Computers in Industry

Papers
(The TQCC of Computers in Industry is 30. 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 2022-06-01 to 2026-06-01.)
ArticleCitations
Editorial Board197
Selection framework of visualization methods in designing AR industrial task-support systems186
Deep learning-based digitalization of a part catalog book to generate part specification by a neutral reference data dictionary184
SRLFormer: Single Retinex-based and low-light image guidance Transformer for low-light image enhancement169
An ontology-based retrieval augmented generation procedure for a voice-controlled maintenance assistant153
Learning human-process interaction in manual manufacturing job shops through indoor positioning systems136
Forecasting for lead-time period by temporal aggregation: Whether to combine and how132
Research on autonomous positioning and adaptive compliant plugging strategies of intelligent charging robots131
Discovering data spaces: A classification of design options130
A comprehensive survey of image synthesis approaches for Deep Learning-based surface defect detection in manufacturing126
A semi-automated compliance checking framework for shield tunnel design integrating ontology and natural language processing120
Editorial Board113
Editorial Board106
D3 framework: An evidence-based data-driven design framework for new product service development100
Industrial Internet of Things: Implementations, challenges, and potential solutions across various industries95
OpenTwins: An open-source framework for the development of next-gen compositional digital twins91
A lightweight steel strip defect texture recognition network based on improved learnable Gabor filter convolution88
Knowledge-based digital twin system: Using a knowlege-driven approach for manufacturing process modeling88
Towards live decision-making for service-based production: Integrated process planning and scheduling with Digital Twins and Deep-Q-Learning86
A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples84
A hybrid data-driven and mechanistic model soft sensor for estimating CO2 concentrations for a carbon capture pilot plant84
An unsupervised approach for health index building and for similarity-based remaining useful life estimation81
Leveraging asymmetric price limits for financial stability in industrial applications: An agent-based model80
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems79
Editorial Board78
Knowledge-Enhanced Spatiotemporal Analysis for Anomaly Detection in Process Manufacturing78
Editorial Board76
A method for the automated digitalization of fluid circuit diagrams76
Streamlining Assembly Instruction Design (S-AID): A comprehensive systematic framework76
Implementation of a scalable platform for real-time monitoring of machine tools75
Fleet Profile: Using visual analytics to prospect logistic solutions in industrial vehicles fleet72
EA-GAT: Event aware graph attention network on cyber-physical systems72
Immersive Virtual Reality for procedural training: Comparing traditional and learning by teaching approaches68
Zero-shot printed circuit board defect detection via optical flow and reconstruction guidance66
An agent-based approach for the automatic generation of valid SysMLv2 Models in industrial contexts65
A deep transfer learning model for online monitoring of surface roughness in milling with variable parameters65
A data-driven approach toward a machine- and system-level performance monitoring digital twin for production lines64
Trans-Lighter: A light-weight federated learning-based architecture for Remaining Useful Lifetime prediction63
Real-time detection of surface cracking defects for large-sized stamped parts63
A novel interval-valued carbon price forecasting paradigm: multi-factor intelligent recognition-based ensemble learning61
A data-driven, comparative review of the academic literature and news media on blockchain-enabled supply chain management: Trends, gaps, and research needs60
Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks60
An Open Data Repository for Engineering Design: Using Text Mining with Open Government Data58
A fuzzy feature integration-enhanced network for surface defect detection of no-service rails58
Detection and localization of fugitive emissions in industrial plants using surveillance cameras58
Integration of industry 4.0 technologies for agri-food supply chain resilience57
WETA: Automatic taxonomy alignment via word embeddings55
A novel framework for low-contrast and random multi-scale blade casting defect detection by an adaptive global dynamic detection transformer55
Unlocking inherent values of manufacturing metadata through digital characteristics (DC) alignment54
A novel paradigm for predicting and interpreting uneven roll wear in the hot rolling steel industry54
Toward Zero Defect Manufacturing with the support of Artificial Intelligence—Insights from an industrial application53
The OMiLAB Digital Innovation environment: Agile conceptual models to bridge business value with Digital and Physical Twins for Product-Service Systems development53
Integrating NLP and context-free grammar for complex rule interpretation towards automated compliance checking53
Multi-scale feature pyramid approach for melt track classification in laser powder bed fusion via coaxial high-speed imaging51
Human Digital Twins: A systematic literature review and concept disambiguation for industry 5.051
Satellite Reference Databases scope and data organization: A literature review50
Anomaly detection in smart agriculture systems50
Enhanced vision-based structural displacement monitoring through deep learning approaches50
A graph-based approach for module library development in industrialized construction50
Digital twin composition in smart manufacturing via Markov decision processes50
ICSSIM — A framework for building industrial control systems security testbeds49
Integration of TLS-derived Bridge Information Modeling (BrIM) with a Decision Support System (DSS) for digital twinning and asset management of bridge infrastructures49
Supporting business process variability through declarative process families48
Enhancing retrieval-augmented generation for interoperable industrial knowledge representation and inference toward cognitive digital twins48
Editorial Board48
Smart contract swarm and multi-branch structure for secure and efficient BIM versioning in blockchain-aided common data environment47
Unsupervised neural network-enabled spatial-temporal analytics for data authenticity under environmental smart reporting system47
A hierarchical Bayesian regression framework for enabling online reliability estimation and condition-based maintenance through accelerated testing47
A controllable generative design framework for residential communities with multi-scale architectural representations47
Generation of material handling system alternatives: A constraints satisfaction problem approach47
An adaptive image enhancement approach for safety monitoring robot under insufficient illumination condition47
Robust non-contact material recognition for robots in extreme and dynamic environments46
A reliable and ensemble forecasting model for slow-moving and repairable spare parts: Data mining approach46
A sensor-integrated digital twin framework for molten pool monitoring of laser powder bed fusion45
Evaluating the noise tolerance of Cloud NLP services across Amazon, Microsoft, and Google45
Semi-automatic representation of design code based on knowledge graph for automated compliance checking45
Full-cycle data purification strategy for multi-type weld seam classification with few-shot learning45
Operational process monitoring: An object-centric approach45
Model-based data integration along the product & service life cycle supported by digital twinning44
Process mining beyond workflows44
A short-term integrated wind speed prediction system based on fuzzy set feature extraction and intelligent optimization43
A machine-learning based data-oriented pipeline for Prognosis and Health Management Systems43
Editorial Board43
Interactions between BIM and robotics: Towards intelligent construction engineering and management43
Few-shot semantic segmentation for industrial defect recognition43
Question answering models for human–machine interaction in the manufacturing industry43
A comparative study of Augmented Reality rendering techniques for industrial assembly inspection43
A generic interface and a framework designed for industrial metrology integration for the Internet of Things42
A lightweight transformer winding condition assessment method with multi-scale image fusion and an improved attention mechanism42
PLM data transformation: A mesoscopic scale perspective and an industrial case study42
Attentive neural processes based on reliable inferences for industrial equipment anomaly detection41
A novel and scalable multimodal large language model architecture Tool-MMGPT for future tool wear prediction in titanium alloy high-speed milling processes41
Augmented reality-computer vision combination for automatic fatigue crack detection and localization41
Prior knowledge embedding convolutional autoencoder: A single-source domain generalized fault diagnosis framework under small samples41
Predictive modeling of quality characteristics – A case study with the casting industry40
Real-time layer height estimation during multi-layer directed energy deposition using domain adaptive neural networks40
Advancing photovoltaic system design: An enhanced social learning swarm optimizer with guaranteed stability40
Application of MES/MOM for Industry 4.0 supply chains: A cross-case analysis40
Simulation uncertainty determination of single flank rolling tests using monte carlo simulation and skin model shapes for zero defect manufacturing of micro gears39
Multi-step attack detection in industrial control systems using causal analysis39
Automated digital twin generation of manufacturing systems with complex material flows: graph model completion39
Editorial Board39
Digital Twin Stakeholder Communication: Characteristics, Challenges, and Best Practices39
Sensory augmentation for subsea robot teleoperation39
A decentralised approach to cyber-physical systems as a service: Managing shared access worldwide through blockchain standards38
State estimation for industrial desiccant air dryers using hybrid mechanistic and machine learning models38
Industrial safety management in the digital era: Constructing a knowledge graph from near misses38
CASIA-Net: An indoor work site smoking detection framework38
Mapping the hot stamping process through developing distinctive digital characteristics38
From Ontologies to Knowledge Augmented Large Language Models for Automation: A decision-making guidance for achieving human–robot collaboration in Industry 5.037
