Computers in Industry

Papers
(The TQCC of Computers in Industry is 23. 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 2021-05-01 to 2025-05-01.)
ArticleCitations
Learning human-process interaction in manual manufacturing job shops through indoor positioning systems541
Deep learning-based digitalization of a part catalog book to generate part specification by a neutral reference data dictionary258
Discovering data spaces: A classification of design options191
Editorial Board188
Forecasting for lead-time period by temporal aggregation: Whether to combine and how182
Selection framework of visualization methods in designing AR industrial task-support systems178
Throughput analysis of conveyor systems involving multiple materials based on capability decomposition161
An ontology for reasoning over engineering textual data stored in FMEA spreadsheet tables141
Wearable and interactive mixed reality solutions for fault diagnosis and assistance in manufacturing systems: Implementation and testing in an aseptic bottling line128
Extraction of dimension requirements from engineering drawings for supporting quality control in production processes118
Digital interoperability and transformation in logistics and supply chain management: Editorial118
An unsupervised approach for health index building and for similarity-based remaining useful life estimation113
Knowledge-Enhanced Spatiotemporal Analysis for Anomaly Detection in Process Manufacturing113
OpenTwins: An open-source framework for the development of next-gen compositional digital twins111
Towards live decision-making for service-based production: Integrated process planning and scheduling with Digital Twins and Deep-Q-Learning111
D3 framework: An evidence-based data-driven design framework for new product service development111
Knowledge-based digital twin system: Using a knowlege-driven approach for manufacturing process modeling108
Editorial Board100
Leveraging asymmetric price limits for financial stability in industrial applications: An agent-based model100
Editorial Board100
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems96
A hybrid data-driven and mechanistic model soft sensor for estimating CO2 concentrations for a carbon capture pilot plant95
Towards an adapted PHM approach: Data quality requirements methodology for fault detection applications92
A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples92
A method for the automated digitalization of fluid circuit diagrams84
EA-GAT: Event aware graph attention network on cyber-physical systems83
Implementation of a scalable platform for real-time monitoring of machine tools81
Fleet Profile: Using visual analytics to prospect logistic solutions in industrial vehicles fleet79
A data-driven, comparative review of the academic literature and news media on blockchain-enabled supply chain management: Trends, gaps, and research needs79
Immersive Virtual Reality for procedural training: Comparing traditional and learning by teaching approaches76
Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks75
A collaborative knowledge-based method for the interactive development of cabin systems in virtual reality72
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 manufacturing71
A new approach to 3D pattern-making for the apparel industry: Graphic coding-based localization68
Real-time detection of surface cracking defects for large-sized stamped parts68
Editorial Board67
Editorial Board67
Streamlining Assembly Instruction Design (S-AID): A comprehensive systematic framework66
A data-driven approach toward a machine- and system-level performance monitoring digital twin for production lines66
A deep transfer learning model for online monitoring of surface roughness in milling with variable parameters62
Trans-Lighter: A light-weight federated learning-based architecture for Remaining Useful Lifetime prediction61
WETA: Automatic taxonomy alignment via word embeddings60
An Open Data Repository for Engineering Design: Using Text Mining with Open Government Data58
A graph-based approach for module library development in industrialized construction58
Detection and localization of fugitive emissions in industrial plants using surveillance cameras58
Mode division-based anomaly detection against integrity and availability attacks in industrial cyber-physical systems56
Integration of industry 4.0 technologies for agri-food supply chain resilience55
Satellite Reference Databases scope and data organization: A literature review52
Linking permissioned blockchain to Internet of Things (IoT)-BIM platform for off-site production management in modular construction50
ICSSIM — A framework for building industrial control systems security testbeds50
Digital twin composition in smart manufacturing via Markov decision processes49
Unlocking inherent values of manufacturing metadata through digital characteristics (DC) alignment49
Multi-scale feature pyramid approach for melt track classification in laser powder bed fusion via coaxial high-speed imaging49
Human Digital Twins: A systematic literature review and concept disambiguation for industry 5.049
Anomaly detection in smart agriculture systems48
