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.

Requested Article:

A novel hybrid model to forecast seasonal and chaotic time series
Hossein Abbasimehr, Amirreza Behboodi, Aram Bahrini
Expert Systems with Applications (2023) Vol. 239, pp. 122461-122461
Closed Access | Times Cited: 14

Showing 14 citing articles:

Enhanced load forecasting for distributed multi-energy system: A stacking ensemble learning method with deep reinforcement learning and model fusion
Xiaoxiao Ren, Xin Tian, Kai Wang, et al.
Energy (2025), pp. 135031-135031
Closed Access | Times Cited: 1

Financial Time Series Forecasting: A Comprehensive Review of Signal Processing and Optimization-Driven Intelligent Models
Matoori Praveen, Satish Dekka, Sai Dai, et al.
Computational Economics (2025)
Closed Access

Enhancing decomposition-based hybrid models for forecasting multivariate and multi-source time series by federated transfer learning
Yonghou He, Li Tao, Zili Zhang
Expert Systems with Applications (2025), pp. 127725-127725
Closed Access

Data-driven online prediction and control method for injection molding product quality
Youkang Cheng, Hongfei Zhan, Junhe Yu, et al.
Journal of Manufacturing Processes (2025) Vol. 145, pp. 252-273
Closed Access

A Random Forest-Convolutional Neural Network Deep Learning Model for Predicting the Wholesale Price Index of Potato in India
Soumik Ray, Tufleuddin Biswas, Walid Emam, et al.
Potato Research (2024)
Closed Access | Times Cited: 3

A hybrid deep recurrent artificial neural network with a simple exponential smoothing feedback mechanism
Özlem Karahasan, Eren Baş, Erol Eğrioğlu
Information Sciences (2024) Vol. 686, pp. 121356-121356
Closed Access | Times Cited: 1

ADMNet: An adaptive downsampling multi-frequency multi-channel network for long-term time series forecasting
Ling Yuan, Hua Wang, Fan Zhang
Expert Systems with Applications (2024), pp. 125588-125588
Closed Access | Times Cited: 1

Detection of Weak Pulse Signal in Chaotic Noise - Based on Att-CNN-LSTM model
Xinyu Shen, Shengli Zhao, Feng Liu, et al.
Research Square (Research Square) (2024)
Open Access

Dealing with Anomalies in Day-Ahead Market Prediction Using Machine Learning Hybrid Model
Karol Pilot, Alicja Ganczarek-Gamrot, Krzysztof Kania
Energies (2024) Vol. 17, Iss. 17, pp. 4436-4436
Open Access

Multivariate Long Sequence Time Series Forecasting Based on Robust Spatiotemporal Attention
Dandan Zhang, Zhiqiang Zhang, Yun Wang
2022 International Joint Conference on Neural Networks (IJCNN) (2024), pp. 1-8
Closed Access

The Research on Pricing and Replenishment Optimization of Fresh Supermarket Vegetable Products based on Sales Data
Jintao Yang, Zhuo Liu, Shuo Huang, et al.
Transactions on Economics Business and Management Research (2023) Vol. 3, pp. 64-71
Open Access

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