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:
AdaRNN
Yuntao Du, Jindong Wang, Wenjie Feng, et al.
(2021), pp. 402-411
Closed Access | Times Cited: 128
Yuntao Du, Jindong Wang, Wenjie Feng, et al.
(2021), pp. 402-411
Closed Access | Times Cited: 128
Showing 1-25 of 128 citing articles:
Generalizing to Unseen Domains: A Survey on Domain Generalization
Jindong Wang, Cuiling Lan, Chang Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 499
Jindong Wang, Cuiling Lan, Chang Liu, et al.
IEEE Transactions on Knowledge and Data Engineering (2022), pp. 1-1
Open Access | Times Cited: 499
Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey
Guangyin Jin, Yuxuan Liang, Yuchen Fang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 10, pp. 5388-5408
Open Access | Times Cited: 123
Guangyin Jin, Yuxuan Liang, Yuchen Fang, et al.
IEEE Transactions on Knowledge and Data Engineering (2023) Vol. 36, Iss. 10, pp. 5388-5408
Open Access | Times Cited: 123
Forecast evaluation for data scientists: common pitfalls and best practices
Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
Data Mining and Knowledge Discovery (2022) Vol. 37, Iss. 2, pp. 788-832
Open Access | Times Cited: 84
Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
Data Mining and Knowledge Discovery (2022) Vol. 37, Iss. 2, pp. 788-832
Open Access | Times Cited: 84
State of charge estimation for lithium-ion batteries based on cross-domain transfer learning with feedback mechanism
Yongsong Yang, Lijun Zhao, Quanqing Yu, et al.
Journal of Energy Storage (2023) Vol. 70, pp. 108037-108037
Closed Access | Times Cited: 43
Yongsong Yang, Lijun Zhao, Quanqing Yu, et al.
Journal of Energy Storage (2023) Vol. 70, pp. 108037-108037
Closed Access | Times Cited: 43
Foundation Models for Time Series Analysis: A Tutorial and Survey
Yuxuan Liang, Haomin Wen, Yuqi Nie, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6555-6565
Open Access | Times Cited: 23
Yuxuan Liang, Haomin Wen, Yuqi Nie, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2024), pp. 6555-6565
Open Access | Times Cited: 23
Deep Learning for Time Series Forecasting: Advances and Open Problems
Angelo Casolaro, Vincenzo Capone, Gennaro Iannuzzo, et al.
Information (2023) Vol. 14, Iss. 11, pp. 598-598
Open Access | Times Cited: 38
Angelo Casolaro, Vincenzo Capone, Gennaro Iannuzzo, et al.
Information (2023) Vol. 14, Iss. 11, pp. 598-598
Open Access | Times Cited: 38
Forecasting movements of stock time series based on hidden state guided deep learning approach
Junji Jiang, Likang Wu, Hongke Zhao, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103328-103328
Closed Access | Times Cited: 27
Junji Jiang, Likang Wu, Hongke Zhao, et al.
Information Processing & Management (2023) Vol. 60, Iss. 3, pp. 103328-103328
Closed Access | Times Cited: 27
Neural network-based parametric system identification: a review
Aoxiang Dong, Andrew Starr, Yifan Zhao
International Journal of Systems Science (2023) Vol. 54, Iss. 13, pp. 2676-2688
Open Access | Times Cited: 26
Aoxiang Dong, Andrew Starr, Yifan Zhao
International Journal of Systems Science (2023) Vol. 54, Iss. 13, pp. 2676-2688
Open Access | Times Cited: 26
A Survey on Time-Series Pre-Trained Models
Qianli Ma, Zhen Liu, Zhenjing Zheng, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 7536-7555
Open Access | Times Cited: 12
Qianli Ma, Zhen Liu, Zhenjing Zheng, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 36, Iss. 12, pp. 7536-7555
Open Access | Times Cited: 12
Deep Time Series Forecasting Models: A Comprehensive Survey
Xinhe Liu, Wenmin Wang
Mathematics (2024) Vol. 12, Iss. 10, pp. 1504-1504
Open Access | Times Cited: 10
Xinhe Liu, Wenmin Wang
Mathematics (2024) Vol. 12, Iss. 10, pp. 1504-1504
Open Access | Times Cited: 10
Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer
Bin Lü, Xiaoying Gan, Weinan Zhang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 1162-1172
Open Access | Times Cited: 33
Bin Lü, Xiaoying Gan, Weinan Zhang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022), pp. 1162-1172
Open Access | Times Cited: 33
Machinery cross domain degradation prognostics considering compound domain shifts
Peng Ding, Xiaoli Zhao, Haidong Shao, et al.
Reliability Engineering & System Safety (2023) Vol. 239, pp. 109490-109490
Closed Access | Times Cited: 16
Peng Ding, Xiaoli Zhao, Haidong Shao, et al.
