UCR / UEA archives

data category: Time-series and traffic benchmarks · 0 papers in the last 7 days

← Most-used data · All Time-series and traffic benchmarks datasets

Collections used to compare forecasting and time-series classification methods.

Names searched for: UCR archive, UCR time series, UEA archive, UCR/UEA

Key findings#

From Nov 2023 to Oct 2026, 97 archived papers mentioned UCR / UEA archives in their title, abstract or keywords (the search of earlier months' full texts is still under way), most of them in Apr 2024 (7).
No paper of the tracked journals mentioned UCR / UEA archives in the last 30 days (2026-10-06 to 2026-11-04).
From 2017 to 2026 (so far), UCR / UEA archives was mentioned in 123 papers in the tracked journals, most of them in AI (115), statistics (6) and operations research (2).
29 of them were published in 2025, against 1 in 2017.
Since 2023, the institutions with the most of these papers were Monash University (8), KU Leuven (4) and University of Technology Sydney (4).
The journals publishing most of them were Data Mining and Knowledge Discovery (29), IEEE Transactions on Knowledge and Data Engineering (9) and Machine Learning (8).
The most-cited of them is “ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels” (Data Mining and Knowledge Discovery, 2020), with 1,063 citations.
Papers use UCR / UEA archives most often with PhysioNet / MIT-BIH (12), Traffic (PeMS, METR-LA) (12) and UCI Machine Learning Repository (11); it has 11 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST.

Mentions over 36 months#

Papers mentioning it by publication month, Nov 2023 to Oct 2026 (titles, abstracts and keywords; the full texts of earlier months are still being searched)
Trend	Nov 23–Oct 24	Nov 24–Oct 25	Nov 25–Oct 26	36 months
	37	28	32	97

Papers per year#

20172026 (so far)

Papers per publication year and category
Category	2017	2019	2020	2021	2022	2023	2024	2025	2026 (so far)
AI	1	4	9	4	2	10	32	25	28
Statistics	0	0	0	0	0	2	2	2	0
Operations Research	0	0	0	0	0	0	0	2	0
All categories	1	4	9	4	2	12	34	29	28

Where the papers come from#

Journals with the most papers, since 2023
#	Journal	Papers
1	Data Mining and Knowledge Discovery	29
2	IEEE Transactions on Knowledge and Data Engineering	9
3	Machine Learning	8
4	IEEE Transactions on Neural Networks and Learning Systems	7
5	Knowledge and Information Systems	6
6	Pattern Recognition	5
7	Expert Systems with Applications	5
8	IEEE Transactions on Pattern Analysis and Machine Intelligence	4
9	Neural Networks	4
10	Knowledge-Based Systems	4

Institutions with the most papers, since 2023
#	Institution	Papers
1	Monash University	8
2	KU Leuven	4
3	University of Technology Sydney	4
4	Harbin Institute of Technology	3
5	Hong Kong University of Science and Technology	3
6	South China University of Technology	3
7	University of East Anglia	3
8	Centre National de la Recherche Scientifique	2
9	Chinese Academy of Sciences	2
10	Deakin University	2

Countries with the most papers, since 2023
#	Country	Papers
1	China	25
2	Australia	16
3	United States	15
4	Italy	11
5	United Kingdom	9
6	Germany	8
7	Hong Kong	8
8	Spain	7
9	France	6
10	Singapore	5

Keywords with the most papers, since 2023
#	Keyword	Papers
1	time series classification	41
2	time series anomaly detection	9
3	time series clustering	9
4	explainable AI	8
5	model interpretability	8
6	multivariate time series classification	8
7	time series forecasting	8
8	computational efficiency	7
9	dynamic time warping	7
10	feature selection	6

Most-cited papers#

Most-cited papers since 2017
#	Citations	Per month	Title	Journal	Published	Authors
1	1,063	14.0	ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels	Data Mining and Knowledge Discovery	2020-07-13	Angus Dempster, François Petitjean, Geoffrey I. Webb
2	572	21.4	A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection	IEEE Transactions on Pattern Analysis and Machine Intelligence	2024-08-14	Ming Jin, Huan Yee Koh, Qingsong Wen et al.
3	477	6.8	The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances	Data Mining and Knowledge Discovery	2020-12-18	Alejandro Pasos Ruiz, Michael Flynn, James Large et al.
4	335	5.5	HIVE-COTE 2.0: a new meta ensemble for time series classification	Machine Learning	2021-09-24	Matthew Middlehurst, James Large, Michael Flynn et al.
5	295	9.6	Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects	IEEE Transactions on Pattern Analysis and Machine Intelligence	2024-04-10	Kexin Zhang, Qingsong Wen, Chaoli Zhang et al.

Archive counts by publication year: a paper counts when its title, abstract or keywords name the dataset, or when OpenAlex's full-text search finds it there (searched for the last 30 days' papers and, by a pass over the past years, for older ones). Names added to the list later are looked for in older papers as the archive is read again.

Used together with#

Papers use UCR / UEA archives most often with PhysioNet / MIT-BIH (12), Traffic (PeMS, METR-LA) (12) and UCI Machine Learning Repository (11); it has 11 partners in the code and data network, in the group around ImageNet, CIFAR-10 / CIFAR-100, MNIST / Fashion-MNIST. The whole network →

What papers use UCR / UEA archives together with (at least 3 papers; lift 1 = chance)
Used with	Type	Papers using both	Lift
PhysioNet / MIT-BIH	Dataset	12	20.9
Traffic (PeMS, METR-LA)	Dataset	12	21.6
UCI Machine Learning Repository	Dataset	11	6.8
ETT (electricity transformer temperature)	Dataset	8	72.4
ImageNet	Dataset	8	1.3
MNIST / Fashion-MNIST	Dataset	8	2.8
Kaggle	Dataset	5	3.4
CIFAR-10 / CIFAR-100	Dataset	4	1.1
Twitter / X	Dataset	4	0.3
Industrial control anomalies (SWaT, WADI)	Dataset	3	35.4
NOAA	Dataset	3	5.0

Cite this page

Scholar4AI. (2026). UCR / UEA archives. Journal and Conference Research Rankings. Retrieved November 4, 2026, from https://scholar4ai.com/datasets/ucr-uea-archives

@misc{scholar4ai-datasets-ucr-uea-archives,
  author = {{Scholar4AI}},
  title = {UCR / UEA archives},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/ucr-uea-archives}},
  urldate = {2026-11-04},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}

Free to reuse for non-commercial purposes with attribution (CC BY-NC 4.0).