Model-based engineering for designing cyber-physical systems from product specifications37
TDAD: Self-supervised industrial anomaly detection with a two-stage diffusion model37
Dual channel visible graph convolutional neural network for microleakage monitoring of pipeline weld homalographic cracks37
Interpretable deep learning approach for tool wear monitoring in high-speed milling37
Deep CNN-based visual defect detection: Survey of current literature37
Editorial Board36
A novel agile ontology engineering methodology for supporting organizations in collaborative ontology development36
Predictive analysis-based sustainable waste management in smart cities using IoT edge computing and blockchain technology35
Impact of generative artificial intelligence models on the performance of citizen data scientists in retail firms35
Simulating dynamic RUL based CBM scheduling. A case study in the railway sector35
A novel graph-based missing values imputation method for industrial lubricant data35
An immersive spatially consistent multi-modal augmented virtuality human-machine interface for telerobotic systems35
A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing35
UGP-KD: An unsupervised generalized prediction framework for robot machining quality under historical task knowledge distillation for new tasks35
A high-precision detection method for coated fuel particles based on improved faster region-based convolutional neural network34
A new hazard event classification model via deep learning and multifractal34
3D scanning method for robotized inspection of industrial sealed parts34
A survey on machine learning based analysis of heterogeneous data in industrial automation34
Assessing user performance in augmented reality assembly guidance for industry 4.0 operators34
A novel FuseDecode Autoencoder for industrial visual inspection: Incremental anomaly detection improvement with gradual transition from unsupervised to mixed-supervision learning with reduced human ef34
Requirements for the application of the Digital Twin Paradigm to offshore wind turbine structures for uncertain fatigue analysis33
On the application of extended reality technologies for the evaluation of product characteristics during the initial stages of the product development process33
An evaluation of agile Ontology Engineering Methodologies for the digital transformation of companies33
Design representation as semantic networks33
Detecting coagulation time in cheese making by means of computer vision and machine learning techniques33
A railway track reconstruction method using robotic vision on a mobile manipulator: A proposed strategy32
Information security and value creation: The performance implications of ISO/IEC 2700132
A review of digital twins in smart industries: Concepts, milestones, trends, applications, opportunities and challenges32
Industry 4.0 and potential for reshoring: A typology of technology profiles of manufacturing firms32
E-fulfillment cost management in omnichannel retailing: An exploratory study32
Segmentation, correction, and classification of abnormal sensor data in mechanical engineering based on multi-task learning32
A knowledge recommendation approach in design for multi-material 4D printing based on semantic similarity vector space model and case-based reasoning32
A digital twin system for centrifugal pump fault diagnosis driven by transfer learning based on graph convolutional neural networks32
An efficient firefighting method for robotics: A novel convolution-based lightweight network model guided by contextual features with dual attention31
Self-supervised representation learning anomaly detection methodology based on boosting algorithms enhanced by data augmentation using StyleGAN for manufacturing imbalanced data31
Deep learning based system for garment visual degradation prediction for longevity31
Reinforcement learning based trustworthy recommendation model for digital twin-driven decision-support in manufacturing systems31
FCSNet: A quantitative explanation method for surface scratch defects during belt grinding based on deep learning30
A learning model for perceived visual complexity assessment of automotive 3D shapes based on visual perception elements30
Online validation of digital twins for manufacturing systems30
Dynamic obstacle avoidance control based on a novel dynamic window approach for agricultural robots30
An ensemble learning-enhanced collaborative surrogate modeling approach with improved particle swarm optimization for structural reliability assessment30
Full-field deformation measurement of structural nodes based on panoramic camera and deep learning-based tracking method30
Extended realities and discrete events simulations: A systematic review to define design trade-offs and directions30
Fabric defect classification using prototypical network of few-shot learning algorithm30
A blockchain-enabled deep residual architecture for accountable, in-situ quality control in industry 4.0 with minimal latency30
Incremental learning strategies for improved detection of unknown defects in wafer maps with limited samples30
Editorial Board30
An industrial agent-based customizable platform for I4.0 manufacturing systems30
Vision-based hand pose estimation methods for Augmented Reality in industry: Crowdsourced evaluation on HoloLens 230
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