Reliability Engineering & System Safety (2023) Vol. 239, pp. 109490-109490
Closed Access | Times Cited: 16
Addressing the Non-Stationarity and Complexity of Time Series Data for Long-Term Forecasts
Ranjai Baidya, Sang-Woong Lee
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4436-4436
Open Access | Times Cited: 6
Ranjai Baidya, Sang-Woong Lee
Applied Sciences (2024) Vol. 14, Iss. 11, pp. 4436-4436
Open Access | Times Cited: 6
Domain generalization through meta-learning: a survey
Arsham Gholamzadeh Khoee, Yinan Yu, Robert Feldt
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 6
Arsham Gholamzadeh Khoee, Yinan Yu, Robert Feldt
Artificial Intelligence Review (2024) Vol. 57, Iss. 10
Open Access | Times Cited: 6
Transfer learning-based nonstationary traffic flow prediction using AdaRNN and DCORAL
Linlin Zang, Tao Wang, Bo Zhang, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125143-125143
Closed Access | Times Cited: 5
Linlin Zang, Tao Wang, Bo Zhang, et al.
Expert Systems with Applications (2024) Vol. 258, pp. 125143-125143
Closed Access | Times Cited: 5
An Improved iTransformer with RevIN and SSA for Greenhouse Soil Temperature Prediction
Fahai Wang, Yiqun Wang, Wenbai Chen, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 223-223
Open Access
Fahai Wang, Yiqun Wang, Wenbai Chen, et al.
Agronomy (2025) Vol. 15, Iss. 1, pp. 223-223
Open Access
A temporal domain generalization method for PM concentration prediction based on adversarial training and deep variational information bottleneck
Miaoxuan Shan, Chunlin Ye, Peng Chen, et al.
Atmospheric Pollution Research (2025), pp. 102472-102472
Closed Access
Miaoxuan Shan, Chunlin Ye, Peng Chen, et al.
Atmospheric Pollution Research (2025), pp. 102472-102472
Closed Access
Causal invariant geographic network representations with feature and structural distribution shifts
Yuhan Wang, Silu He, Qinyao Luo, et al.
Future Generation Computer Systems (2025), pp. 107814-107814
Closed Access
Yuhan Wang, Silu He, Qinyao Luo, et al.
Future Generation Computer Systems (2025), pp. 107814-107814
Closed Access
Intelligent dual-stage attention-based deep networks for energy market predictions
Shian-Chang Huang, Cheng-Feng Wu, Kuan-Chieh Chen, et al.
Alexandria Engineering Journal (2025) Vol. 122, pp. 625-644
Closed Access
Shian-Chang Huang, Cheng-Feng Wu, Kuan-Chieh Chen, et al.
Alexandria Engineering Journal (2025) Vol. 122, pp. 625-644
Closed Access
State-of-charge estimation for batteries based on temporal distribution characterization and matching transfer learning framework
Haiming Xu, Tianjian Yu, Shu Cheng, et al.
Journal of Energy Storage (2025) Vol. 118, pp. 116198-116198
Open Access
Haiming Xu, Tianjian Yu, Shu Cheng, et al.
Journal of Energy Storage (2025) Vol. 118, pp. 116198-116198
Open Access
New RUL Prediction Method for Rotating Machinery via Data Feature Distribution and Spatial Attention Residual Network
Weiyang Xu, Quan Jiang, Yehu Shen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-9
Closed Access | Times Cited: 15
Weiyang Xu, Quan Jiang, Yehu Shen, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-9
Closed Access | Times Cited: 15
Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning
Zhengyang Zhou, Qihe Huang, Kuo Yang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 3603-3614
Closed Access | Times Cited: 14
Zhengyang Zhou, Qihe Huang, Kuo Yang, et al.
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2023), pp. 3603-3614
Closed Access | Times Cited: 14
An Efficient Sequential Embedding ConvNet for Rotating Machinery Intelligent Fault Diagnosis
Jian Tang, Qǐháng Wú, Xiaobo Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 13
Jian Tang, Qǐháng Wú, Xiaobo Li, et al.
IEEE Transactions on Instrumentation and Measurement (2023) Vol. 72, pp. 1-13
Closed Access | Times Cited: 13
A deep transfer learning model for the deformation of braced excavations with limited monitoring data
Yuanqin Tao, Shaoxiang Zeng, Tiantian Ying, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 4
Yuanqin Tao, Shaoxiang Zeng, Tiantian Ying, et al.
Journal of Rock Mechanics and Geotechnical Engineering (2024)
Open Access | Times Cited: 4
Model-free Adjustment of Reducing Agent for SCR Device Under Label Deficiency: Regulation-oriented Stage-wise Reward Deep Q-learning with Transfer-learned State
Han Jiang, Shucai Zhang, Jingru Liu, et al.
Process Safety and Environmental Protection (2025) Vol. 195, pp. 106745-106745
Closed Access
Han Jiang, Shucai Zhang, Jingru Liu, et al.
Process Safety and Environmental Protection (2025) Vol. 195, pp. 106745-106745
Closed Access
