Shen, Xiang Wang, Yixin Xie, et al.
Processes (2024) Vol. 12, Iss. 12, pp. 2642-2642
Open Access
Yun Shen, Xiang Wang, Yixin Xie, et al.
Processes (2024) Vol. 12, Iss. 12, pp. 2642-2642
Open Access