The OMiLAB Digital Innovation environment: Agile conceptual models to bridge business value with Digital and Physical Twins for Product-Service Systems development48
Toward Zero Defect Manufacturing with the support of Artificial Intelligence—Insights from an industrial application47
A novel framework for low-contrast and random multi-scale blade casting defect detection by an adaptive global dynamic detection transformer47
Integration of TLS-derived Bridge Information Modeling (BrIM) with a Decision Support System (DSS) for digital twinning and asset management of bridge infrastructures46
Supporting business process variability through declarative process families45
Integrating NLP and context-free grammar for complex rule interpretation towards automated compliance checking45
Process mining beyond workflows44
Editorial Board44
Designing physical systems through a model-based synthesis approach. Example of a Li-ion battery for electrical vehicles43
Operational process monitoring: An object-centric approach43
Evaluating the noise tolerance of Cloud NLP services across Amazon, Microsoft, and Google43
Generation of material handling system alternatives: A constraints satisfaction problem approach43
Monte Carlo Tree Search for online decision making in smart industrial production42
A hierarchical Bayesian regression framework for enabling online reliability estimation and condition-based maintenance through accelerated testing42
Full-cycle data purification strategy for multi-type weld seam classification with few-shot learning41
A reliable and ensemble forecasting model for slow-moving and repairable spare parts: Data mining approach41
Unsupervised neural network-enabled spatial-temporal analytics for data authenticity under environmental smart reporting system40
A comparative study of Augmented Reality rendering techniques for industrial assembly inspection39
A machine-learning based data-oriented pipeline for Prognosis and Health Management Systems39
Empirical mode reconstruction: Preserving intrinsic components in data augmentation for intelligent fault diagnosis of civil aviation hydraulic pumps39
Few-shot semantic segmentation for industrial defect recognition39
An adaptive image enhancement approach for safety monitoring robot under insufficient illumination condition38
Smart contract swarm and multi-branch structure for secure and efficient BIM versioning in blockchain-aided common data environment38
Prediction of obsolescence degree as a function of time: A mathematical formulation38
Question answering models for human–machine interaction in the manufacturing industry38
Model-based data integration along the product & service life cycle supported by digital twinning38
Semi-automatic representation of design code based on knowledge graph for automated compliance checking38
Editorial Board37
Simulation uncertainty determination of single flank rolling tests using monte carlo simulation and skin model shapes for zero defect manufacturing of micro gears37
PLM data transformation: A mesoscopic scale perspective and an industrial case study37
A generic interface and a framework designed for industrial metrology integration for the Internet of Things36
Real-time layer height estimation during multi-layer directed energy deposition using domain adaptive neural networks36
Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples35
Digital Twin Stakeholder Communication: Characteristics, Challenges, and Best Practices35
Advancing photovoltaic system design: An enhanced social learning swarm optimizer with guaranteed stability35
A VGGNet-like approach for classifying and segmenting coal dust particles with overlapping regions35
Application of MES/MOM for Industry 4.0 supply chains: A cross-case analysis35
Sensory augmentation for subsea robot teleoperation34
Automated digital twin generation of manufacturing systems with complex material flows: graph model completion34
The quiet revolution in machine vision - a state-of-the-art survey paper, including historical review, perspectives, and future directions34
Augmented reality-computer vision combination for automatic fatigue crack detection and localization34
TDAD: Self-supervised industrial anomaly detection with a two-stage diffusion model33
Predictive modeling of quality characteristics – A case study with the casting industry33
A method for supporting the transformation of an existing production system with its integrated Enterprise Information Systems (EISs) into a Cyber Physical Production System (CPPS)33
Mapping the hot stamping process through developing distinctive digital characteristics32
Editorial Board32
Industrial safety management in the digital era: Constructing a knowledge graph from near misses32
Customization of incentive mechanisms based on product life-cycle phases for an efficient product-service supply chain coordination32
Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process32
Multi-step attack detection in industrial control systems using causal analysis32
Deep CNN-based visual defect detection: Survey of current literature31
Advancing zero defect manufacturing: A state-of-the-art perspective and future research directions31
