Papers

3

Total Citations

88

H-Index

2

About

Katsuhide Fujita is a researcher whose work spans the intersection of artificial intelligence, multi-agent systems, and technology-society linkage discovery. His most influential contribution lies in the development of Literature Based Discovery (LBD) approaches to identify meaningful connections between emerging technologies and pressing social issues — a methodology with significant implications for policy-making and strategic planning. Published across 2012 and 2013, this line of research accumulated over 85 citations, reflecting its value to decision makers in both government and industry sectors grappling with challenges such as aging societies and sustainability. By enabling systematic identification of which technologies hold the greatest potential to address societal needs, Fujita's work bridges the often-siloed worlds of scientific research and public policy. More recently, his research has expanded into autonomous multi-agent systems, with a 2024 study addressing online planning for mobile robots in warehouse commissioning tasks — a timely contribution as automation becomes increasingly central to logistics and supply chain operations. Fujita's career demonstrates a consistent commitment to applying computational intelligence to real-world, high-impact challenges across both social and industrial domains.

Research Focus

Key Achievements

2
H-Index
3
Papers
88
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Finding linkage between technology and social issue: A Literature Based Discovery approach
83 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Tokyo University of Agriculture and Technology, The University of Tokyo

Top Papers

  1. 1
  2. 2
    Finding linkage between technology and social issues: A literature based discovery approach
    3 citations · 2012
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago