Machines

Machines is a peer-reviewed, open access journal published by MDPI, with the ISSN 2075-1702, dedicated to advancing the field of mechanical and industrial engineering. The journal’s scope encompasses the design, analysis, control, and application of machines and mechanical systems, with a particular emphasis on novel methodologies, automation, robotics, mechatronics, and intelligent manufacturing. It welcomes contributions on topics such as machine design and dynamics, vibration analysis, fault diagnosis, condition monitoring, fluid power systems, and the integration of artificial intelligence in mechanical systems. The journal publishes a variety of article types, including original research articles, comprehensive review papers, and short communications, ensuring a broad platform for disseminating significant findings. Its target audience includes academic researchers, practicing engineers, and graduate students working in mechanical engineering, automation, and related interdisciplinary fields. As an open access publication, all articles are freely available online, promoting wide dissemination and high visibility of research. Notably, Machines holds an Impact Factor of 3.000 for 2026, placing it in the Q2 quartile within its subject area. This standing, combined with its classification in the 3区 (Zone 3) of the Chinese Academy of Sciences (CAS) engineering technology category, reflects its solid reputation as a reputable and steadily recognized outlet for quality research in applied mechanical sciences and engineering technology.