---
title: "UCR / UEA archives: research papers using this data"
description: "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)."
url: https://scholar4ai.com/datasets/ucr-uea-archives
markdown_url: https://scholar4ai.com/datasets/ucr-uea-archives.md
license: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/)
share_text: "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). (as of 2026-11-05)"
data_url: https://scholar4ai.com/data/rankings.json
updated: 2026-11-05T06:02:37+09:00
window: 2026-10-07 to 2026-11-05
source: OpenAlex (CC0)
---

# UCR / UEA archives

[Browse dataset profiles](https://scholar4ai.com/datasets/directory/page/6.md)

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

- data category: Time-series and traffic benchmarks
- 0 papers in the last 7 days
- Names searched for: UCR archive, UCR time series, UEA archive, UCR/UEA

Most-used data: https://scholar4ai.com/rankings/datasets.md · All Time-series and traffic benchmarks datasets: https://scholar4ai.com/datasets/time-series-and-traffic-benchmarks.md



## 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 (2026-10-07 to 2026-11-05).
- 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

*Papers per publication year and category*

| Category | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (so far) |
|---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
| [AI](https://scholar4ai.com/categories/ai.md) | 1 | 0 | 4 | 9 | 4 | 2 | 10 | 32 | 25 | 28 |
| [Statistics](https://scholar4ai.com/categories/statistics.md) | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 2 | 0 |
| [Operations Research](https://scholar4ai.com/categories/operations-research.md) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 |
| All categories | 1 | 0 | 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](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 29 |
| 2 | [IEEE Transactions on Knowledge and Data Engineering](https://scholar4ai.com/journals/ieee-transactions-on-knowledge-and-data-engineering.md) | 9 |
| 3 | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 8 |
| 4 | [IEEE Transactions on Neural Networks and Learning Systems](https://scholar4ai.com/journals/ieee-transactions-on-neural-networks-and-learning-systems.md) | 7 |
| 5 | [Knowledge and Information Systems](https://scholar4ai.com/journals/knowledge-and-information-systems.md) | 6 |
| 6 | [Pattern Recognition](https://scholar4ai.com/journals/pattern-recognition.md) | 5 |
| 7 | [Expert Systems with Applications](https://scholar4ai.com/journals/expert-systems-with-applications.md) | 5 |
| 8 | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 4 |
| 9 | [Neural Networks](https://scholar4ai.com/journals/neural-networks.md) | 4 |
| 10 | [Knowledge-Based Systems](https://scholar4ai.com/journals/knowledge-based-systems.md) | 4 |

*Institutions with the most papers, since 2023*

| # | Institution | Papers |
|---:|---|---:|
| 1 | [Monash University](https://scholar4ai.com/institutions/monash-university.md) | 8 |
| 2 | [KU Leuven](https://scholar4ai.com/institutions/ku-leuven.md) | 4 |
| 3 | [University of Technology Sydney](https://scholar4ai.com/institutions/university-of-technology-sydney.md) | 4 |
| 4 | [Harbin Institute of Technology](https://scholar4ai.com/institutions/harbin-institute-of-technology.md) | 3 |
| 5 | [Hong Kong University of Science and Technology](https://scholar4ai.com/institutions/hong-kong-university-of-science-and-technology.md) | 3 |
| 6 | [South China University of Technology](https://scholar4ai.com/institutions/south-china-university-of-technology.md) | 3 |
| 7 | University of East Anglia | 3 |
| 8 | [Centre National de la Recherche Scientifique](https://scholar4ai.com/institutions/centre-national-de-la-recherche-scientifique.md) | 2 |
| 9 | [Chinese Academy of Sciences](https://scholar4ai.com/institutions/chinese-academy-of-sciences.md) | 2 |
| 10 | [Deakin University](https://scholar4ai.com/institutions/deakin-university.md) | 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](https://scholar4ai.com/keywords/explainable-ai.md) | 8 |
| 5 | [model interpretability](https://scholar4ai.com/keywords/model-interpretability.md) | 8 |
| 6 | multivariate time series classification | 8 |
| 7 | [time series forecasting](https://scholar4ai.com/keywords/time-series-forecasting.md) | 8 |
| 8 | [computational efficiency](https://scholar4ai.com/keywords/computational-efficiency.md) | 7 |
| 9 | dynamic time warping | 7 |
| 10 | [feature selection](https://scholar4ai.com/keywords/feature-selection.md) | 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](https://doi.org/10.1007/s10618-020-00701-z) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 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](https://doi.org/10.1109/tpami.2024.3443141) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 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](https://doi.org/10.1007/s10618-020-00727-3) | [Data Mining and Knowledge Discovery](https://scholar4ai.com/journals/data-mining-and-knowledge-discovery.md) | 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](https://doi.org/10.1007/s10994-021-06057-9) | [Machine Learning](https://scholar4ai.com/journals/machine-learning.md) | 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](https://doi.org/10.1109/tpami.2024.3387317) | [IEEE Transactions on Pattern Analysis and Machine Intelligence](https://scholar4ai.com/journals/ieee-transactions-on-pattern-analysis-and-machine-intelligence.md) | 2024-04-10 | Kexin Zhang, Qingsong Wen, Chaoli Zhang et al. |

## 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.

*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](https://scholar4ai.com/datasets/physionet-mit-bih.md) | Dataset | 12 | 20.9 |
| [Traffic (PeMS, METR-LA)](https://scholar4ai.com/datasets/traffic-pems-metr-la.md) | Dataset | 12 | 21.6 |
| [UCI Machine Learning Repository](https://scholar4ai.com/datasets/uci-machine-learning-repository.md) | Dataset | 11 | 6.8 |
| [ETT (electricity transformer temperature)](https://scholar4ai.com/datasets/ett-electricity-transformer-temperature.md) | Dataset | 8 | 72.4 |
| [ImageNet](https://scholar4ai.com/datasets/imagenet.md) | Dataset | 8 | 1.3 |
| [MNIST / Fashion-MNIST](https://scholar4ai.com/datasets/mnist-fashion-mnist.md) | Dataset | 8 | 2.8 |
| [Kaggle](https://scholar4ai.com/datasets/kaggle.md) | Dataset | 5 | 3.4 |
| [CIFAR-10 / CIFAR-100](https://scholar4ai.com/datasets/cifar-10-cifar-100.md) | Dataset | 4 | 1.1 |
| [Twitter / X](https://scholar4ai.com/datasets/twitter-x.md) | Dataset | 4 | 0.3 |
| [Industrial control anomalies (SWaT, WADI)](https://scholar4ai.com/datasets/industrial-control-anomalies-swat-wadi.md) | Dataset | 3 | 35.4 |
| [NOAA](https://scholar4ai.com/datasets/noaa.md) | Dataset | 3 | 5.0 |

The whole network: https://scholar4ai.com/code/network.md

## Cite this page

Scholar4AI. (2026). UCR / UEA archives. Journal and Conference Research Rankings. Retrieved November 5, 2026, from https://scholar4ai.com/datasets/ucr-uea-archives

```bibtex
@misc{scholar4ai-datasets-ucr-uea-archives,
  author = {{Scholar4AI}},
  title = {UCR / UEA archives},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/datasets/ucr-uea-archives}},
  urldate = {2026-11-05},
  note = {Journal and Conference Research Rankings; data from OpenAlex (CC0); licensed CC BY-NC 4.0}
}
```

License: CC BY-NC 4.0 (https://creativecommons.org/licenses/by-nc/4.0/).