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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:

A relationship-aligned transfer learning algorithm for time series forecasting
Rui Ye, Qun Dai
Information Sciences (2022) Vol. 593, pp. 17-34
Closed Access | Times Cited: 27

Showing 1-25 of 27 citing articles:

TLT: Recurrent fine-tuning transfer learning for water quality long-term prediction
Peng Lin, Huan Wu, Min Gao, et al.
Water Research (2022) Vol. 225, pp. 119171-119171
Closed Access | Times Cited: 50
Short-term load forecasting based on WM algorithm and transfer learning model
Nan Wei, Chuang Yin, Lihua Yin, et al.
Applied Energy (2023) Vol. 353, pp. 122087-122087
Closed Access | Times Cited: 38
A time series attention mechanism based model for tourism demand forecasting
Yunxuan Dong, Ling Xiao, Jiasheng Wang, et al.
Information Sciences (2023) Vol. 628, pp. 269-290
Closed Access | Times Cited: 26
Intuitionistic fuzzy time series forecasting method for non-stationary time series data with suitable number of clusters and different window size for fuzzy rule generation
Ankit Dixit, Shikha Jain
Information Sciences (2022) Vol. 623, pp. 132-145
Closed Access | Times Cited: 24
MrCAN: Multi-relations aware convolutional attention network for multivariate time series forecasting
Jing Zhang, Qun Dai
Information Sciences (2023) Vol. 643, pp. 119277-119277
Closed Access | Times Cited: 12
A dynamic multi-model transfer based short-term load forecasting
Ling Xiao, Qinyi Bai, Binglin Wang
Applied Soft Computing (2024) Vol. 159, pp. 111627-111627
Closed Access | Times Cited: 4
A Multi-objective transfer learning framework for time series forecasting with Concept Echo State Networks
Yingqin Zhu, Wen Yu, Xiaoou Li
Neural Networks (2025) Vol. 186, pp. 107272-107272
Open Access
Optimizing inventory control through a data-driven and model-independent framework
Evangelos Theodorou, Evangelos Spiliotis, Vassilios Assimakopoulos
EURO Journal on Transportation and Logistics (2022) Vol. 12, pp. 100103-100103
Open Access | Times Cited: 16
A novel unsupervised framework for time series data anomaly detection via spectrum decomposition
Tianyang Lei, Chang Gong, Gang Chen, et al.
Knowledge-Based Systems (2023) Vol. 280, pp. 111002-111002
Open Access | Times Cited: 9
Predicting time series by data-driven spatiotemporal information transformation
Peng Tao, Xiaohu Hao, Jie Cheng, et al.
Information Sciences (2022) Vol. 622, pp. 859-872
Open Access | Times Cited: 9
Attentive recurrent adversarial domain adaptation with Top-k pseudo-labeling for time series classification
Qi-Qiao He, Shirley W. I. Siu, Yain‐Whar Si
Applied Intelligence (2022) Vol. 53, Iss. 11, pp. 13110-13129
Closed Access | Times Cited: 8
A Gramian angular field-based data-driven approach for multiregion and multisource renewable scenario generation
Yifei Wu, Bo Wang, Ran Yuan, et al.
Information Sciences (2022) Vol. 619, pp. 578-602
Closed Access | Times Cited: 8
A Data-Efficient Building Electricity Load Forecasting Method Based on Maximum Mean Discrepancy and Improved TrAdaBoost Algorithm
Kangji Li, Borui Wei, Qianqian Tang, et al.
Energies (2022) Vol. 15, Iss. 23, pp. 8780-8780
Open Access | Times Cited: 8
A novel deep transfer learning framework with adversarial domain adaptation: application to financial time-series forecasting
Dabin Zhang, Ruibin Lin, Tingting Wei, et al.
Neural Computing and Applications (2023) Vol. 35, Iss. 34, pp. 24037-24054
Closed Access | Times Cited: 4
A Review of Deep Transfer Learning Strategy for Energy Forecasting
S. Sankari, P. Senthil Kumar
Nature Environment and Pollution Technology (2023) Vol. 22, Iss. 4, pp. 1781-1793
Open Access | Times Cited: 4
Personalized Recommendation of English Chinese Translation Teaching Information Resources Based on Transfer Learning
Wang Wei, Wei Guan
(2024), pp. 140-156
Closed Access | Times Cited: 1
A shared multi-scale lightweight convolution generative network for few-shot multivariate time series forecasting
Minglan Zhang, Linfu Sun, Jing Yang, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112420-112420
Closed Access | Times Cited: 1
A wind power prediction model based on optimized N-BEATS network with multivariate inputs
Jun Li, Tao Lin, Hui Du, et al.
2021 IEEE Power & Energy Society General Meeting (PESGM) (2023), pp. 1-5
Closed Access | Times Cited: 2
Assessing the Performance of Deep Learning Algorithms With and Without Transfer Learning in Similar or Identical Wastewater Treatment Processes
Jaeil Kim, Sang-Ik Suh, Yongtae Ahn, et al.
Journal of Korean Society of Environmental Engineers (2024) Vol. 46, Iss. 3, pp. 111-117
Open Access
Short-term Load Forecasting using Partial Adversarial Adaptation
Zeju Ma, Jun Zhou, Yuping Shu, et al.
(2024) Vol. 34, pp. 250-254
Closed Access
Financial Market Volatility Forecasting Based on Domain Adaptation
Qiao Pan, Feifan Zhao, Dehua Chen
2022 International Joint Conference on Neural Networks (IJCNN) (2024) Vol. 266, pp. 1-8
Closed Access
Many-to-many: Domain adaptation for water quality prediction
Si Wang, Min Gao, Huan Wu, et al.
Applied Soft Computing (2024) Vol. 167, pp. 112381-112381
Closed Access
Limited Data Availability in Building Energy Consumption Prediction: A Low-Rank Transfer Learning with Attention-Enhanced Temporal Convolution Network
Bo Wang, Qiming Fu, Jianping Chen, et al.
(2024)
Closed Access
Short-term residential load forecasting via transfer learning and multi-attention fusion for EVs’ coordinated charging
Shuhua Gao, Yuanbin Liu, Jing Wang, et al.
International Journal of Electrical Power & Energy Systems (2024) Vol. 164, pp. 110349-110349
Closed Access
Mixed contrastive transfer learning for few-shot workload prediction in the cloud
Zibo Zuo, Ying-Wen Huang, Zhenghui Li, et al.
Computing (2024) Vol. 107, Iss. 1
Closed Access
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