Journal Citation Reports 2025 reveals that the Open Access journal Cyborg and Bionic Systems has achieved an Impact Factor of 20.9, placing it 2nd in “Robotics” and 4th in “Engineering, Biomedical.” The ranking underscores how rapidly hybrid design approaches—combining biological principles with engineered control and sensing—are gaining traction across research communities.
The journal is published in affiliation with the Beijing Institute of Technology (BIT) and distributed by the American Association for the Advancement of Science (AAAS). By positioning open dissemination at its core, the journal aims to accelerate knowledge exchange among teams working on soft robotics, neuroengineering, and bioinspired systems.
A central theme is the co-design of “hybrid systems codesign” that connect living tissues, neural interfaces, and mechanical components. Rather than treating biology as inspiration alone, the journal emphasizes integration strategies where biological mechanisms inform actuation, communication, and feedback loops in technical platforms.
Its editorial scope spans robotics and biomedical engineering, with additional coverage of neural engineering and closely related fields. This breadth supports work that ranges from experimental prototypes to translationally oriented platforms meant to interact safely and effectively with human physiology.
The journal is indexed across major databases, including SCIE, EI, Scopus, PubMed, CSCD, DOAJ, and Inspec. Broad indexing helps expand discoverability for interdisciplinary contributions that may otherwise remain siloed between engineering, medicine, and computational neuroscience.
In the current featured set of studies, researchers demonstrate multimodal locomotion in amphibious platforms, teleoperated soft robotic systems for endoscopic surgery, and tissue engineering pathways that bridge regeneration and biorobotics. Together, these papers illustrate a trend toward systems that can adapt, sense, and operate across complex biological environments.
Additional highlights include earthworm-inspired soft robots enhanced by winding transmission, advances in flexible bioelectronics driven by soft and bioactive materials, and piezoelectric vibration with in situ force sensing for low-trauma tissue penetration. Such work suggests a continuing shift toward safer interfaces and more informative feedback during interaction.
Neural and sensory interfaces also appear in the lineup, with research on brain-to-sentence decoding, augmented EEG-transformer methods for steady-state visually evoked potential-based brain–computer interfaces, and wearable electrotactile systems using stimulation–inhibition electrode units.
Finally, the collection extends beyond terrestrial systems with space-physiology-informed wearable guidance, while imaging and micromotor-enabled approaches push toward smarter sensing pipelines. The combined agenda signals a viral momentum: biohybrid innovation is moving from concept to measurable, indexable, and high-impact experimentation.
Subject of Research: Hybrid bioinspired systems, robotics, biomedical engineering, neural engineering, and flexible bioelectronics
Article Title: Journal Citation Reports 2025: Cyborg and Bionic Systems Impact Factor 20.9 and top rankings
News Publication Date: Not provided
Web References: https://webofscience-authorconnect.com/c/1946455/d503bc4ca744f4e3/6, https://webofscience-authorconnect.com/c/1946455/d503bc4ca744f4e3/7, https://webofscience-authorconnect.com/c/1946455/d503bc4ca744f4e3/8
References: Not provided
Image Credits: Beijing Institute of Technology, Journal of Cyborg and Bionic Systems
Keywords: Impact Factor, robotics, biomedical engineering, bioinspired robotics, neural engineering, open access, hybrid systems codesign, bioelectronics
Tags: biohybrid systems developmentbioinspired engineeringbiomedical applications of roboticshybrid robotic system designimpact factor in biomedical engineeringintegration of biological principles in roboticsinterdisciplinary robotics and biomedical researchneural interfaces in roboticsneuroengineering advancementsopen access robotics journalssoft robotics researchtranslational neuroengineering platforms
