Computers in Industry

Papers
(The TQCC of Computers in Industry is 28. 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 2021-11-01 to 2025-11-01.)
ArticleCitations
Editorial Board225
Learning human-process interaction in manual manufacturing job shops through indoor positioning systems205
Selection framework of visualization methods in designing AR industrial task-support systems200
An ontology-based retrieval augmented generation procedure for a voice-controlled maintenance assistant169
Research on autonomous positioning and adaptive compliant plugging strategies of intelligent charging robots152
Throughput analysis of conveyor systems involving multiple materials based on capability decomposition152
SRLFormer: Single Retinex-based and low-light image guidance Transformer for low-light image enhancement146
Forecasting for lead-time period by temporal aggregation: Whether to combine and how145
Discovering data spaces: A classification of design options144
Deep learning-based digitalization of a part catalog book to generate part specification by a neutral reference data dictionary144
Leveraging asymmetric price limits for financial stability in industrial applications: An agent-based model129
D3 framework: An evidence-based data-driven design framework for new product service development124
Towards live decision-making for service-based production: Integrated process planning and scheduling with Digital Twins and Deep-Q-Learning119
A hybrid data-driven and mechanistic model soft sensor for estimating CO2 concentrations for a carbon capture pilot plant119
Knowledge-based digital twin system: Using a knowlege-driven approach for manufacturing process modeling112
Editorial Board106
Editorial Board104
OpenTwins: An open-source framework for the development of next-gen compositional digital twins103
An unsupervised approach for health index building and for similarity-based remaining useful life estimation98
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems97
Knowledge-Enhanced Spatiotemporal Analysis for Anomaly Detection in Process Manufacturing95
A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples92
Industrial Internet of Things: Implementations, challenges, and potential solutions across various industries89
A method for the automated digitalization of fluid circuit diagrams81
EA-GAT: Event aware graph attention network on cyber-physical systems81
An agent-based approach for the automatic generation of valid SysMLv2 Models in industrial contexts80
A novel interval-valued carbon price forecasting paradigm: multi-factor intelligent recognition-based ensemble learning79
Editorial Board74
Fleet Profile: Using visual analytics to prospect logistic solutions in industrial vehicles fleet74
Editorial Board74
Implementation of a scalable platform for real-time monitoring of machine tools67
A data-driven approach toward a machine- and system-level performance monitoring digital twin for production lines67
Real-time detection of surface cracking defects for large-sized stamped parts67
A collaborative knowledge-based method for the interactive development of cabin systems in virtual reality66
A new approach to 3D pattern-making for the apparel industry: Graphic coding-based localization66
Streamlining Assembly Instruction Design (S-AID): A comprehensive systematic framework65
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
A data-driven, comparative review of the academic literature and news media on blockchain-enabled supply chain management: Trends, gaps, and research needs64
Trans-Lighter: A light-weight federated learning-based architecture for Remaining Useful Lifetime prediction62
Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks62
Immersive Virtual Reality for procedural training: Comparing traditional and learning by teaching approaches62
A novel paradigm for predicting and interpreting uneven roll wear in the hot rolling steel industry61
Anomaly detection in smart agriculture systems59
Enhanced vision-based structural displacement monitoring through deep learning approaches59
Enhancing retrieval-augmented generation for interoperable industrial knowledge representation and inference toward cognitive digital twins59
Detection and localization of fugitive emissions in industrial plants using surveillance cameras58
WETA: Automatic taxonomy alignment via word embeddings57
Mode division-based anomaly detection against integrity and availability attacks in industrial cyber-physical systems55
Unlocking inherent values of manufacturing metadata through digital characteristics (DC) alignment55
Satellite Reference Databases scope and data organization: A literature review55
An Open Data Repository for Engineering Design: Using Text Mining with Open Government Data52
Digital twin composition in smart manufacturing via Markov decision processes50
A novel framework for low-contrast and random multi-scale blade casting defect detection by an adaptive global dynamic detection transformer50
