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:

TSEvo: Evolutionary Counterfactual Explanations for Time Series Classification
Jacqueline Höllig, Cedric Kulbach, Steffen Thoma
(2022)
Closed Access | Times Cited: 6

Showing 6 citing articles:

Info-CELS: Informative Saliency Map-Guided Counterfactual Explanation for Time Series Classification
Peiyu Li, Omar Bahri, Pouya Hosseinzadeh, et al.
Electronics (2025) Vol. 14, Iss. 7, pp. 1311-1311
Open Access

TSInterpret: A Python Package for the Interpretability of Time Series Classification
Jacqueline Höllig, Cedric Kulbach, Steffen Thoma
The Journal of Open Source Software (2023) Vol. 8, Iss. 85, pp. 5220-5220
Open Access | Times Cited: 7

Discord-based counterfactual explanations for time series classification
Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, et al.
Data Mining and Knowledge Discovery (2024) Vol. 38, Iss. 6, pp. 3347-3371
Open Access | Times Cited: 1

Sub-SpaCE: Subsequence-Based Sparse Counterfactual Explanations for Time Series Classification Problems
Mario Refoyo, David Luengo
Communications in computer and information science (2024), pp. 3-17
Closed Access

Sub-SpaCE: Subsequence-based Sparse Counterfactual Explanations for Time Series Classification Problems
Mario Refoyo, David Luengo
Research Square (Research Square) (2023)
Open Access | Times Cited: 1

XTSC-Bench: Quantitative Benchmarking for Explainers on Time Series Classification
Jacqueline Höllig, Steffen Thoma, Florian Grimm
(2023), pp. 1126-1131
Open Access

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