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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:

TS-CHIEF: a scalable and accurate forest algorithm for time series classification
Ahmed Shifaz, Charlotte Pelletier, François Petitjean, et al.
Data Mining and Knowledge Discovery (2020) Vol. 34, Iss. 3, pp. 742-775
Open Access | Times Cited: 184

Showing 1-25 of 184 citing articles:

ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels
Angus Dempster, François Petitjean, Geoffrey I. Webb
Data Mining and Knowledge Discovery (2020) Vol. 34, Iss. 5, pp. 1454-1495
Open Access | Times Cited: 681
HIVE-COTE 2.0: a new meta ensemble for time series classification
Matthew Middlehurst, James Large, Michael Flynn, et al.
Machine Learning (2021) Vol. 110, Iss. 11-12, pp. 3211-3243
Open Access | Times Cited: 194
MultiRocket: multiple pooling operators and transformations for fast and effective time series classification
Chang Wei Tan, Angus Dempster, Christoph Bergmeir, et al.
Data Mining and Knowledge Discovery (2022) Vol. 36, Iss. 5, pp. 1623-1646
Open Access | Times Cited: 117
Densely Knowledge-Aware Network for Multivariate Time Series Classification
Zhiwen Xiao, Huanlai Xing, Rong Qu, et al.
IEEE Transactions on Systems Man and Cybernetics Systems (2024) Vol. 54, Iss. 4, pp. 2192-2204
Open Access | Times Cited: 95
DTCM: Deep Transformer Capsule Mutual Distillation for Multivariate Time Series Classification
Zhiwen Xiao, Xin Xu, Huanlai Xing, et al.
IEEE Transactions on Cognitive and Developmental Systems (2024) Vol. 16, Iss. 4, pp. 1445-1461
Open Access | Times Cited: 63
Bake off redux: a review and experimental evaluation of recent time series classification algorithms
Matthew Middlehurst, Patrick Schäfer, Anthony Bagnall
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 4, pp. 1958-2031
Open Access | Times Cited: 52
Time Series Classification: A Review of Algorithms and Implementations
Johann Faouzi
IntechOpen eBooks (2024)
Open Access | Times Cited: 25
The Canonical Interval Forest (CIF) Classifier for Time Series Classification
Matthew Middlehurst, James Large, Anthony Bagnall
2021 IEEE International Conference on Big Data (Big Data) (2020), pp. 188-195
Open Access | Times Cited: 102
Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline.
Wensi Tang, Guodong Long, Lu Liu, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 85
Adaptive feature fusion for time series classification
Tian Wang, Zhaoying Liu, Ting Zhang, et al.
Knowledge-Based Systems (2022) Vol. 243, pp. 108459-108459
Closed Access | Times Cited: 43
Hydra: competing convolutional kernels for fast and accurate time series classification
Angus Dempster, Daniel F. Schmidt, Geoffrey I. Webb
Data Mining and Knowledge Discovery (2023) Vol. 37, Iss. 5, pp. 1779-1805
Open Access | Times Cited: 42
Multivariate Time Series Imputation With Transformers
A. Yarkın Yldz, Emirhan Koç, Aykut Koç
IEEE Signal Processing Letters (2022) Vol. 29, pp. 2517-2521
Open Access | Times Cited: 39
Rethinking attention mechanism in time series classification
Bowen Zhao, Huanlai Xing, Xinhan Wang, et al.
Information Sciences (2023) Vol. 627, pp. 97-114
Open Access | Times Cited: 29
Time-series classification in smart manufacturing systems: An experimental evaluation of state-of-the-art machine learning algorithms
Mojtaba A. Farahani, Matt McCormick, Ramy Harik, et al.
Robotics and Computer-Integrated Manufacturing (2024) Vol. 91, pp. 102839-102839
Open Access | Times Cited: 15
Random subsequence forests
Zengyou He, Jiaqi Wang, Mudi Jiang, et al.
Information Sciences (2024) Vol. 667, pp. 120478-120478
Closed Access | Times Cited: 10
Cross-Domain Pre-training with Language Models for Transferable Time Series Representations
Mingyue Cheng, Xiaoyu Tao, Qi Liu, et al.
(2025), pp. 175-183
Closed Access | Times Cited: 1
Automated machine learning approach for time series classification pipelines using evolutionary optimization
Ilia Revin, Vadim A. Potemkin, Nikita R. Balabanov, et al.
Knowledge-Based Systems (2023) Vol. 268, pp. 110483-110483
Closed Access | Times Cited: 23
Amercing: An intuitive and effective constraint for dynamic time warping
Matthieu Herrmann, Geoffrey I. Webb
Pattern Recognition (2023) Vol. 137, pp. 109333-109333
Open Access | Times Cited: 20
Elastic similarity and distance measures for multivariate time series
Ahmed Shifaz, Charlotte Pelletier, François Petitjean, et al.
Knowledge and Information Systems (2023) Vol. 65, Iss. 6, pp. 2665-2698
Open Access | Times Cited: 20
WEASEL 2.0: a random dilated dictionary transform for fast, accurate and memory constrained time series classification
Patrick Schäfer, Ulf Leser
Machine Learning (2023) Vol. 112, Iss. 12, pp. 4763-4788
Open Access | Times Cited: 19
Fast and Accurate Time Series Classification Through Supervised Interval Search
Nestor Cabello, Elham Naghizade, Jianzhong Qi, et al.
2021 IEEE International Conference on Data Mining (ICDM) (2020)
Closed Access | Times Cited: 47
Auto-adaptive multilayer perceptron for univariate time series classification
Felipe Arias Del Campo, María Cristina Guevara Neri, Osslan Osíris Vergara Villegas, et al.
Expert Systems with Applications (2021) Vol. 181, pp. 115147-115147
Closed Access | Times Cited: 36
SVP-T: A Shape-Level Variable-Position Transformer for Multivariate Time Series Classification
Rundong Zuo, Guozhong Li, Byron Choi, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2023) Vol. 37, Iss. 9, pp. 11497-11505
Open Access | Times Cited: 16
STTRE: A Spatio-Temporal Transformer with Relative Embeddings for multivariate time series forecasting
Azad Deihim, Eduardo Alonso, Dimitra Apostolopoulou
Neural Networks (2023) Vol. 168, pp. 549-559
Open Access | Times Cited: 16
An exhaustive comparison of distance measures in the classification of time series with 1NN method
Tomasz Górecki, Maciej Łuczak, Paweł Piasecki
Journal of Computational Science (2024) Vol. 76, pp. 102235-102235
Closed Access | Times Cited: 6
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