Papers

4

Total Citations

16

H-Index

3

About

Alexander Jung is a researcher at the forefront of industrial X-ray computed tomography (CT), with a particular focus on twin robotic CT systems. His work explores how independently moving robotic arms for the X-ray source and detector can revolutionize non-destructive testing, enabling flexible scans of large objects, optimizing image quality, and reducing scan time. His most cited paper, "TriVoc" (2014, 6 citations), demonstrates an early interest in advanced imaging techniques, while his more recent work, "RoboCT: The State and Current Challenges of Industrial Twin Robotic CT Systems" (2025, 4 citations), synthesizes the field's progress and remaining hurdles. Jung also contributes to interdisciplinary design, as seen in "Towards a Micro Design of Acoustic Surfaces" (2016, 4 citations), showing his versatility. With a growing body of work that addresses both foundational challenges and practical applications, Jung is helping to shape the next generation of industrial CT, making inspections faster, more flexible, and more powerful for real-world manufacturing and quality control.

Research Focus

Key Achievements

3
H-Index
4
Papers
16
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
TriVoc
6 citations · 2014
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Deggendorf Institute of Technology, The University of Sydney

Top Papers

  1. 1
    TriVoc
    6 citations · 2014
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago