Computers in Industry

Papers
(The TQCC of Computers in Industry is 24. 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 2021-07-01 to 2025-07-01.)
ArticleCitations
Deep learning-based digitalization of a part catalog book to generate part specification by a neutral reference data dictionary577
Discovering data spaces: A classification of design options276
Throughput analysis of conveyor systems involving multiple materials based on capability decomposition211
Editorial Board195
Research on autonomous positioning and adaptive compliant plugging strategies of intelligent charging robots187
Forecasting for lead-time period by temporal aggregation: Whether to combine and how180
Selection framework of visualization methods in designing AR industrial task-support systems150
Extraction of dimension requirements from engineering drawings for supporting quality control in production processes133
Learning human-process interaction in manual manufacturing job shops through indoor positioning systems129
Digital interoperability and transformation in logistics and supply chain management: Editorial125
Editorial Board125
D3 framework: An evidence-based data-driven design framework for new product service development125
An ontology for reasoning over engineering textual data stored in FMEA spreadsheet tables125
Editorial Board120
Leveraging asymmetric price limits for financial stability in industrial applications: An agent-based model117
Knowledge-Enhanced Spatiotemporal Analysis for Anomaly Detection in Process Manufacturing110
An unsupervised approach for health index building and for similarity-based remaining useful life estimation107
Knowledge-based digital twin system: Using a knowlege-driven approach for manufacturing process modeling100
A hybrid data-driven and mechanistic model soft sensor for estimating CO2 concentrations for a carbon capture pilot plant97
Towards live decision-making for service-based production: Integrated process planning and scheduling with Digital Twins and Deep-Q-Learning96
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems90
A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples90
OpenTwins: An open-source framework for the development of next-gen compositional digital twins88
A method for the automated digitalization of fluid circuit diagrams85
EA-GAT: Event aware graph attention network on cyber-physical systems84
Streamlining Assembly Instruction Design (S-AID): A comprehensive systematic framework81
Fleet Profile: Using visual analytics to prospect logistic solutions in industrial vehicles fleet81
Immersive Virtual Reality for procedural training: Comparing traditional and learning by teaching approaches77
A new approach to 3D pattern-making for the apparel industry: Graphic coding-based localization76
Real-time detection of surface cracking defects for large-sized stamped parts72
Editorial Board69
A data-driven approach toward a machine- and system-level performance monitoring digital twin for production lines69
Editorial Board68
Implementation of a scalable platform for real-time monitoring of machine tools67
A deep transfer learning model for online monitoring of surface roughness in milling with variable parameters65
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 manufacturing64
Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks62
A data-driven, comparative review of the academic literature and news media on blockchain-enabled supply chain management: Trends, gaps, and research needs62
Trans-Lighter: A light-weight federated learning-based architecture for Remaining Useful Lifetime prediction61
A collaborative knowledge-based method for the interactive development of cabin systems in virtual reality60
Detection and localization of fugitive emissions in industrial plants using surveillance cameras57
An Open Data Repository for Engineering Design: Using Text Mining with Open Government Data56
Satellite Reference Databases scope and data organization: A literature review56
Multi-scale feature pyramid approach for melt track classification in laser powder bed fusion via coaxial high-speed imaging55
Toward Zero Defect Manufacturing with the support of Artificial Intelligence—Insights from an industrial application54
The OMiLAB Digital Innovation environment: Agile conceptual models to bridge business value with Digital and Physical Twins for Product-Service Systems development52
Anomaly detection in smart agriculture systems52
WETA: Automatic taxonomy alignment via word embeddings52
Unlocking inherent values of manufacturing metadata through digital characteristics (DC) alignment52
ICSSIM — A framework for building industrial control systems security testbeds51
Human Digital Twins: A systematic literature review and concept disambiguation for industry 5.051
Integration of TLS-derived Bridge Information Modeling (BrIM) with a Decision Support System (DSS) for digital twinning and asset management of bridge infrastructures50
Linking permissioned blockchain to Internet of Things (IoT)-BIM platform for off-site production management in modular construction50
Digital twin composition in smart manufacturing via Markov decision processes50
Mode division-based anomaly detection against integrity and availability attacks in industrial cyber-physical systems50
