Focus and Scope

Journal of Digital Intelligence for Industry (JDII) is a peer-reviewed, open-access international academic journal that publishes original, innovative, and high-level research outcomes focusing on digitalization, intelligent technologies, and modern industrial engineering. The journal strives to provide a professional, open, and international academic platform for global researchers, engineers, and industrial experts to exchange latest theoretical achievements, technical breakthroughs, engineering applications, and practical experiences in the field of digital intelligence-driven industrial development and transformation.
JDII focuses on the interdisciplinary integration of digital technologies and industrial scenarios, covering artificial intelligence, big data, cloud computing, industrial internet, digital twin, intelligent manufacturing, and industrial system optimization. It comprehensively embraces fundamental theoretical research, key technological innovation, engineering implementation, industrial application promotion, and industrial intelligent management in the digital transformation of traditional industries and the innovative development of emerging industrial formats.
The journal accepts multiple types of manuscripts, including original research articles, comprehensive review papers, short communications, engineering practice reports, and typical industrial case studies. All submitted manuscripts are subject to rigorous double-blind peer review to ensure academic quality and objectivity. Adhering to the open-access publishing model, JDII enables permanent free access, widespread dissemination, and academic sharing of all published articles, promoting the transformation and popularization of advanced industrial digital intelligence technologies.
Topics of Interest (Including but not limited to):
  • Digital modeling, simulation, intelligent optimization and control of complex industrial systems
  • Industrial-oriented artificial intelligence, machine learning, deep learning algorithms and industrial applications
  • Intelligent manufacturing technology, industrial automation and whole-process digital transformation of production systems
  • Industrial big data mining, statistical analysis, intelligent prediction and industrial decision-making optimization
  • Industrial Internet architecture, edge computing, cloud manufacturing and industrial interconnection technologies
  • Digital twin theory, key technologies and engineering applications in industrial production and management
  • Industrial robots, intelligent terminal equipment, smart factory construction and system integration
  • Industrial network security, industrial data security, risk assessment and intelligent early warning mechanisms
  • New digital infrastructure, intelligent industrial system architecture and industrial software technology
  • Smart logistics, intelligent supply chain management and industrial digital operation optimization
  • Cross-industry digital intelligence integration, industrial innovation modes and industrial ecological construction
  • Low-carbon intelligence, energy-saving optimization and green digital transformation of industrial systems
  • Emerging digital intelligent technologies and their innovative practical applications in industrial scenarios
JDII prioritizes manuscripts with solid theoretical innovation, distinct engineering practicality and high industrial application value. The journal strongly encourages interdisciplinary research that integrates digital intelligent technologies with industrial actual demands, and promotes the deep integration of academic research and industrial development.