A decentralised approach to cyber-physical systems as a service: Managing shared access worldwide through blockchain standards31
Interpretable deep learning approach for tool wear monitoring in high-speed milling31
A lightweight and accurate recognition framework for signs of X-ray weld images30
AYOLOv3-Tiny: An improved convolutional neural network architecture for real-time defect detection of PAD light guide plates30
Improving aircraft conceptual design through parametric CAD modellers – A case study for thermal analysis of aircraft systems29
Simulating dynamic RUL based CBM scheduling. A case study in the railway sector29
Impact of generative artificial intelligence models on the performance of citizen data scientists in retail firms29
A novel agile ontology engineering methodology for supporting organizations in collaborative ontology development29
Predictive analysis-based sustainable waste management in smart cities using IoT edge computing and blockchain technology28
Assessing user performance in augmented reality assembly guidance for industry 4.0 operators28
Dual channel visible graph convolutional neural network for microleakage monitoring of pipeline weld homalographic cracks28
An immersive spatially consistent multi-modal augmented virtuality human-machine interface for telerobotic systems28
A survey on machine learning based analysis of heterogeneous data in industrial automation27
Model-based engineering for designing cyber-physical systems from product specifications27
A novel graph-based missing values imputation method for industrial lubricant data27
A high-precision detection method for coated fuel particles based on improved faster region-based convolutional neural network27
3D scanning method for robotized inspection of industrial sealed parts27
A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing27
SmartPatch: A patch prioritization framework26
Requirements for the application of the Digital Twin Paradigm to offshore wind turbine structures for uncertain fatigue analysis26
Information security and value creation: The performance implications of ISO/IEC 2700126
Industry 4.0 and potential for reshoring: A typology of technology profiles of manufacturing firms26
E-fulfillment cost management in omnichannel retailing: An exploratory study26
Reinforcement learning based trustworthy recommendation model for digital twin-driven decision-support in manufacturing systems26
An efficient firefighting method for robotics: A novel convolution-based lightweight network model guided by contextual features with dual attention26
Editorial Board26
On the application of extended reality technologies for the evaluation of product characteristics during the initial stages of the product development process25
A digital twin system for centrifugal pump fault diagnosis driven by transfer learning based on graph convolutional neural networks25
Detecting coagulation time in cheese making by means of computer vision and machine learning techniques25
The role of interoperability dimensions in building information modelling25
A knowledge recommendation approach in design for multi-material 4D printing based on semantic similarity vector space model and case-based reasoning25
An evaluation of agile Ontology Engineering Methodologies for the digital transformation of companies25
Design representation as semantic networks24
Online validation of digital twins for manufacturing systems24
A novel FuseDecode Autoencoder for industrial visual inspection: Incremental anomaly detection improvement with gradual transition from unsupervised to mixed-supervision learning with reduced human ef24
A railway track reconstruction method using robotic vision on a mobile manipulator: A proposed strategy24
Editorial Board24
Multicriteria decision-making method for scheduling problem based on smart batches and their quality prediction capability24
A new hazard event classification model via deep learning and multifractal24
Editorial Board24
Utilizing domain knowledge in data-driven process discovery: A literature review24
Deep learning based system for garment visual degradation prediction for longevity23
Fabric defect classification using prototypical network of few-shot learning algorithm23
Literature review and methodological framework for integration of IoT and PLM in manufacturing industry23
An industrial agent-based customizable platform for I4.0 manufacturing systems23
Dynamic obstacle avoidance control based on a novel dynamic window approach for agricultural robots23
Self-supervised representation learning anomaly detection methodology based on boosting algorithms enhanced by data augmentation using StyleGAN for manufacturing imbalanced data23
Full-field deformation measurement of structural nodes based on panoramic camera and deep learning-based tracking method23
Extended realities and discrete events simulations: A systematic review to define design trade-offs and directions23
Data-driven failure mode and effect analysis (FMEA) to enhance maintenance planning23
A core reference ontology for steelmaking process knowledge modelling and information management23
Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines23
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