timeseriesAI/tsai: papers linking to it

GitHub · 6,140 stars · 720 forks · Jupyter Notebook · license Apache-2.0 · created 2019 · github.com/timeseriesAI/tsai

← Code and data repositories cited in research papers

Research papers in the 480 tracked journals that link to timeseriesAI/tsai (https://github.com/timeseriesAI/tsai), read from their Crossref records: by year, category and journal, the family tree of papers building on one another, and the linked repositories derived from it or that it derives from.

Key findings#

4 papers in the tracked journals link to the GitHub repository timeseriesAI/tsai in their Crossref records, the first in 2023; most of them (2) in 2025.
By category: AI (4); the journals with the most are Applied Intelligence (1), Neural Computing and Applications (1) and Cognitive Computation (1).

By year#

20232025

Papers linking to timeseriesAI/tsai by publication year
Year	Papers
2023	1
2024	1
2025	2

Journals#

Journals whose papers link to timeseriesAI/tsai most
Journal	Papers
Applied Intelligence	1
Neural Computing and Applications	1
Cognitive Computation	1
Journal Of Big Data	1

Papers linking to timeseriesAI/tsai, most cited first
Published	Title	Journal	Authors	Citations	Link
2023-06-02	Artificial intelligence for improving Nitrogen Dioxide forecasting of Abu Dhabi environment agency ground-based stations	Journal Of Big Data	Aamna Al Shehhi, Roy E. Welsch	18	cites it
2024-12-16	On the Integration of Large-Scale Time Series Distance Matrices Into Deep Visual Analytic Tools	Cognitive Computation	Inmaculada Santamaria-Valenzuela, Víctor Rodríguez-Fernández, David Camacho	1	cites it
2025-02-26	Predicting hemodynamic parameters based on arterial blood pressure waveform using self-supervised learning and fine-tuning	Applied Intelligence	Ke Liao, Armağan Elibol, Ziyan Gao et al.	1	cites it
2025-08-02	Surfing the Bitcoin waves: comprehensive trend forecasting with various trader types	Neural Computing and Applications	Can Ali Ateş, Emre Çoban, Tuğba Gürgen Erdoğan	0	cites it

How this is measured#

Links are read from each paper's Crossref record as its publisher deposited it: the URLs and repository DOIs in its reference list (the software and data it cites) and its supplementary links (“is-supplemented-by”: its own code or data). A paper that gives its code only in the text, a footnote or a data availability statement is not counted, and some publishers deposit reference lists without their URLs, so every count here is a lower bound. Repository details come from the GitHub REST API (stars, forks, and the repository a fork was made from), the Hugging Face Hub API (likes, downloads, and the base model a model was derived from) and DataCite (Zenodo and other data DOIs, and the GitHub release a Zenodo record archives), read again every month.

Cite this page

Scholar4AI. (2026). timeseriesAI/tsai: papers linking to it. Journal and Conference Research Rankings. Retrieved November 3, 2026, from https://scholar4ai.com/code/github-timeseriesai-tsai

@misc{scholar4ai-code-github-timeseriesai-tsai,
  author = {{Scholar4AI}},
  title = {timeseriesAI/tsai: papers linking to it},
  year = {2026},
  howpublished = {\url{https://scholar4ai.com/code/github-timeseriesai-tsai}},
  urldate = {2026-11-03},
  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).