Explainable Data Analysis
Explainable Data Analysis is a systematic analytic approach within human-centered data analysis that enables transparent interpretation of data-driven insights by explicitly revealing the underlying rationale, assumptions, and mechanisms governing analytical outcomes.
65
Publications
5.1K
Citations
193
Authors
108
Institutions
Publications per year
2017–2026
44
Parents
65
Hongtian Chen, Zhigang Liu, Cesare Alippi et al. · IEEE Transactions on Neural Networks and Learning Systems · 2022 · 191 citations · Full text
1–5 of 65
193
University of Illinois Urbana-Champaign, United States
2 publications · 36 citations
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2
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2
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2
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1–5 of 193
108
University of California, Berkeley
Berkeley, United States
3 h-index
4 publications
406 citations
University of Wisconsin–Madison
Madison, United States
2 h-index
1 publications
60 citations

Universidad de Los Andes, Chile
Santiago, Chile
2 h-index
4 publications
202 citations
University of Illinois Chicago
Chicago, United States
2 h-index
1 publications
60 citations

Ss. Cyril and Methodius University in Skopje
Skopje, North Macedonia
2 h-index
3 publications
53 citations

Jinan University
Guangzhou, China
2 h-index
7 publications
421 citations
Università della Svizzera italiana
Lugano, Switzerland
2 h-index
6 publications
301 citations
Complex Engineering System Institute
Santiago, Chile
2 h-index
5 publications
410 citations
1–8 of 108
Repository · 2 publications · 40 citations
2
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2 publications · 36 citations
2
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TFS · 1 publications · 25 citations
1
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1 publications · 34 citations
1
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1 publications · 23 citations
1
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