Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Counterfactual Explanations for Multivariate Time Series
Emre Ateş, Burak Aksar, Vitus J. Leung, et al.
(2021)
Open Access | Times Cited: 49

Showing 1-25 of 49 citing articles:

Counterfactual explanations and how to find them: literature review and benchmarking
Riccardo Guidotti
Data Mining and Knowledge Discovery (2022) Vol. 38, Iss. 5, pp. 2770-2824
Open Access | Times Cited: 212
Explainable AI for Time Series Classification: A Review, Taxonomy and Research Directions
Andreas Theissler, Francesco Spinnato, Udo Schlegel, et al.
IEEE Access (2022) Vol. 10, pp. 100700-100724
Open Access | Times Cited: 88
Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey
Thomas Rojat, Raphaël Puget, David Filliat, et al.
arXiv (Cornell University) (2021)
Open Access | Times Cited: 94
Instance-Based Counterfactual Explanations for Time Series Classification
Eoin Delaney, Derek Greene, Mark T. Keane
Lecture notes in computer science (2021), pp. 32-47
Closed Access | Times Cited: 71
Orchestrating explainable artificial intelligence for multimodal and longitudinal data in medical imaging
Aurélie Pahud de Mortanges, Haozhe Luo, Shelley Zixin Shu, et al.
npj Digital Medicine (2024) Vol. 7, Iss. 1
Open Access | Times Cited: 7
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects.
Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, et al.
arXiv (Cornell University) (2020)
Closed Access | Times Cited: 45
Glacier: guided locally constrained counterfactual explanations for time series classification
Zhendong Wang, Isak Samsten, Ioanna Miliou, et al.
Machine Learning (2024) Vol. 113, Iss. 7, pp. 4639-4669
Open Access | Times Cited: 5
Towards Responsible and Reliable Traffic Flow Prediction with Large Language Models
Xusen Guo, Qiming Zhang, Junyue Jiang, et al.
(2024)
Closed Access | Times Cited: 5
Evaluation of Instance-Based Explanations: An In-Depth Analysis of Counterfactual Evaluation Metrics, Challenges, and the CEval Toolkit
Betül Bayrak, Kerstin Bach
IEEE Access (2024) Vol. 12, pp. 137683-137695
Open Access | Times Cited: 4
Counterfactual explanations for deep learning-based traffic forecasting
Rushan Wang, Yanan Xin, Yatao Zhang, et al.
Communications in Transportation Research (2025) Vol. 5, pp. 100176-100176
Closed Access
Motif-Guided Time Series Counterfactual Explanations
Peiyu Li, Soukaïna Filali Boubrahimi, Shah Muhammad Hamdi
Lecture notes in computer science (2023), pp. 203-215
Closed Access | Times Cited: 10
Counterfactual Explanations for Deep Learning-Based Traffic Forecasting
Rushan Wang, Yanan Xin, Yatao Zhang, et al.
(2024)
Open Access | Times Cited: 3
Explainability of CNN-based Alzheimer’s disease detection from online handwriting
Jana Sweidan, Mounîm A. El‐Yacoubi, Anne‐Sophie Rigaud
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 3
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
Generating Sparse Counterfactual Explanations for Multivariate Time Series
Jana Lang, Martin A. Giese, Winfried Ilg, et al.
Lecture notes in computer science (2023), pp. 180-193
Closed Access | Times Cited: 7
Temporal Rule-Based Counterfactual Explanations for Multivariate Time Series
Omar Bahri, Peiyu Li, Soukaïna Filali Boubrahimi, et al.
(2022), pp. 1244-1249
Closed Access | Times Cited: 11
Post-hoc Explanation Options for XAI in Deep Learning: The Insight Centre for Data Analytics Perspective
Eoin M. Kenny, Eoin Delaney, Derek Greene, et al.
Lecture notes in computer science (2021), pp. 20-34
Closed Access | Times Cited: 15
SG-CF: Shapelet-Guided Counterfactual Explanation for Time Series Classification
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, et al.
2021 IEEE International Conference on Big Data (Big Data) (2022), pp. 1564-1569
Closed Access | Times Cited: 9
Learning Time Series Counterfactuals via Latent Space Representations
Zhendong Wang, Isak Samsten, Rami Mochaourab, et al.
Lecture notes in computer science (2021), pp. 369-384
Closed Access | Times Cited: 12
Understanding Any Time Series Classifier with a Subsequence-based Explainer
Francesco Spinnato, Riccardo Guidotti, Anna Monreale, et al.
ACM Transactions on Knowledge Discovery from Data (2023) Vol. 18, Iss. 2, pp. 1-34
Open Access | Times Cited: 4
CELS: Counterfactual Explanations for Time Series Data via Learned Saliency Maps
Peiyu Li, Omar Bahri, Soukaïna Filali Boubrahimi, et al.
2021 IEEE International Conference on Big Data (Big Data) (2023), pp. 718-727
Closed Access | Times Cited: 4
Translating Image XAI to Multivariate Time Series
Lorenzo Tronchin, Ermanno Cordelli, Lorenzo Ricciardi Celsi, et al.
IEEE Access (2024) Vol. 12, pp. 27484-27500
Open Access | Times Cited: 1
Explainability of CNN-based Alzheimer’s Disease Detection from Online Handwriting
Jana Sweidan, Mounîm A. El‐Yacoubi, Anne‐Sophie Rigaud
Research Square (Research Square) (2024)
Open Access | Times Cited: 1
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
Page 1 - Next Page

Scroll to top