LabCompass

Herman Shen

Computer Science · The Ohio State University

OpenAlex ORCID
Established · publishing since 1995
Anomaly Detection Techniques and ApplicationsFatigue and fracture mechanicsNuclear reactor physics and engineeringFault Detection and Control SystemsEmergency and Acute Care Studies

Publications

13

Citations

155

Est. group size

—

Recurring co-author estimate

Active years

32

Publishing since 1995

Research summary
AI-generated

Herman Shen's work spans two areas: mechanical engineering topics like fatigue and fracture analysis and structural optimization (e.g., vehicle suspension design), and more recent work on fault detection and explainable artificial intelligence (AI methods designed to make automated decisions more understandable to humans). Recent publications focus on applying AI and machine learning techniques to detect and diagnose faults in mechanical or industrial systems.

Fatigue and fracture mechanicsFault detection and diagnosisExplainable artificial intelligenceStructural optimizationNuclear and mechanical engineering applications

Publication output has been low and irregular over the last decade, with several gap years and only a small uptick in 2024 and an upcoming 2026 publication.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 0.6/year recently
1718192020: 2 publications2202021: 1 publication2122232024: 2 publications224252026: 1 publication26
Recent publications
Publishes in
  • arXiv (Cornell University)×3
  • BMJ Health & Care Informatics×1
  • Journal of Industrial and Production Engineering×1
  • SAE International journal of vehicle dynamics, stability, and NVH×1
  • 57th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 19, 2026.

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