Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology

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Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology

Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology (ISSN:0254-0037) is a peer-reviewed scopus-indexed journal from 2005 to present. The publisher of this journal is Beijing University of Technology. JBUT committed to gathering and disseminating excellent research achievements. The journal welcomes all types of General Engineering.

  • Submission Date

    (Vol 51 , Issue 01 ) | 20 Nov 2025
  • Published On

    (Vol 51 , Issue 01 ) | 30 Nov 2025
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Scopus Index (2025)
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Aim And Scopes

Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology

Agricultural science and engineering Section:

Horticulture, Agriculture, Soil Science, Agronomy, Biology, Economics, Biotechnology, Agricultural chemistry, Soil, development in plants, aromatic plants, subtropical fruits, Green house construction, Growth, Horticultural therapy, Entomology, Medicinal, Weed management in horticultural crops, plant Analysis, Tropical, Food Engineering, Venereal diseases, nutrient management, vegetables, Ophthalmology, Otorhinolaryngology, Internal Medicine, General Surgery, Soil fertility, Plant pathology, Temperate vegetables, Psychiatry, Radiology, Pulmonary Medicine, Dermatology, Organic farming, Production technology of fruits, Apiculture, Plant breeding, Molecular breeding, Recombinant technology, Plant tissue culture, Ornamental horticulture, Nursery techniques, Seed Technology, plantation crops, Food science and processing, cropping system, Agricultural Microbiology, environmental technology, Microbial, Soil and climatic factors, Crop physiology, Plant breeding,

Electrical Engineering and Telecommunication Section:

Electrical Engineering, Telecommunication Engineering, Electro-mechanical System Engineering, Biological Biosystem Engineering, Integrated Engineering, Electronic Engineering, Hardware-software co-design and interfacing, Semiconductor chip, Peripheral equipments, Nanotechnology, Advanced control theories and applications, Machine design and optimization , Turbines micro-turbines, FACTS devices , Insulation systems , Power quality , High voltage engineering, Electrical actuators , Energy optimization , Electric drives , Electrical machines, HVDC transmission, Power electronics.

Computer Science Section :

Software Engineering, Data Security , Computer Vision , Image Processing, Cryptography, Computer Networking, Database system and Management, Data mining, Big Data, Robotics , Parallel and distributed processing , Artificial Intelligence , Natural language processing , Neural Networking, Distributed Systems , Fuzzy logic, Advance programming, Machine learning, Internet & the Web, Information Technology , Computer architecture, Virtual vision and virtual simulations, Operating systems, Cryptosystems and data compression, Security and privacy, Algorithms, Sensors and ad-hoc networks, Graph theory, Pattern/image recognition, Neural networks.

Civil and architectural engineering :

Architectural Drawing, Architectural Style, Architectural Theory, Biomechanics, Building Materials, Coastal Engineering, Construction Engineering, Control Engineering, Earthquake Engineering, Environmental Engineering, Geotechnical Engineering, Materials Engineering, Municipal Or Urban Engineering, Organic Architecture, Sociology of Architecture, Structural Engineering, Surveying, Transportation Engineering.

Mechanical and Materials Engineering :

kinematics and dynamics of rigid bodies, theory of machines and mechanisms, vibration and balancing of machine parts, stability of mechanical systems, mechanics of continuum, strength of materials, fatigue of materials, hydromechanics, aerodynamics, thermodynamics, heat transfer, thermo fluids, nanofluids, energy systems, renewable and alternative energy, engine, fuels, nanomaterial, material synthesis and characterization, principles of the micro-macro transition, elastic behavior, plastic behavior, high-temperature creep, fatigue, fracture, metals, polymers, ceramics, intermetallics.

Chemical Engineering :

Chemical engineering fundamentals, Physical, Theoretical and Computational Chemistry, Chemical engineering educational challenges and development, Chemical reaction engineering, Chemical engineering equipment design and process design, Thermodynamics, Catalysis & reaction engineering, Particulate systems, Rheology, Multifase flows, Interfacial & colloidal phenomena, Transport phenomena in porous/granular media, Membranes and membrane science, Crystallization, distillation, absorption and extraction, Ionic liquids/electrolyte solutions.

Food Engineering :

Food science, Food engineering, Food microbiology, Food packaging, Food preservation, Food technology, Aseptic processing, Food fortification, Food rheology, Dietary supplement, Food safety, Food chemistry.

Physics Section:

Astrophysics, Atomic and molecular physics, Biophysics, Chemical physics, Civil engineering, Cluster physics, Computational physics, Condensed matter, Cosmology, Device physics, Fluid dynamics, Geophysics, High energy particle physics, Laser, Mechanical engineering, Medical physics, Nanotechnology, Nonlinear science, Nuclear physics, Optics, Photonics, Plasma and fluid physics, Quantum physics, Robotics, Soft matter and polymers.

Mathematics Section:

Actuarial science, Algebra, Algebraic geometry, Analysis and advanced calculus, Approximation theory, Boundry layer theory, Calculus of variations, Combinatorics, Complex analysis, Continuum mechanics, Cryptography, Demography, Differential equations, Differential geometry, Dynamical systems, Econometrics, Fluid mechanics, Functional analysis, Game theory, General topology, Geometry, Graph theory, Group theory, Industrial mathematics, Information theory, Integral transforms and integral equations, Lie algebras, Logic, Magnetohydrodynamics, Mathematical analysis.
our latest Journal

Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology

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  • Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology
Review and Paradigm Reseach on Safety Facility Design for Road Intersections Based on Mapping Knowledge Domain

Construction safety accidents seriously threaten the lives and health of employees; however, the complexity of construction safety problems continues to increase. Network approaches have been widely applied to address accident mechanics. This study aims to review related studies on construction safety and occupational health (CSOH) and summarize the research paradigm of recent decades. We solic
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  • Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology
Image style transfer via curved stroke rendering

The goal of the image style transfer algorithm is to render the content of one image with the style of another image. Image style transfer methods can be divided into traditional and neural style transfer methods. Traditional style transfer methods can be broadly classified to stroke-based rendering (SBR) and image analogy (IA). SBR simulates human drawings with different sizes of strokes. Mean
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  • JBUT-04-09-2025-6105
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Motion deblurring based on deep feature fusion attention and double-scale

When taking an image, the image tends to come out blurred due to interferences from shaky or out of focus lenses, dust, or atmospheric light. Image blurs can be categorized into atmospheric, defocus, and motion blurs. The most common type of blur is motion blur, which is caused by jittering objects during shooting and has a great impact on computer vision tasks, such as image classification, ob
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  • JBUT-04-09-2025-6104
  • Beijing Gongye Daxue Xuebao / Journal of Beijing University of Technology
Aspect-level multimodal co-attention graph convolutional sentiment analysis model

Aspect-level multimodal sentiment analysis, which aims to predict the sentiment polarity of specific aspects mentioned in multimodal data, is gaining increasing attention. However, current methods often fail to adequately consider the directional role of aspect terms in context modeling and fine-grained alignment across modalities, limiting the performance of aspect-level multimodal sentiment a
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  • JBUT-04-09-2025-6103
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A survey on adversarial training for robust learning

In the past years, deep neural networks (DNN) have become popular in many disciplines such as computer vision (CV), natural language processing (NLP), etc. The evolution of hardware has helped researchers to develop many powerful Deep Learning (DL) models to face numerous challenging problems. One of the most important challenges in the CV area is Medical Image Analysis in which DL models proce
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