Computers in Industry

Papers
(The TQCC of Computers in Industry is 26. 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 2022-01-01 to 2026-01-01.)
ArticleCitations
Forecasting for lead-time period by temporal aggregation: Whether to combine and how237
Editorial Board217
Deep learning-based digitalization of a part catalog book to generate part specification by a neutral reference data dictionary214
Discovering data spaces: A classification of design options176
SRLFormer: Single Retinex-based and low-light image guidance Transformer for low-light image enhancement167
Learning human-process interaction in manual manufacturing job shops through indoor positioning systems160
A comprehensive survey of image synthesis approaches for Deep Learning-based surface defect detection in manufacturing160
An ontology-based retrieval augmented generation procedure for a voice-controlled maintenance assistant154
Selection framework of visualization methods in designing AR industrial task-support systems148
Research on autonomous positioning and adaptive compliant plugging strategies of intelligent charging robots138
Knowledge-Enhanced Spatiotemporal Analysis for Anomaly Detection in Process Manufacturing130
OpenTwins: An open-source framework for the development of next-gen compositional digital twins120
Editorial Board113
Editorial Board109
A semi-automated compliance checking framework for shield tunnel design integrating ontology and natural language processing108
D3 framework: An evidence-based data-driven design framework for new product service development102
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems101
Leveraging asymmetric price limits for financial stability in industrial applications: An agent-based model101
A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples92
Knowledge-based digital twin system: Using a knowlege-driven approach for manufacturing process modeling86
An unsupervised approach for health index building and for similarity-based remaining useful life estimation85
A hybrid data-driven and mechanistic model soft sensor for estimating CO2 concentrations for a carbon capture pilot plant83
Industrial Internet of Things: Implementations, challenges, and potential solutions across various industries83
Zero-shot printed circuit board defect detection via optical flow and reconstruction guidance82
An agent-based approach for the automatic generation of valid SysMLv2 Models in industrial contexts82
Towards live decision-making for service-based production: Integrated process planning and scheduling with Digital Twins and Deep-Q-Learning82
Editorial Board74
Fleet Profile: Using visual analytics to prospect logistic solutions in industrial vehicles fleet73
Editorial Board73
EA-GAT: Event aware graph attention network on cyber-physical systems71
A new approach to 3D pattern-making for the apparel industry: Graphic coding-based localization71
Streamlining Assembly Instruction Design (S-AID): A comprehensive systematic framework71
A data-driven approach toward a machine- and system-level performance monitoring digital twin for production lines71
A method for the automated digitalization of fluid circuit diagrams70
A novel interval-valued carbon price forecasting paradigm: multi-factor intelligent recognition-based ensemble learning69
A collaborative knowledge-based method for the interactive development of cabin systems in virtual reality68
A deep transfer learning model for online monitoring of surface roughness in milling with variable parameters67
Implementation of a scalable platform for real-time monitoring of machine tools66
Immersive Virtual Reality for procedural training: Comparing traditional and learning by teaching approaches66
Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks65
Real-time detection of surface cracking defects for large-sized stamped parts65
Trans-Lighter: A light-weight federated learning-based architecture for Remaining Useful Lifetime prediction63
A data-driven, comparative review of the academic literature and news media on blockchain-enabled supply chain management: Trends, gaps, and research needs63
Enhancing retrieval-augmented generation for interoperable industrial knowledge representation and inference toward cognitive digital twins61
Mode division-based anomaly detection against integrity and availability attacks in industrial cyber-physical systems60
WETA: Automatic taxonomy alignment via word embeddings60
Satellite Reference Databases scope and data organization: A literature review57
Unlocking inherent values of manufacturing metadata through digital characteristics (DC) alignment53
A novel framework for low-contrast and random multi-scale blade casting defect detection by an adaptive global dynamic detection transformer53
An Open Data Repository for Engineering Design: Using Text Mining with Open Government Data53
ICSSIM — A framework for building industrial control systems security testbeds52
The OMiLAB Digital Innovation environment: Agile conceptual models to bridge business value with Digital and Physical Twins for Product-Service Systems development52
