Explainable Online Lane Change Predictions on a Digital Twin with a Layer Normalized LSTM and Layer-wise Relevance Propagation. - Christoph Wehner; Francis Powlesland; Bashar Altakrouri; Ute Schmid (IEA/AIE, 2022)

Interactive and Intelligent Root Cause Analysis in Manufacturing with Causal Bayesian Networks and Knowledge Graphs. - Christoph Wehner; Maximilian Kertel; Judith Wewerka (VTC2023-Spring, 2023)

ManuKnowVis: How to Support Different User Groups in Contextualizing and Leveraging Knowledge Repositories. - Joscha Eirich; Dominik Jäckle; Michael Sedlmair; Christoph Wehner; Ute Schmid; Jürgen Bernard; Tobias Schreck (IEEE Trans. Vis. Comput. Graph., 2023)

Comprehensible Artificial Intelligence on Knowledge Graphs: A survey. - Simon Schramm; Christoph Wehner; Ute Schmid (J. Web Semant., 2023)

From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures. - Christoph Wehner; Chrysa Iliopoulou; Tarek R. Besold (CoRR, 2024)

Anwendung von Causal-Discovery-Algorithmen zur Root-Cause-Analyse in der Fahrzeugmontage. - Lucas Poßner; Lukas Bahr; Leonard Roehl; Christoph Wehner; Sophie Groeger (CoRR, 2024)

Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis. - Lukas Bahr; Christoph Wehner; Judith Wewerka; José Bittencourt; Ute Schmid; Rüdiger Daub (J. Ind. Inf. Integr., 2025)