Computers in Industry

Papers
(The TQCC of Computers in Industry is 22. 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
Improved faster R-CNN for fabric defect detection based on Gabor filter with Genetic Algorithm optimization122
Managing the barriers of Industry 4.0 adoption and implementation in textile and clothing industry: Interpretive structural model and triple helix framework122
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
Blockchain-enabled cyber-physical smart modular integrated construction70
SMEs and Industry 4.0: Two case studies of digitalization for a smoother integration70
A survey on smart farming data, applications and techniques69
A lightweight deep learning algorithm for inspection of laser welding defects on safety vent of power battery64
Deep learning-based object detection in augmented reality: A systematic review64
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
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems58
Business Process Management: The evolution of a discipline58
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
A lightweight detector based on attention mechanism for aluminum strip surface defect detection55
Big data analytics: Implementation challenges in Indian manufacturing supply chains55
Blockchain for energy sharing and trading in distributed prosumer communities55
Technology enablers for the implementation of Industry 4.0 to traditional manufacturing sectors: A review54
Data science for engineering design: State of the art and future directions52
Towards Zero Defect Manufacturing paradigm: A review of the state-of-the-art methods and open challenges52
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
Enterprise modelling: Research review and outlook43
A Middleware Platform for Intelligent Automation: An Industrial Prototype Implementation43
Data-driven value creation in Smart Product-Service System design: State-of-the-art and research directions43
A digital twin approach for tunnel construction safety early warning and management42
Pretrained domain-specific language model for natural language processing tasks in the AEC domain41
Concept design evaluation by using Z-axiomatic design41
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 ontology-based framework to formalize and represent 4D printing knowledge in design40
An approach and decision support tool for forming Industry 4.0 supply chain collaborations39
Deep CNN-based visual defect detection: Survey of current literature38
Lean manufacturing and internet of things – A synergetic or antagonist relationship?38
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
Towards situational aware cyber-physical systems: A security-enhancing use case of blockchain-based digital twins37
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
Measuring the fourth industrial revolution through the Industry 4.0 lens: The relevance of resources, capabilities and the value chain36
Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process35
CACDA: A knowledge graph for a context-aware cognitive design assistant35
Pixel-level tunnel crack segmentation using a weakly supervised annotation approach35
Using business process models for the specification of manufacturing operations35
Aircraft visual inspection: A systematic literature review35
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
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