About the Journal

InnoCore Engineering Review (ICER) is a peer-reviewed, open-access international journal dedicated to publishing pioneering research at the core of engineering innovation, core technology design, advanced structural modeling, and system-level optimization. Positioned as a premier engineering review scholarly forum, the journal serves mechanical engineers, civil and structural designers, electrical systems architects, materials science researchers, industrial engineers, and technological R&D managers worldwide. ICER prioritizes high-impact empirical research, comprehensive engineering reviews, computational design optimizations, experimental prototype evaluations, and cross-disciplinary technical breakthroughs. By synthesizing fundamental engineering mechanics with core technological innovations and digital simulation techniques, the journal fosters a deep, comprehensive understanding of how core design principles and novel engineering paradigms drive industrial resilience, energy efficiency, and technological progress.
 
Scope and Topics
Reflecting its mandate to champion core engineering innovations and multi-disciplinary technical solutions, the journal welcomes high-quality original research articles, systematic engineering reviews, computational modeling studies, and field-tested technical evaluations within the following thematic areas:
  • Core Mechanical Systems & Structural Design: Advanced machine components, mechanical reliability, finite element analysis (FEA), structural integrity, kinematics, and precision engineering.
  • Advanced Materials & Core Manufacturing Systems: Metallurgy, composites, smart functional materials, additive manufacturing process optimization, material failure analysis, and sustainable manufacturing technologies.
  • Electrical Systems, Mechatronics & Power Core: Power grid systems, embedded control systems, smart sensor architectures, signal processing in industrial hardware, and semiconductor device engineering.
  • Industrial Engineering & System Optimization: Operations research in manufacturing, supply chain engineering, human-factors engineering, automated quality control, and lean engineering systems.
  • Computational Engineering, Digital Twins & Simulation: Multiphysics simulations, machine learning applications in structural design, predictive maintenance modeling, and high-performance computing in engineering.
Publication Frequency
To ensure rigorous editorial oversight, thorough peer review, and the timely dissemination of engineering research, ICER is published semi-annually (2 issues per year, typically scheduled for release in June and December). Special thematic issues focusing on additive manufacturing breakthroughs, digital twins in structural health monitoring, or energy-efficient mechatronics may be commissioned by the Editorial Board.

 

Peer Review Process
ICER enforces a strict double-blind peer review policy to maintain the highest standards of technical integrity, experimental repeatability, and methodological validity across engineering disciplines.
  • Initial Desk Evaluation: Every submission undergoes a preliminary screening by the Editor-in-Chief or a relevant Engineering Subject Editor to assess technical alignment, methodological soundness (numerical simulation rigor, experimental protocol validity, prototype verification depth, or mathematical modeling accuracy), and structural compliance. Plagiarism screening via Turnitin/iThenticate is strictly executed at this stage, requiring a similarity index below the journal's maximum threshold.
  • Expert Peer Review: Manuscripts passing the desk evaluation are anonymized and assigned to at least two independent international reviewers who are established academic researchers, senior engineering specialists, or industrial R&D leaders in the relevant domain.
  • Editorial Decision: Based on the reviewers' recommendations, the Editorial Board renders one of four decisions: Acceptance, Revisions Required (Minor/Major), Resubmit for Review, or Rejection. The final decision rests entirely on intellectual merit, technical rigor, experimental clarity, and potential industrial or societal impact.