Computers in Industry

Papers
(The median citation count of Computers in Industry is 13. 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
Streamlining Assembly Instruction Design (S-AID): A comprehensive systematic framework76
Editorial Board76
A method for the automated digitalization of fluid circuit diagrams76
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
A deep transfer learning model for online monitoring of surface roughness in milling with variable parameters65
An agent-based approach for the automatic generation of valid SysMLv2 Models in industrial contexts65
A data-driven approach toward a machine- and system-level performance monitoring digital twin for production lines64
Real-time detection of surface cracking defects for large-sized stamped parts63
Trans-Lighter: A light-weight federated learning-based architecture for Remaining Useful Lifetime prediction63
A novel interval-valued carbon price forecasting paradigm: multi-factor intelligent recognition-based ensemble learning61
Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks60
A data-driven, comparative review of the academic literature and news media on blockchain-enabled supply chain management: Trends, gaps, and research needs60
Detection and localization of fugitive emissions in industrial plants using surveillance cameras58
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
Integration of industry 4.0 technologies for agri-food supply chain resilience57
A novel framework for low-contrast and random multi-scale blade casting defect detection by an adaptive global dynamic detection transformer55
WETA: Automatic taxonomy alignment via word embeddings55
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
Integrating NLP and context-free grammar for complex rule interpretation towards automated compliance checking53
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
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
A graph-based approach for module library development in industrialized construction50
Digital twin composition in smart manufacturing via Markov decision processes50
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
Integration of TLS-derived Bridge Information Modeling (BrIM) with a Decision Support System (DSS) for digital twinning and asset management of bridge infrastructures49
ICSSIM — A framework for building industrial control systems security testbeds49
Editorial Board48
Supporting business process variability through declarative process families48
Enhancing retrieval-augmented generation for interoperable industrial knowledge representation and inference toward cognitive digital twins48
Generation of material handling system alternatives: A constraints satisfaction problem approach47
An adaptive image enhancement approach for safety monitoring robot under insufficient illumination condition47
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
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
Full-cycle data purification strategy for multi-type weld seam classification with few-shot learning45
Operational process monitoring: An object-centric approach45
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
Process mining beyond workflows44
Model-based data integration along the product & service life cycle supported by digital twinning44
A comparative study of Augmented Reality rendering techniques for industrial assembly inspection43
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
PLM data transformation: A mesoscopic scale perspective and an industrial case study42
A lightweight transformer winding condition assessment method with multi-scale image fusion and an improved attention mechanism42
A generic interface and a framework designed for industrial metrology integration for the Internet of Things42
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
Attentive neural processes based on reliable inferences for industrial equipment anomaly detection41
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
Predictive modeling of quality characteristics – A case study with the casting industry40
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
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
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
Editorial Board36
A novel agile ontology engineering methodology for supporting organizations in collaborative ontology development36
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
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 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
A high-precision detection method for coated fuel particles based on improved faster region-based convolutional neural network34
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
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
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
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
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
Editorial Board29
Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines29
Virtual-Real Spatial-Temporal Dual Layer Transformer for virtual sensor state perception29
Literature review and methodological framework for integration of IoT and PLM in manufacturing industry29
Obituary29
Data-driven and autonomous manufacturing control in cyber-physical production systems29
A machine learning digital twin approach for critical process parameter prediction in a catalyst manufacturing line28
Editorial Board27
A generalized well neural network for surface defect segmentation in Optical Communication Devices via Template-Testing comparison27
Human digital twins in healthcare and occupational well-being: Enabling techniques, applications, datasets and future trends27
Generative Manufacturing: A requirements and resource-driven approach to part making27
Ambient and wearable system for workers’ stress evaluation27
Human-centric zero-defect manufacturing: State-of-the-art review, perspectives, and challenges26
Model-driven engineering to ensure automotive embedded software safety. Methodological proposal and case study26
Intelligent design of dimensions of reinforced concrete frame structure components using diffusion models26
A user-centric computer-aided verification process in a virtuality-reality continuum26
Multi-view expressive graph neural networks for 3D CAD model classification26
SmartARW: A text-aware smart mobile industrial augmented reality (AR) wiring assembly system26
SKDAN: A Signal Knowledge-enhanced Domain Adaptation Network for remaining useful life prediction and uncertainty quantification of rolling bearings25
Improving efficiency and security of IIoT communications using in-network validation of server certificate25
Editorial Board25
Autonomous vehicle crash risk modeling by integrating data augmentation and two-layer stacking25
A deep reinforcement learning approach for online and concurrent 3D bin packing optimisation with bin replacement strategies25
Adaptive human-computer interaction for industry 5.0: A novel concept, with comprehensive review and empirical validation24
ENIGMA: An explainable digital twin security solution for cyber–physical systems24
Editorial Board24
Reinforcement learning for disassembly sequence planning optimization24
Developing a BIM-enabled robotic manufacturing framework to facilitate mass customization of prefabricated buildings24
Augmented reality for industrial quality inspection: An experiment assessing task performance and human factors24
Digital technologies to support lifecycle management of smart product-service solutions24
A Metamodel for Designing Assessment Models to support transition of production systems towards Industry 5.024
A universal transfer network for machinery fault diagnosis24
Blockchain supported BIM data provenance for construction projects24
Examining the effect of locomotion techniques on virtual prototype assessment: Gaze analysis using a Head-Mounted Display24
Editorial Board24
Development and validation of a digital twin framework for SMT manufacturing24
BIM-CAREM: Assessing the BIM capabilities of design, construction and facilities management processes in the construction industry23
Methods for improving the availability of spot instances: A survey23
A novel anomaly detection method for magnetic flux leakage signals via a feature-based unsupervised detection network23
Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment23
Editorial Board23
Reactive synthesis of software robots in RPA from user interface logs22
A hybrid mechanism and data-driven optimization method of process parameters in laser cutting22
Retrospective quality by design r(QbD) for lactose production using historical process data and design of experiments22
Preventing data-driven risk propagation in human–artificial intelligence interaction: A scenario security architecture22
Editorial Board22
Carbon footprint optimization of a LoRa-based multi-hop Industrial Internet of Things network deployment22
Time domain graph-based anomaly detection approach applied to a real industrial problem22
Domain ontology to integrate building-integrated photovoltaic, battery energy storage, and building energy flexibility information for explicable operation and maintenance22
A cross-domain few-shot remaining useful life estimation framework based on model-agnostic meta-learning with task embeddings22
A flexible communication stack design for improved software development on industrial testbeds and simulators22
Automated configuration for cost-effective digital solutions22
ArchiDiff: Interactive design of 3D architectural forms generated from a single image22
A robotic skill transfer learning framework of dynamic manipulation for fabric placement21
An improved stacking ensemble learning model for predicting the effect of lattice structure defects on yield stress21
Learning 3D human–object interaction graphs from transferable context knowledge for construction monitoring21
Acoustic signal-based wear monitoring for belt grinding tools with pyramid-structured abrasives using BO-KELM21
LAD-Net: A lightweight welding defect surface non-destructive detection algorithm based on the attention mechanism21
Deep learning-powered heating, ventilation, and air conditioning compressor fault diagnosis facing unseen domains and class imbalances21
Context-awareness for the design of Smart-product service systems: Literature review21
Aircraft visual inspection: A systematic literature review21
Identification of emerging business areas for business opportunity analysis: An approach based on language model and local outlier factor20
Smart already at design time – Pattern-based smart service innovation in manufacturing20
Data issues in industrial AI systems: A meta-review and research strategy20
Semantic knowledge-driven A-GASeq: A dynamic graph learning approach for assembly sequence optimization20
ST-RTNet: An energy-efficient spike temporal residual transformer network for rock segmentation in deep space exploration20
A Wasserstein generative digital twin model in health monitoring of rotating machines20
Integrating static and dynamic hierarchical clustering and its application to retail segmentation19
Enabling Building Information Model-driven human-robot collaborative construction workflows with closed-loop digital twins19
Real-time fire temperature field reconstruction using multi-source acoustic wave data and a hybrid deep learning approach19
In-situ fault detection for the spindle motor of CNC machines via multi-stage residual fusion convolution neural networks19
An asset-backed decentralised finance instrument for food supply chains – A case study from the livestock export industry19
Developing a data-driven technology roadmapping method using generative adversarial network (GAN)19
Designing solutions with the product-service systems digital twin: What is now and what is next?19
A collaborative network of digital twins for anomaly detection applications of complex systems. Snitch Digital Twin concept19
An approach for adaptive filtering with reinforcement learning for multi-sensor fusion in condition monitoring of gearboxes19
Multipoint dynamic displacement monitoring of long-span beam bridges and their time-space evolution using a camera-chain system19
A novel attention-free FCformer network with dynamic subdomain adaptation for open-set fault diagnosis of motor bearing19
Decision fusion for reliable fault classification in energy-intensive process industries19
A task-oriented physical collaborative network for pipeline defect diagnosis in a magnetic flux leakage detection system19
A novel computative strategic planning projections algorithm (CSPPA) to generate oblique directional interference matrix for different applications in computer-aided design19
Deformation-aware positioning optimization in aircraft assembly using surrogate model-assisted deep reinforcement learning18
Zero Defect Manufacturing ontology: A preliminary version based on standardized terms18
The minimal AR authoring approach: Validation in a real assembly scenario18
Flexibility-driven strategies for the optimal scheduling of industrial batteries across stacked energy markets18
Development of taxonomy for classifying defect patterns on wafer bin map using Bin2Vec and clustering methods18
From user-generated content to quality improvement: A multi-granularity analysis of customer satisfaction and attention in new energy vehicles using deep learning18
Enhanced detection of unknown defect patterns on wafer bin maps based on an open-set recognition approach17
Decision-support model to select spare parts suitable for additive manufacturing17
A confident learning-based coordinate attention-guided fusion vision transformer for mixed-type wafer map defect detection17
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