A graph-based approach for module library development in industrialized construction50
Integration of industry 4.0 technologies for agri-food supply chain resilience47
A novel framework for low-contrast and random multi-scale blade casting defect detection by an adaptive global dynamic detection transformer47
Integrating NLP and context-free grammar for complex rule interpretation towards automated compliance checking46
Editorial Board45
Supporting business process variability through declarative process families45
Designing physical systems through a model-based synthesis approach. Example of a Li-ion battery for electrical vehicles44
Generation of material handling system alternatives: A constraints satisfaction problem approach44
Process mining beyond workflows43
An adaptive image enhancement approach for safety monitoring robot under insufficient illumination condition42
Full-cycle data purification strategy for multi-type weld seam classification with few-shot learning42
Question answering models for human–machine interaction in the manufacturing industry42
A reliable and ensemble forecasting model for slow-moving and repairable spare parts: Data mining approach41
Few-shot semantic segmentation for industrial defect recognition41
Unsupervised neural network-enabled spatial-temporal analytics for data authenticity under environmental smart reporting system41
Prediction of obsolescence degree as a function of time: A mathematical formulation40
Smart contract swarm and multi-branch structure for secure and efficient BIM versioning in blockchain-aided common data environment40
A comparative study of Augmented Reality rendering techniques for industrial assembly inspection40
Model-based data integration along the product & service life cycle supported by digital twinning40
Evaluating the noise tolerance of Cloud NLP services across Amazon, Microsoft, and Google39
Operational process monitoring: An object-centric approach39
A machine-learning based data-oriented pipeline for Prognosis and Health Management Systems39
A hierarchical Bayesian regression framework for enabling online reliability estimation and condition-based maintenance through accelerated testing39
Semi-automatic representation of design code based on knowledge graph for automated compliance checking39
Editorial Board38
Empirical mode reconstruction: Preserving intrinsic components in data augmentation for intelligent fault diagnosis of civil aviation hydraulic pumps38
The quiet revolution in machine vision - a state-of-the-art survey paper, including historical review, perspectives, and future directions37
Application of MES/MOM for Industry 4.0 supply chains: A cross-case analysis37
Digital Twin Stakeholder Communication: Characteristics, Challenges, and Best Practices37
Advancing photovoltaic system design: An enhanced social learning swarm optimizer with guaranteed stability37
Automated digital twin generation of manufacturing systems with complex material flows: graph model completion37
Real-time layer height estimation during multi-layer directed energy deposition using domain adaptive neural networks36
PLM data transformation: A mesoscopic scale perspective and an industrial case study36
A VGGNet-like approach for classifying and segmenting coal dust particles with overlapping regions36
A generic interface and a framework designed for industrial metrology integration for the Internet of Things36
Sensory augmentation for subsea robot teleoperation35
Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples34
Simulation uncertainty determination of single flank rolling tests using monte carlo simulation and skin model shapes for zero defect manufacturing of micro gears34
Predictive modeling of quality characteristics – A case study with the casting industry34
Editorial Board33
Customization of incentive mechanisms based on product life-cycle phases for an efficient product-service supply chain coordination33
State estimation for industrial desiccant air dryers using hybrid mechanistic and machine learning models33
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
Augmented reality-computer vision combination for automatic fatigue crack detection and localization33
A decentralised approach to cyber-physical systems as a service: Managing shared access worldwide through blockchain standards33
Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process32
Mapping the hot stamping process through developing distinctive digital characteristics32
TDAD: Self-supervised industrial anomaly detection with a two-stage diffusion model32
An immersive spatially consistent multi-modal augmented virtuality human-machine interface for telerobotic systems31
Deep CNN-based visual defect detection: Survey of current literature31
Interpretable deep learning approach for tool wear monitoring in high-speed milling31
Multi-step attack detection in industrial control systems using causal analysis31
Industrial safety management in the digital era: Constructing a knowledge graph from near misses31
Simulating dynamic RUL based CBM scheduling. A case study in the railway sector31
AYOLOv3-Tiny: An improved convolutional neural network architecture for real-time defect detection of PAD light guide plates31
