Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

NHITS: Neural Hierarchical Interpolation for Time Series Forecasting
Cristian Challú, Kin G. Olivares, Boris N. Oreshkin, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 6, pp. 6989-6997
Open Access | Times Cited: 211

Showing 1-25 of 211 citing articles:

Long sequence time-series forecasting with deep learning: A survey
Zonglei Chen, Minbo Ma, Tianrui Li, et al.
Information Fusion (2023) Vol. 97, pp. 101819-101819
Closed Access | Times Cited: 99
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis
Zezhi Shao, Fei Wang, Yongjun Xu, et al.
IEEE Transactions on Knowledge and Data Engineering (2024) Vol. 37, Iss. 1, pp. 291-305
Closed Access | Times Cited: 22
Optimizing multi-step wind power forecasting: Integrating advanced deep neural networks with stacking-based probabilistic learning
Lucas de Azevedo Takara, Ana Clara Teixeira, Hamed Yazdanpanah, et al.
Applied Energy (2024) Vol. 369, pp. 123487-123487
Closed Access | Times Cited: 18
A lightweight multi-layer perceptron for efficient multivariate time series forecasting
Zhenghong Wang, Sijie Ruan, Tianqiang Huang, et al.
Knowledge-Based Systems (2024) Vol. 288, pp. 111463-111463
Closed Access | Times Cited: 15
FECAM: Frequency enhanced channel attention mechanism for time series forecasting
Maowei Jiang, Pengyu Zeng, Kai Wang, et al.
Advanced Engineering Informatics (2023) Vol. 58, pp. 102158-102158
Open Access | Times Cited: 34
Interpretable weather forecasting for worldwide stations with a unified deep model
Haixu Wu, Hang Zhou, Mingsheng Long, et al.
Nature Machine Intelligence (2023) Vol. 5, Iss. 6, pp. 602-611
Closed Access | Times Cited: 30
Population-Specific Glucose Prediction in Diabetes Care With Transformer-Based Deep Learning on the Edge
Taiyu Zhu, Lei Kuang, Chengzhe Piao, et al.
IEEE Transactions on Biomedical Circuits and Systems (2024) Vol. 18, Iss. 2, pp. 236-246
Open Access | Times Cited: 13
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
Xiangfei Qiu, Jilin Hu, Lekui Zhou, et al.
Proceedings of the VLDB Endowment (2024) Vol. 17, Iss. 9, pp. 2363-2377
Open Access | Times Cited: 13
Powering Electricity Forecasting with Transfer Learning
Firuz Kamalov, Hana Sulieman, Sherif Moussa, et al.
Energies (2024) Vol. 17, Iss. 3, pp. 626-626
Open Access | Times Cited: 10
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: 8
Ensemble of temporal Transformers for financial time series
Kenniy Olorunnimbe, Herna L. Viktor
Journal of Intelligent Information Systems (2024) Vol. 62, Iss. 4, pp. 1087-1111
Closed Access | Times Cited: 7
GBT: Two-stage transformer framework for non-stationary time series forecasting
Li Shen, Yuning Wei, Yangzhu Wang
Neural Networks (2023) Vol. 165, pp. 953-970
Open Access | Times Cited: 20
VGC-GAN: A multi-graph convolution adversarial network for stock price prediction
Dongbo Ma, Yuan Da, Maojun Huang, et al.
Expert Systems with Applications (2023) Vol. 236, pp. 121204-121204
Closed Access | Times Cited: 20
Time Series Prediction in Industry 4.0: A Comprehensive Review and Prospects for Future Advancements
Nataliia Kashpruk, C. Piskor-Ignatowicz, Jerzy Baranowski
Applied Sciences (2023) Vol. 13, Iss. 22, pp. 12374-12374
Open Access | Times Cited: 17
A Joint Time-Frequency Domain Transformer for multivariate time series forecasting
Yushu Chen, Shengzhuo Liu, Jinzhe Yang, et al.
Neural Networks (2024) Vol. 176, pp. 106334-106334
Open Access | Times Cited: 6
Temporal Saliency Detection Towards Explainable Transformer-Based Timeseries Forecasting
Nghia Duong‐Trung, Duc-Manh Nguyen, Danh Le-Phuoc
Communications in computer and information science (2024), pp. 250-268
Closed Access | Times Cited: 5
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting
Xiang Ma, Xuemei Li, L. Z. Fang, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 13, pp. 14255-14262
Open Access | Times Cited: 5
A machine learning model using the snapshot ensemble approach for soil respiration prediction in an experimental Oak Forest
Syeda Nyma Ferdous, Jayendra P. Ahire, Richard Bergman, et al.
Ecological Informatics (2025) Vol. 85, pp. 102991-102991
Open Access
Time-series Forecasting in Industrial Environments: A Performance Study and a Novel Late Fusion Framework
Dimitrios Oikonomou, Lampros Leontaris, Nikolaos Dimitriou, et al.
IEEE Sensors Journal (2025) Vol. 25, Iss. 4, pp. 7681-7697
Open Access
ARGfore: A multivariate framework for forecasting antibiotic resistance gene abundances using time-series metagenomic datasets
Joung Min Choi, Monjura Afrin Rumi, Peter J. Vikesland, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access
Transformer-based probabilistic forecasting of daily hotel demand using web search behaviour
Cristof Rojas, Adam Jatowt
Knowledge-Based Systems (2025), pp. 112966-112966
Closed Access
MDWConv:CNN based on multi-scale atrous pyramid and depthwise separable convolution for long time series forecasting
Guangpo Tian, Yongli Xu, Xiang Ma, et al.
Neural Networks (2025) Vol. 185, pp. 107139-107139
Closed Access
MFFCNN: multi-scale fractional Fourier transform convolutional neural network for multivariate time series forecasting
Weishi Chen, Junjie Ye, Chunna Zhao, et al.
The Journal of Supercomputing (2025) Vol. 81, Iss. 2
Closed Access
Forecasting with Deep Learning: Beyond Average of Average of Average Performance
Vítor Cerqueira, Luís A. C. Roque, Carlos Soares
Lecture notes in computer science (2025), pp. 135-149
Closed Access
Fine-tuning enables state of health estimation in lithium-ion batteries via time series foundation model
Wenjie Sun, Chengke Wu, Chengde Xie, et al.
Energy (2025), pp. 134177-134177
Closed Access
Page 1 - Next Page

Scroll to top