A fuzzy feature integration-enhanced network for surface defect detection of no-service rails52
Enhanced vision-based structural displacement monitoring through deep learning approaches52
A novel paradigm for predicting and interpreting uneven roll wear in the hot rolling steel industry51
Integration of industry 4.0 technologies for agri-food supply chain resilience51
A graph-based approach for module library development in industrialized construction51
Detection and localization of fugitive emissions in industrial plants using surveillance cameras51
Multi-scale feature pyramid approach for melt track classification in laser powder bed fusion via coaxial high-speed imaging51
Anomaly detection in smart agriculture systems49
Toward Zero Defect Manufacturing with the support of Artificial Intelligence—Insights from an industrial application48
Linking permissioned blockchain to Internet of Things (IoT)-BIM platform for off-site production management in modular construction48
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
Human Digital Twins: A systematic literature review and concept disambiguation for industry 5.045
Digital twin composition in smart manufacturing via Markov decision processes45
Integrating NLP and context-free grammar for complex rule interpretation towards automated compliance checking45
A reliable and ensemble forecasting model for slow-moving and repairable spare parts: Data mining approach44
Editorial Board44
A hierarchical Bayesian regression framework for enabling online reliability estimation and condition-based maintenance through accelerated testing43
A sensor-integrated digital twin framework for molten pool monitoring of laser powder bed fusion43
Empirical mode reconstruction: Preserving intrinsic components in data augmentation for intelligent fault diagnosis of civil aviation hydraulic pumps42
Robust non-contact material recognition for robots in extreme and dynamic environments42
Generation of material handling system alternatives: A constraints satisfaction problem approach42
Semi-automatic representation of design code based on knowledge graph for automated compliance checking42
A controllable generative design framework for residential communities with multi-scale architectural representations42
Question answering models for human–machine interaction in the manufacturing industry42
A comparative study of Augmented Reality rendering techniques for industrial assembly inspection41
Model-based data integration along the product & service life cycle supported by digital twinning41
A machine-learning based data-oriented pipeline for Prognosis and Health Management Systems40
Few-shot semantic segmentation for industrial defect recognition40
Smart contract swarm and multi-branch structure for secure and efficient BIM versioning in blockchain-aided common data environment40
Operational process monitoring: An object-centric approach40
An adaptive image enhancement approach for safety monitoring robot under insufficient illumination condition40
Unsupervised neural network-enabled spatial-temporal analytics for data authenticity under environmental smart reporting system40
Editorial Board39
Evaluating the noise tolerance of Cloud NLP services across Amazon, Microsoft, and Google39
A lightweight transformer winding condition assessment method with multi-scale image fusion and an improved attention mechanism39
Full-cycle data purification strategy for multi-type weld seam classification with few-shot learning39
Process mining beyond workflows39
PLM data transformation: A mesoscopic scale perspective and an industrial case study39
Interactions between BIM and robotics: Towards intelligent construction engineering and management39
A generic interface and a framework designed for industrial metrology integration for the Internet of Things38
A novel and scalable multimodal large language model architecture Tool-MMGPT for future tool wear prediction in titanium alloy high-speed milling processes38
Attentive neural processes based on reliable inferences for industrial equipment anomaly detection38
Application of MES/MOM for Industry 4.0 supply chains: A cross-case analysis38
Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples37
Digital Twin Stakeholder Communication: Characteristics, Challenges, and Best Practices37
Simulation uncertainty determination of single flank rolling tests using monte carlo simulation and skin model shapes for zero defect manufacturing of micro gears37
Sensory augmentation for subsea robot teleoperation37
Automated digital twin generation of manufacturing systems with complex material flows: graph model completion37
Predictive modeling of quality characteristics – A case study with the casting industry37
Real-time layer height estimation during multi-layer directed energy deposition using domain adaptive neural networks36
Mapping the hot stamping process through developing distinctive digital characteristics36
Augmented reality-computer vision combination for automatic fatigue crack detection and localization36
Editorial Board36
Advancing photovoltaic system design: An enhanced social learning swarm optimizer with guaranteed stability36