The OMiLAB Digital Innovation environment: Agile conceptual models to bridge business value with Digital and Physical Twins for Product-Service Systems development50
Integration of TLS-derived Bridge Information Modeling (BrIM) with a Decision Support System (DSS) for digital twinning and asset management of bridge infrastructures50
ICSSIM — A framework for building industrial control systems security testbeds49
Linking permissioned blockchain to Internet of Things (IoT)-BIM platform for off-site production management in modular construction48
Multi-scale feature pyramid approach for melt track classification in laser powder bed fusion via coaxial high-speed imaging48
Toward Zero Defect Manufacturing with the support of Artificial Intelligence—Insights from an industrial application48
Integration of industry 4.0 technologies for agri-food supply chain resilience48
Human Digital Twins: A systematic literature review and concept disambiguation for industry 5.047
An adaptive image enhancement approach for safety monitoring robot under insufficient illumination condition46
A graph-based approach for module library development in industrialized construction46
Supporting business process variability through declarative process families46
Integrating NLP and context-free grammar for complex rule interpretation towards automated compliance checking46
A comparative study of Augmented Reality rendering techniques for industrial assembly inspection45
Editorial Board45
A sensor-integrated digital twin framework for molten pool monitoring of laser powder bed fusion44
Empirical mode reconstruction: Preserving intrinsic components in data augmentation for intelligent fault diagnosis of civil aviation hydraulic pumps44
Process mining beyond workflows43
Question answering models for human–machine interaction in the manufacturing industry43
Interactions between BIM and robotics: Towards intelligent construction engineering and management43
Operational process monitoring: An object-centric approach42
Semi-automatic representation of design code based on knowledge graph for automated compliance checking41
Evaluating the noise tolerance of Cloud NLP services across Amazon, Microsoft, and Google41
A machine-learning based data-oriented pipeline for Prognosis and Health Management Systems41
Model-based data integration along the product & service life cycle supported by digital twinning41
A reliable and ensemble forecasting model for slow-moving and repairable spare parts: Data mining approach40
Generation of material handling system alternatives: A constraints satisfaction problem approach40
Full-cycle data purification strategy for multi-type weld seam classification with few-shot learning39
A hierarchical Bayesian regression framework for enabling online reliability estimation and condition-based maintenance through accelerated testing39
Smart contract swarm and multi-branch structure for secure and efficient BIM versioning in blockchain-aided common data environment39
Unsupervised neural network-enabled spatial-temporal analytics for data authenticity under environmental smart reporting system39
A novel and scalable multimodal large language model architecture Tool-MMGPT for future tool wear prediction in titanium alloy high-speed milling processes38
Editorial Board38
PLM data transformation: A mesoscopic scale perspective and an industrial case study38
Few-shot semantic segmentation for industrial defect recognition38
A VGGNet-like approach for classifying and segmenting coal dust particles with overlapping regions38
Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples37
Augmented reality-computer vision combination for automatic fatigue crack detection and localization37
Simulation uncertainty determination of single flank rolling tests using monte carlo simulation and skin model shapes for zero defect manufacturing of micro gears37
Predictive modeling of quality characteristics – A case study with the casting industry37
Advancing photovoltaic system design: An enhanced social learning swarm optimizer with guaranteed stability37
Real-time layer height estimation during multi-layer directed energy deposition using domain adaptive neural networks37
A generic interface and a framework designed for industrial metrology integration for the Internet of Things37
Attentive neural processes based on reliable inferences for industrial equipment anomaly detection37
Digital Twin Stakeholder Communication: Characteristics, Challenges, and Best Practices36
Application of MES/MOM for Industry 4.0 supply chains: A cross-case analysis35
Mapping the hot stamping process through developing distinctive digital characteristics35
Automated digital twin generation of manufacturing systems with complex material flows: graph model completion35
From Ontologies to Knowledge Augmented Large Language Models for Automation: A decision-making guidance for achieving human–robot collaboration in Industry 5.035
Sensory augmentation for subsea robot teleoperation35
Editorial Board35
Deep CNN-based visual defect detection: Survey of current literature34
Advancing zero defect manufacturing: A state-of-the-art perspective and future research directions34
Industrial safety management in the digital era: Constructing a knowledge graph from near misses34
A decentralised approach to cyber-physical systems as a service: Managing shared access worldwide through blockchain standards34
Customization of incentive mechanisms based on product life-cycle phases for an efficient product-service supply chain coordination34
TDAD: Self-supervised industrial anomaly detection with a two-stage diffusion model34
Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process33
AYOLOv3-Tiny: An improved convolutional neural network architecture for real-time defect detection of PAD light guide plates33
Multi-step attack detection in industrial control systems using causal analysis33
Interpretable deep learning approach for tool wear monitoring in high-speed milling33
State estimation for industrial desiccant air dryers using hybrid mechanistic and machine learning models33
A novel graph-based missing values imputation method for industrial lubricant data32
An immersive spatially consistent multi-modal augmented virtuality human-machine interface for telerobotic systems32
Simulating dynamic RUL based CBM scheduling. A case study in the railway sector32
3D scanning method for robotized inspection of industrial sealed parts32
A lightweight and accurate recognition framework for signs of X-ray weld images32
Model-based engineering for designing cyber-physical systems from product specifications32
A high-precision detection method for coated fuel particles based on improved faster region-based convolutional neural network32
Dual channel visible graph convolutional neural network for microleakage monitoring of pipeline weld homalographic cracks32
UGP-KD: An unsupervised generalized prediction framework for robot machining quality under historical task knowledge distillation for new tasks32
A novel agile ontology engineering methodology for supporting organizations in collaborative ontology development31
E-fulfillment cost management in omnichannel retailing: An exploratory study31
A novel FuseDecode Autoencoder for industrial visual inspection: Incremental anomaly detection improvement with gradual transition from unsupervised to mixed-supervision learning with reduced human ef31
A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing31
A survey on machine learning based analysis of heterogeneous data in industrial automation31
On the application of extended reality technologies for the evaluation of product characteristics during the initial stages of the product development process31
Assessing user performance in augmented reality assembly guidance for industry 4.0 operators31
Predictive analysis-based sustainable waste management in smart cities using IoT edge computing and blockchain technology31
Impact of generative artificial intelligence models on the performance of citizen data scientists in retail firms31
SmartPatch: A patch prioritization framework31
An efficient firefighting method for robotics: A novel convolution-based lightweight network model guided by contextual features with dual attention30
Information security and value creation: The performance implications of ISO/IEC 2700130
Detecting coagulation time in cheese making by means of computer vision and machine learning techniques30
A knowledge recommendation approach in design for multi-material 4D printing based on semantic similarity vector space model and case-based reasoning30
Industry 4.0 and potential for reshoring: A typology of technology profiles of manufacturing firms30
A new hazard event classification model via deep learning and multifractal30
An evaluation of agile Ontology Engineering Methodologies for the digital transformation of companies30
A railway track reconstruction method using robotic vision on a mobile manipulator: A proposed strategy30
Requirements for the application of the Digital Twin Paradigm to offshore wind turbine structures for uncertain fatigue analysis30
Reinforcement learning based trustworthy recommendation model for digital twin-driven decision-support in manufacturing systems29
Design representation as semantic networks29
Utilizing domain knowledge in data-driven process discovery: A literature review29
Multicriteria decision-making method for scheduling problem based on smart batches and their quality prediction capability29
A digital twin system for centrifugal pump fault diagnosis driven by transfer learning based on graph convolutional neural networks28
Full-field deformation measurement of structural nodes based on panoramic camera and deep learning-based tracking method28
Literature review and methodological framework for integration of IoT and PLM in manufacturing industry28
Editorial Board28
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