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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.

Requested Article:

MTS-LSTDM: Multi-Time-Scale Long Short-Term Double Memory for power load forecasting
Yiwei Lou, Yu Huang, Xuliang Xing, et al.
Journal of Systems Architecture (2022) Vol. 125, pp. 102443-102443
Closed Access | Times Cited: 13

Showing 13 citing articles:

A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis
Rongchao Zhang, Yiwei Lou, Dexuan Xu, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 15, pp. 16803-16811
Open Access | Times Cited: 1
Generative Pretrained Hierarchical Transformer for Time Series Forecasting
Zhiding Liu, Jiqian Yang, Mingyue Cheng, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 2003-2013
Closed Access | Times Cited: 1
Spatial–temporal information model-based load current interval prediction for transmission lines
Zhengganzhe Chen, Bin Zhang, Anbo Meng, et al.
International Journal of Electrical Power & Energy Systems (2023) Vol. 151, pp. 109137-109137
Closed Access | Times Cited: 4
Radiology Report Generation via Structured Knowledge-Enhanced Multi-modal Attention and Contrastive Learning
Dexuan Xu, Yanyuan Chen, Jiayu Zhang, et al.
2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2023)
Closed Access | Times Cited: 4
A novel gated dual convolutional neural network model with autoregressive method and attention mechanism for probabilistic load forecasting
Yilei Qiu, Shunzhen Wang, Shuai Zhang, et al.
Applied Intelligence (2023) Vol. 53, Iss. 17, pp. 20256-20271
Closed Access | Times Cited: 3
Power load prediction of smart grid based on deep learning
Siyu Xiang, Zhen Cao, Jian Peng, et al.
Procedia Computer Science (2023) Vol. 228, pp. 762-773
Open Access | Times Cited: 3
Refining the Unseen: Self-supervised Two-stream Feature Extraction for Image Quality Assessment
Yiwei Lou, Yanyuan Chen, Dexuan Xu, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2023), pp. 1193-1198
Closed Access | Times Cited: 2
Long-term load forecasting based on cyclic neural network and nonlinear relationship
Zhuolin Chen, Ying Shi, Yuanchun Tang
(2024), pp. 1148-1151
Closed Access
SG-CIM Model Verification and Validation Framework in Business Middle Platform
Jun Lv, Lei Chen, Guangxian Lv, et al.
(2023), pp. 170-175
Closed Access
A Flexible Framework of General Clinical Data Quality Control System
Yandong Yan, Zhengmin Gu, Yiwei Lou, et al.
(2023), pp. 290-295
Closed Access
Text Classification Algorithm for Medical Adverse Events Based on Deep Learning
Yandong Yan, Hao Wang, Jiayu Zhang, et al.
(2023), pp. 235-244
Closed Access
Design of Power Grid Load Change Forecasting Algorithm Based on Long Short-Term Memory
Zekun Yang, Qiufen Yang
(2023), pp. 578-582
Closed Access
Station-level Demand Prediction for Bike-sharing Based on Multi-spatio-temporal Scale Features
Liming Jiang, Li Yang, Shaomiao Chen, et al.
(2022), pp. 1625-1630
Closed Access
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