Biocybernetics and Biomedical Engineering

Aims & Scope

Biocybernetics and Biomedical Engineering is a quarterly journal, founded in 1981, devoted to publishing the results of original, innovative and creative research investigations in the field of Biocybernetics and biomedical engineering, which bridges mathematical, physical, chemical and engineering methods and technology to analyse physiological processes in living organisms as well as to develop methods, devices and systems used in biology and medicine, mainly in medical diagnosis, monitoring systems and therapy.

The Journal's mission is to advance scientific discovery into new or improved standards of care, and promotion a wide-ranging exchange between science and its application to humans.

Biocybernetics and Biomedical Engineering encourages contributions on all aspects of research and developments in: biosystems, including biomedical modeling; cell and tissue engineering for repair medicine; biomeasurements, including biosignal processing and biosensing systems; artificial and hybrid (bioartificial) organs; biomaterials; biomechanics and rehabilitation, including orthopedics and sports medicine; medical information systems and neuronal networks; information and communication technologies in medicine, including brain-computer interfaces; medical imaging, including brain functional magnetic resonance imaging (fMRI); bioinformatics, including genome analysis; and medical physics.

The journal welcomes original research articles, reviews and short communications.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	6.6

SJR (SCImago Journal Rank)

Year	Value
2024	1.293

Quartile

Year	Value
2024	Q1

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science
• Embase

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Magnetic resonance imaging-based brain tumor grades classification and grading via convolutional neural networks and genetic algorithms

  Citation: 481

  Authors: Amin, Moosa, Foad

• Transfer learning techniques for medical image analysis: A review

  Citation: 278

  Authors: Padmavathi, Chui Ping, Oliver, U., Anjan, Wai Yee, K., K., Pawel, U.

• Automatic Detection of Coronavirus Disease (COVID-19) in X-ray and CT Images: A Machine Learning Based Approach

  Citation: 257

  Authors: Sara Hosseinzadeh, Peyman Hosseinzadeh, Michal J., Kevin A., Ralph

• A deep learning approach to detect Covid-19 coronavirus with X-Ray images

  Citation: 243

  Authors: Govardhan, Deepti, Daksh, Madhup K.

• A comparative analysis of signal processing and classification methods for different applications based on EEG signals

  Citation: 215

  Authors: Ashima, Padmavati, Trilok

• Brain tumor classification using a hybrid deep autoencoder with Bayesian fuzzy clustering-based segmentation approach

  Citation: 208

  Authors: P.M., Antony Viswasa

• A review of fabrication polymer scaffolds for biomedical applications using additive manufacturing techniques

  Citation: 207

  Authors: Patrycja, Magdalena Beata, Jerzy, Izabela, Piotr

• Automatic sleep scoring using statistical features in the EMD domain and ensemble methods

  Citation: 200

  Authors: Ahnaf Rashik, Mohammed Imamul

• Detection of brain tumors from MRI images base on deep learning using hybrid model CNN and NADE

  Citation: 191

  Authors: Raheleh, Seyyed Javad Seyyed, Maryam, Seyed Reza

• Wearable lower limb robotics: A review

  Citation: 187

  Authors: Slavka, Patrik, Marcel

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