Customization of incentive mechanisms based on product life-cycle phases for an efficient product-service supply chain coordination35
Multi-step attack detection in industrial control systems using causal analysis35
A decentralised approach to cyber-physical systems as a service: Managing shared access worldwide through blockchain standards35
TDAD: Self-supervised industrial anomaly detection with a two-stage diffusion model35
State estimation for industrial desiccant air dryers using hybrid mechanistic and machine learning models35
AYOLOv3-Tiny: An improved convolutional neural network architecture for real-time defect detection of PAD light guide plates35
Advancing zero defect manufacturing: A state-of-the-art perspective and future research directions35
Industrial safety management in the digital era: Constructing a knowledge graph from near misses34
A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing34
Model-based engineering for designing cyber-physical systems from product specifications34
Deep CNN-based visual defect detection: Survey of current literature34
A high-precision detection method for coated fuel particles based on improved faster region-based convolutional neural network34
3D scanning method for robotized inspection of industrial sealed parts34
CASIA-Net: An indoor work site smoking detection framework34
Interpretable deep learning approach for tool wear monitoring in high-speed milling34
From Ontologies to Knowledge Augmented Large Language Models for Automation: A decision-making guidance for achieving human–robot collaboration in Industry 5.034
A lightweight and accurate recognition framework for signs of X-ray weld images33
An immersive spatially consistent multi-modal augmented virtuality human-machine interface for telerobotic systems33
A novel graph-based missing values imputation method for industrial lubricant data33
Simulating dynamic RUL based CBM scheduling. A case study in the railway sector33
Impact of generative artificial intelligence models on the performance of citizen data scientists in retail firms33
UGP-KD: An unsupervised generalized prediction framework for robot machining quality under historical task knowledge distillation for new tasks33
A novel agile ontology engineering methodology for supporting organizations in collaborative ontology development32
A survey on machine learning based analysis of heterogeneous data in industrial automation32
Dual channel visible graph convolutional neural network for microleakage monitoring of pipeline weld homalographic cracks32
Assessing user performance in augmented reality assembly guidance for industry 4.0 operators32
Predictive analysis-based sustainable waste management in smart cities using IoT edge computing and blockchain technology31
A digital twin system for centrifugal pump fault diagnosis driven by transfer learning based on graph convolutional neural networks31
A knowledge recommendation approach in design for multi-material 4D printing based on semantic similarity vector space model and case-based reasoning31
Utilizing domain knowledge in data-driven process discovery: A literature review30
E-fulfillment cost management in omnichannel retailing: An exploratory study30
A railway track reconstruction method using robotic vision on a mobile manipulator: A proposed strategy30
A novel FuseDecode Autoencoder for industrial visual inspection: Incremental anomaly detection improvement with gradual transition from unsupervised to mixed-supervision learning with reduced human ef29
Design representation as semantic networks29
SmartPatch: A patch prioritization framework29
An efficient firefighting method for robotics: A novel convolution-based lightweight network model guided by contextual features with dual attention28
A new hazard event classification model via deep learning and multifractal28
A review of digital twins in smart industries: Concepts, milestones, trends, applications, opportunities and challenges28
Information security and value creation: The performance implications of ISO/IEC 2700128
An evaluation of agile Ontology Engineering Methodologies for the digital transformation of companies28
Industry 4.0 and potential for reshoring: A typology of technology profiles of manufacturing firms28
Segmentation, correction, and classification of abnormal sensor data in mechanical engineering based on multi-task learning27
Reinforcement learning based trustworthy recommendation model for digital twin-driven decision-support in manufacturing systems27
Requirements for the application of the Digital Twin Paradigm to offshore wind turbine structures for uncertain fatigue analysis27
On the application of extended reality technologies for the evaluation of product characteristics during the initial stages of the product development process27
Detecting coagulation time in cheese making by means of computer vision and machine learning techniques26
An industrial agent-based customizable platform for I4.0 manufacturing systems26
Editorial Board26
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