Daiki Ueno

Mitsui (Japan), Yokohama City University Hospital

Papers

2

Total Citations

5

H-Index

2

About

Daiki Ueno’s research spans two distinct and impactful fields: logistics optimization and urologic oncology. In logistics, Ueno addresses critical inefficiencies in warehouse operations, particularly the challenge of sudden order changes and route blockages. Their 2024 work proposes novel optimization strategies to enhance picking efficiency, directly targeting labor shortages and operational disruptions in the logistics industry. In urologic oncology, Ueno has made significant contributions to robotic surgery, notably through a 2025 propensity score-matched analysis comparing robot-assisted partial nephrectomy outcomes for hilar versus non-hilar tumors. This study evaluates complications, renal function preservation, and recurrence-free survival, providing crucial insights for surgical decision-making. With a combined citation count of 5 across these recent publications, Ueno’s work demonstrates early but meaningful impact in both engineering and clinical domains. Their interdisciplinary approach—bridging operational research and surgical outcomes—highlights a unique ability to tackle complex, real-world problems. Ueno’s research is particularly valuable for students and professionals interested in the intersection of technology, healthcare, and industrial efficiency.

Research Focus

Key Achievements

2
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
The Optimization of Picking in Logistics Warehouses in the Event of Sudden Picking Order Changes and Picking Route Blockages
3 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 15
🏛 Institutions: Mitsui (Japan), Yokohama City University Hospital

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago