Computers in Industry

Papers
(The median citation count of Computers in Industry is 10. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Digital twin paradigm: A systematic literature review408
Digital Twin for maintenance: A literature review348
Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges272
Blockchain in healthcare: A systematic literature review, synthesizing framework and future research agenda266
A framework to achieve sustainability in manufacturing organisations of developing economies using industry 4.0 technologies’ enablers201
A survey on anomaly detection for technical systems using LSTM networks199
Fault detection and diagnosis for rotating machinery: A model based on convolutional LSTM, Fast Fourier and continuous wavelet transforms194
Maintenance transformation through Industry 4.0 technologies: A systematic literature review168
A double-layer attention based adversarial network for partial transfer learning in machinery fault diagnosis150
Digital technologies in product-service systems: a literature review and a research agenda149
Blockchain-enabled circular supply chain management: A system architecture for fast fashion142
Mixed supervision for surface-defect detection: From weakly to fully supervised learning136
Implementation of digital twins in the process industry: A systematic literature review of enablers and barriers132
Managing the barriers of Industry 4.0 adoption and implementation in textile and clothing industry: Interpretive structural model and triple helix framework122
Improved faster R-CNN for fabric defect detection based on Gabor filter with Genetic Algorithm optimization122
An investigation into emerging industry 4.0 technologies as drivers of supply chain innovation in Australia113
Cybersecurity awareness in the context of the Industrial Internet of Things: A systematic literature review110
A framework for data-driven digital twins of smart manufacturing systems109
Development of manufacturing execution systems in accordance with Industry 4.0 requirements: A review of standard- and ontology-based methodologies and tools105
Advancing zero defect manufacturing: A state-of-the-art perspective and future research directions104
Building information modeling (BIM)-based modular integrated construction risk management – Critical survey and future needs97
Detecting cyberattacks using anomaly detection in industrial control systems: A Federated Learning approach94
Two-layer Adaptive Blockchain-based Supervision model for off-site modular housing production92
An Augmented Reality inspection tool to support workers in Industry 4.0 environments91
Digital twin-enabled smart modular integrated construction system for on-site assembly88
The quiet revolution in machine vision - a state-of-the-art survey paper, including historical review, perspectives, and future directions88
A survey of machine-learning techniques for condition monitoring and predictive maintenance of bearings in grinding machines84
Design of a reference architecture for developing smart warehouses in industry 4.083
Digital twins: An analysis framework and open issues81
Linking permissioned blockchain to Internet of Things (IoT)-BIM platform for off-site production management in modular construction80
Digital transformation capability maturity model enabling the assessment of industrial manufacturers80
Autonomous, context-aware, adaptive Digital Twins—State of the art and roadmap78
A review of vision-aided robotic welding77
Exploiting knowledge graphs in industrial products and services: A survey of key aspects, challenges, and future perspectives76
Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards Physical Internet76
Developing a personalized recommendation system in a smart product service system based on unsupervised learning model74
Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks72
SMEs and Industry 4.0: Two case studies of digitalization for a smoother integration70
Blockchain-enabled cyber-physical smart modular integrated construction70
A survey on smart farming data, applications and techniques69
Deep learning-based object detection in augmented reality: A systematic review64
A lightweight deep learning algorithm for inspection of laser welding defects on safety vent of power battery64
Cas-VSwin transformer: A variant swin transformer for surface-defect detection63
End-to-end industrial IoT platform for Quality 4.0 applications62
Optimisation of the resource efficiency of food manufacturing via the Internet of Things61
Systemic formalisation of Cyber-Physical-Social System (CPSS): A systematic literature review59
Business Process Management: The evolution of a discipline58
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems58
Data-driven failure mode and effect analysis (FMEA) to enhance maintenance planning57
MYOLOv3-Tiny: A new convolutional neural network architecture for real-time detection of track fasteners56
Blockchain for energy sharing and trading in distributed prosumer communities55
A lightweight detector based on attention mechanism for aluminum strip surface defect detection55
Big data analytics: Implementation challenges in Indian manufacturing supply chains55
Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review54
Towards Zero Defect Manufacturing paradigm: A review of the state-of-the-art methods and open challenges52
Data science for engineering design: State of the art and future directions52
Hybrid physics-informed neural networks for main bearing fatigue prognosis with visual grease inspection51
Sustainable building design: Analysing the feasibility of BIM platforms to support practical building sustainability assessment50
The biggest business process management problems to solve before we die49
A digital twin hierarchy for metal additive manufacturing48
Heterogeneous and dependable networks in industry – A survey47
Blockchain supported BIM data provenance for construction projects47
Utilizing safety rule correlation for mobile scaffolds monitoring leveraging deep convolution neural networks47
Digital transformation of maritime logistics: Exploring trends in the liner shipping segment46
Exploring the use of AR technology for co-creative product and packaging design46
Threat modelling for industrial cyber physical systems in the era of smart manufacturing45
The architectural design and implementation of a digital platform for Industry 4.0 SME collaboration44
Data-driven value creation in Smart Product-Service System design: State-of-the-art and research directions43
Enterprise modelling: Research review and outlook43
A Middleware Platform for Intelligent Automation: An Industrial Prototype Implementation43
A digital twin approach for tunnel construction safety early warning and management42
Concept design evaluation by using Z-axiomatic design41
Pretrained domain-specific language model for natural language processing tasks in the AEC domain41
An ontology-based framework to formalize and represent 4D printing knowledge in design40
Integrating NLP and context-free grammar for complex rule interpretation towards automated compliance checking40
Designing solutions with the product-service systems digital twin: What is now and what is next?40
An approach and decision support tool for forming Industry 4.0 supply chain collaborations39
Lean manufacturing and internet of things – A synergetic or antagonist relationship?38
Deep CNN-based visual defect detection: Survey of current literature38
Towards situational aware cyber-physical systems: A security-enhancing use case of blockchain-based digital twins37
Human-centric zero-defect manufacturing: State-of-the-art review, perspectives, and challenges37
Reinforcement learning for industrial process control: A case study in flatness control in steel industry37
Measuring the fourth industrial revolution through the Industry 4.0 lens: The relevance of resources, capabilities and the value chain36
A deep reinforcement learning based multi-criteria decision support system for optimizing textile chemical process36
Technical Sentiment Analysis. Measuring Advantages and Drawbacks of New Products Using Social Media36
Aircraft visual inspection: A systematic literature review35
CACDA: A knowledge graph for a context-aware cognitive design assistant35
Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process35
Using business process models for the specification of manufacturing operations35
Pixel-level tunnel crack segmentation using a weakly supervised annotation approach35
Towards the adoption of virtual reality training systems for the self-tuition of industrial robot operators: A case study at KUKA35
Context-awareness for the design of Smart-product service systems: Literature review35
The Critical Success Factors for Robotic Process Automation34
Waste management: A comprehensive state of the art about the rise of blockchain technology34
Orchestrating product provenance story: When IOTA ecosystem meets electronics supply chain space34
Towards fully BIM-enabled building automation and robotics: A perspective of lifecycle information flow33
Stable and explainable deep learning damage prediction for prismatic cantilever steel beam33
Deep-learning-based retrieval of piping component catalogs for plant 3D CAD model reconstruction33
Coupling data-driven and model-based methods to improve fault diagnosis33
Towards an adapted PHM approach: Data quality requirements methodology for fault detection applications33
Conceptualizing customer value in data-driven services and smart PSS33
Integrating BIM and Blockchain across construction lifecycle and supply chains33
Multiple perspectives on analyzing risk factors in FMEA33
A novel information processing method based on an ensemble of Auto-Encoders for unsupervised fault detection32
Integrated and adaptive AR maintenance and shop-floor rescheduling31
A spatial multi-resolution multi-objective data-driven ensemble model for multi-step air quality index forecasting based on real-time decomposition31
Multiscale dynamic fusion prototypical cluster network for fault diagnosis of planetary gearbox under few labeled samples31
From forest to finished products: The contribution of Industry 4.0 technologies to the wood sector30
Interpretable deep learning approach for tool wear monitoring in high-speed milling30
Empirical mode reconstruction: Preserving intrinsic components in data augmentation for intelligent fault diagnosis of civil aviation hydraulic pumps30
A catalogue of digital solution areas for prioritising the needs of manufacturing SMEs30
Utilizing domain knowledge in data-driven process discovery: A literature review29
A stacking ensemble classifier with handcrafted and convolutional features for wafer map pattern classification29
Deep learning-based visual control assistant for assembly in Industry 4.029
Building A blockchain-based decentralized digital asset management system for commercial aircraft leasing29
Wearable and interactive mixed reality solutions for fault diagnosis and assistance in manufacturing systems: Implementation and testing in an aseptic bottling line29
Synchromodal transportation planning using travel time information28
WaferSegClassNet - A light-weight network for classification and segmentation of semiconductor wafer defects28
A feature fusion enhanced multiscale CNN with attention mechanism for spot-welding surface appearance recognition27
Online tool wear monitoring by super-resolution based machine vision27
Chaos theory using density of maxima applied to the diagnosis of three-phase induction motor bearings failure by sound analysis27
Circular production and maintenance of automotive parts: An Internet of Things (IoT) data framework and practice review27
An accurate fuzzy measure-based detection method for various types of defects on strip steel surfaces26
Patent infringement analysis using a text mining technique based on SAO structure26
A cloud-based condition monitoring system for fault detection in rotating machines using PROFINET process data26
A weakly-supervised approach for flower/fruit counting in apple orchards26
Text mining tool for translating terms of contract into technical specifications: Development and application in the railway sector25
A novel knowledge graph development for industry design: A case study on indirect coal liquefaction process25
BIM-CAREM: Assessing the BIM capabilities of design, construction and facilities management processes in the construction industry25
Zero Defect Manufacturing ontology: A preliminary version based on standardized terms25
Using text mining to retrieve information about circular economy25
The main trends for multi-tier supply chain in Industry 4.0 based on Natural Language Processing24
Asynchronous industrial collaboration: How virtual reality and virtual tools aid the process of maintenance method development and documentation creation24
Cognitive analytics platform with AI solutions for anomaly detection24
Toward Zero Defect Manufacturing with the support of Artificial Intelligence—Insights from an industrial application24
A collaborative network of digital twins for anomaly detection applications of complex systems. Snitch Digital Twin concept24
Chisel edge wear measurement of high-speed steel twist drills based on machine vision24
Integration of TLS-derived Bridge Information Modeling (BrIM) with a Decision Support System (DSS) for digital twinning and asset management of bridge infrastructures24
Fabric defect classification using prototypical network of few-shot learning algorithm24
Forecasting of iron ore sintering quality index: A latent variable method with deep inner structure24
Multi-task learning of classification and denoising (MLCD) for noise-robust rotor system diagnosis24
A flexible configuration method of distributed manufacturing resources in the context of social manufacturing24
A generic interface and a framework designed for industrial metrology integration for the Internet of Things23
The role of interoperability dimensions in building information modelling23
AYOLOv3-Tiny: An improved convolutional neural network architecture for real-time defect detection of PAD light guide plates23
An information architecture to enable track-and-trace capability in Physical Internet ports23
Toward the industry 5.0 paradigm: Increasing value creation through the robust integration of humans and machines23
Anomaly detection in smart agriculture systems23
A survey on machine learning based analysis of heterogeneous data in industrial automation23
A two-step machine learning approach for dynamic model selection: A case study on a micro milling process22
Computational framework for real-time diagnostics and prognostics of aircraft actuation systems22
A machine learning framework with dataset-knowledgeability pre-assessment and a local decision-boundary crispness score: An industry 4.0-based case study on composite autoclave manufacturing22
Developing a framework for designing humanitarian blockchain projects22
Towards the implementation of Industry 4.0: A methodology-based approach oriented to the customer life cycle22
Literature review and methodological framework for integration of IoT and PLM in manufacturing industry22
A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing22
ENIGMA: An explainable digital twin security solution for cyber–physical systems22
Model-based data integration along the product & service life cycle supported by digital twinning22
The OMiLAB Digital Innovation environment: Agile conceptual models to bridge business value with Digital and Physical Twins for Product-Service Systems development22
Enhancing Industry 4.0 standards interoperability via knowledge graphs with natural language processing22
Towards a continuous certification of safety-critical avionics software21
Immersive Virtual Reality for procedural training: Comparing traditional and learning by teaching approaches21
Regional innovation capability from a technology-oriented perspective: An analysis at industry level21
Impact of blockchain and distributed ledger technology for the management of the intellectual property life cycle: A multiple case study analysis21
A computer vision based online quality control system for textile yarns21
Requirements and design patterns for adaptive, autonomous, and context-aware digital twins in industry 4.0 digital factories21
Planning for automatic product assembly using reinforcement learning21
Domain Adversarial Neural Network Regression to design transferable soft sensor in a power plant21
Development of an immersive SLAM-based VR system for teleoperation of a mobile manipulator in an unknown environment21
Toward a sustainable educational engineer archetype through Industry 4.020
Sensory augmentation for subsea robot teleoperation20
Anomaly detection method based on the deep knowledge behind behavior patterns in industrial components. Application to a hydropower plant20
Optimizing fused deposition modelling parameters based on the design for additive manufacturing to enhance product sustainability20
Combining deep learning with knowledge graph for macro process planning20
Demystifying the digital transition of remanufacturing: A systematic review of literature19
Application of the Digital Twin for in process monitoring of the micro injection moulding process quality19
Extraction of dimension requirements from engineering drawings for supporting quality control in production processes19
A design framework for a system of digital twins and services19
A global survey on the current state of practice in Zero Defect Manufacturing and its impact on production performance19
Maintenance concepts evolution: a comparative review towards Advanced Maintenance conceptualization19
Industrial anomaly detection with domain shift: A real-world dataset and masked multi-scale reconstruction19
MEET-LM: A method for embeddings evaluation for taxonomic data in the labour market19
Parallel implementation of metaheuristics for optimizing tool path computation on CNC machining19
Graph neural network-enabled manufacturing method classification from engineering drawings18
MiniCrack: A simple but efficient convolutional neural network for pixel-level narrow crack detection18
Evaluating the benefits of a computer-aided software engineering tool to develop and document product configuration systems18
Designing CBM Plans, Based on Predictive Analytics and Big Data Tools, for Train Wheel Bearings18
Modularization of smart product service: A framework integrating smart product service blueprint and weighted complex network18
Harmonising and integrating the Digital Twins multiverse: A paradigm and a toolset proposal18
OCRA – An ontology for collaborative robotics and adaptation18
Mode division-based anomaly detection against integrity and availability attacks in industrial cyber-physical systems18
Virtual sensors for erroneous data repair in manufacturing a machine learning pipeline18
Optimization of fused deposition modeling process using a virus-evolutionary genetic algorithm18
Multiple degradation mode analysis via gated recurrent unit mode recognizer and life predictors for complex equipment18
A data-driven, comparative review of the academic literature and news media on blockchain-enabled supply chain management: Trends, gaps, and research needs18
Smart contract swarm and multi-branch structure for secure and efficient BIM versioning in blockchain-aided common data environment17
Data-driven fault detection process using correlation based clustering17
Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection17
Managing cybersecurity risks of cyber-physical systems: The MARISMA-CPS pattern17
A data model for collaborative manufacturing environments17
A review of reference architectures for digital manufacturing: Classification, applicability and open issues17
A railway track reconstruction method using robotic vision on a mobile manipulator: A proposed strategy17
Deceiving AI-based malware detection through polymorphic attacks17
Digital twin composition in smart manufacturing via Markov decision processes17
A critical study of the existing issues in manufacturing maintenance systems: Can BIM fill the gap?17
Empowering employees in industrial organizations with IoT in their daily operations17
From technology enablers to circular economy: Data-driven understanding of the overview of servitization and product–service systems in Industry 4.016
A hybrid data-driven and mechanistic model soft sensor for estimating CO2 concentrations for a carbon capture pilot plant16
Multi-source domain adaptation for quality control in retail food packaging16
Designing complex manufacturing systems by virtual reality: A novel approach and its application to the virtual commissioning of a production line16
In-situ or side-by-side? A user study on augmented reality maintenance instructions in blind areas16
STEWART: STacking Ensemble for White-Box AdversaRial Attacks Towards more resilient data-driven predictive maintenance16
An integrated framework for automatic ontology learning from unstructured repair text data for effective fault detection and isolation in automotive domain16
An evaluation of agile Ontology Engineering Methodologies for the digital transformation of companies16
Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case16
Predictability of mechanical behavior of additively manufactured particulate composites using machine learning and data-driven approaches16
Reactive synthesis of software robots in RPA from user interface logs15
Blockchain-enabled digital assets tokenization for cyber-physical traceability in E-commerce logistics financing15
C-Ports: A proposal for a comprehensive standardization and implementation plan of digital services offered by the “Port of the Future”15
Digital connectivity in an innovative joint distribution system with real-time demand update15
In-situ fault detection for the spindle motor of CNC machines via multi-stage residual fusion convolution neural networks15
A Wasserstein generative digital twin model in health monitoring of rotating machines15
On the application of extended reality technologies for the evaluation of product characteristics during the initial stages of the product development process15
Machine learning and multiresolution decomposition for embedded applications to detect short-circuit in induction motors15
Analyzing the potential of virtual reality-supported training for industrial assembly tasks15
Augmented reality-computer vision combination for automatic fatigue crack detection and localization15
Patent-trademark linking framework for business competition analysis15
Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines15
ICSSIM — A framework for building industrial control systems security testbeds15
Fermentation 4.0, a case study on computer vision, soft sensor, connectivity, and control applied to the fermentation of a thraustochytrid15
Trans-Lighter: A light-weight federated learning-based architecture for Remaining Useful Lifetime prediction15
Industrial safety management in the digital era: Constructing a knowledge graph from near misses15
Cost-efficient digital twins for design space exploration: A modular platform approach15
Computer-aided process planning in immersive environments: A critical review15
Fuzzy-inference-based decision-making method for the systematization of statistical process capability control15
A decision-support tool for risk and complexity assessment and visualization in construction projects15
Data-driven and autonomous manufacturing control in cyber-physical production systems15
Smart already at design time – Pattern-based smart service innovation in manufacturing15
A structure-function knowledge extraction method for bio-inspired design15
Automatic machining feature recognition based on MBD and process semantics14
Discovering new business opportunities with dependent semantic parsers14
A method for degradation prediction based on Hidden semi-Markov models with mixture of Kernels14
Interactive Process Automation based on lightweight object detection in manufacturing processes14
Multicriteria decision-making method for scheduling problem based on smart batches and their quality prediction capability14
A novel application of deep transfer learning with audio pre-trained models in pump audio fault detection14
Vertical data continuity with lean edge analytics for industry 4.0 production14
A core reference ontology for steelmaking process knowledge modelling and information management14
An unsupervised approach for health index building and for similarity-based remaining useful life estimation14
Digital interoperability and transformation in logistics and supply chain management: Editorial14
An ontology for reasoning over engineering textual data stored in FMEA spreadsheet tables14
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