Advancing zero defect manufacturing: A state-of-the-art perspective and future research directions31
Improving aircraft conceptual design through parametric CAD modellers – A case study for thermal analysis of aircraft systems30
A novel graph-based missing values imputation method for industrial lubricant data30
A high-precision detection method for coated fuel particles based on improved faster region-based convolutional neural network30
Model-based engineering for designing cyber-physical systems from product specifications30
A survey on machine learning based analysis of heterogeneous data in industrial automation29
Predictive analysis-based sustainable waste management in smart cities using IoT edge computing and blockchain technology29
Dual channel visible graph convolutional neural network for microleakage monitoring of pipeline weld homalographic cracks29
A novel agile ontology engineering methodology for supporting organizations in collaborative ontology development29
UGP-KD: An unsupervised generalized prediction framework for robot machining quality under historical task knowledge distillation for new tasks29
A lightweight and accurate recognition framework for signs of X-ray weld images29
A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing29
3D scanning method for robotized inspection of industrial sealed parts29
Impact of generative artificial intelligence models on the performance of citizen data scientists in retail firms28
A knowledge recommendation approach in design for multi-material 4D printing based on semantic similarity vector space model and case-based reasoning28
Assessing user performance in augmented reality assembly guidance for industry 4.0 operators28
An efficient firefighting method for robotics: A novel convolution-based lightweight network model guided by contextual features with dual attention28
Multicriteria decision-making method for scheduling problem based on smart batches and their quality prediction capability27
The role of interoperability dimensions in building information modelling27
Reinforcement learning based trustworthy recommendation model for digital twin-driven decision-support in manufacturing systems27
An evaluation of agile Ontology Engineering Methodologies for the digital transformation of companies27
A railway track reconstruction method using robotic vision on a mobile manipulator: A proposed strategy27
Utilizing domain knowledge in data-driven process discovery: A literature review27
A novel FuseDecode Autoencoder for industrial visual inspection: Incremental anomaly detection improvement with gradual transition from unsupervised to mixed-supervision learning with reduced human ef27
A new hazard event classification model via deep learning and multifractal27
Requirements for the application of the Digital Twin Paradigm to offshore wind turbine structures for uncertain fatigue analysis26
E-fulfillment cost management in omnichannel retailing: An exploratory study26
Information security and value creation: The performance implications of ISO/IEC 2700126
On the application of extended reality technologies for the evaluation of product characteristics during the initial stages of the product development process26
Detecting coagulation time in cheese making by means of computer vision and machine learning techniques26
Industry 4.0 and potential for reshoring: A typology of technology profiles of manufacturing firms26
SmartPatch: A patch prioritization framework26
Design representation as semantic networks26
An industrial agent-based customizable platform for I4.0 manufacturing systems25
Editorial Board25
Dynamic obstacle avoidance control based on a novel dynamic window approach for agricultural robots25
A digital twin system for centrifugal pump fault diagnosis driven by transfer learning based on graph convolutional neural networks25
FCSNet: A quantitative explanation method for surface scratch defects during belt grinding based on deep learning25
Fabric defect classification using prototypical network of few-shot learning algorithm25
Full-field deformation measurement of structural nodes based on panoramic camera and deep learning-based tracking method24
Self-supervised representation learning anomaly detection methodology based on boosting algorithms enhanced by data augmentation using StyleGAN for manufacturing imbalanced data24
Deep learning based system for garment visual degradation prediction for longevity24
A core reference ontology for steelmaking process knowledge modelling and information management24
Editorial Board24
Online validation of digital twins for manufacturing systems24
Extended realities and discrete events simulations: A systematic review to define design trade-offs and directions24
Literature review and methodological framework for integration of IoT and PLM in manufacturing industry24
Editorial Board24
A blockchain-enabled deep residual architecture for accountable, in-situ quality control in industry 4.0 with minimal latency24
Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines24
Data-driven and autonomous manufacturing control in cyber-physical production systems24
Data-driven failure mode and effect analysis (FMEA) to enhance maintenance planning24
Obituary24
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