International Journal of Biomedical Engineering and Technology

Aims & Scope

IJBET addresses cutting-edge research in the multi-disciplinary area of biomedical engineering and technology.

Medical science incorporates scientific/technological advances combining to produce more accurate diagnoses, effective treatments with fewer side effects, and improved ability to prevent disease and provide superior-quality healthcare.

A key field here is biomedical engineering/technology, offering a synthesis of physical, chemical, mathematical and computational sciences combined with engineering principles to enhance R&D in biology, medicine, behaviour, and health.

Topics covered include Artificial organs Automated patient monitoring Advanced therapeutic and surgical devices Application of expert systems and AI to clinical decision making Biomaterials design Biomechanics of injury and wound healing Blood chemistry sensors Computer modelling of physiologic systems Design of optimal clinical laboratories Medical imaging systems Sports medicine.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	0.6
2024	0.70

SJR (SCImago Journal Rank)

Year	Value
2024	0.200

Quartile

Year	Value
2024	Q4

h-index

Year	Value
2024	26

Journal Rank

Year	Value
2024	21190

Journal Citation Indicator

Year	Value
2024	239

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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.

• Optimised denoising scheme via opposition-based self-adaptive learning PSO algorithm for wavelet-based ECG signal noise reduction

  Citation: 242

  Authors: Vinu

• A survey of big data architectures and machine learning algorithms in healthcare

  Citation: 113

  Authors: Gunasekaran, Daphne

• Histopathological image classification using dilated residual grooming kernel model

  Citation: 105

  Authors: Ramgopal

• Region-based seed point cell segmentation and detection for biomedical image analysis

  Citation: 83

  Authors: R., H.

• Sleep staging from Heart Rate Variability: time-varying spectral features and Hidden Markov Models

  Citation: 81

  Authors: Martin Oswaldo, Matteo, Vincenza, Luigi Ferini, Sergio, Anna Maria

• Experiences in the development of a Smart Lab

  Citation: 56

  Authors: C.D., M.D., X., S.

• Enhancing survival prognostication in patients with choroidal melanoma by integrating pathologic, clinical and genetic predictors of metastasis

  Citation: 53

  Authors: Antonio, Bertil, Sarah E., Azzam F.G.

• EEG signal classification based on simple random sampling technique with least square support vector machine

  Citation: 45

  Authors: N.A., Yan, Peng

• GA_RBF NN: a classification system for diabetes

  Citation: 44

  Authors: Dilip Kumar, Sanchita

• Heart disease classification system using optimised fuzzy rule based algorithm

  Citation: 42

  Authors: G. Thippa, Neelu

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