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 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
Fleet Profile: Using visual analytics to prospect logistic solutions in industrial vehicles fleet74
Editorial Board74
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
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
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
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
A VGGNet-like approach for classifying and segmenting coal dust particles with overlapping regions38
Editorial Board38
PLM data transformation: A mesoscopic scale perspective and an industrial case study38
Few-shot semantic segmentation for industrial defect recognition38
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
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
Digital Twin Stakeholder Communication: Characteristics, Challenges, and Best Practices36
Sensory augmentation for subsea robot teleoperation35
Editorial Board35
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
TDAD: Self-supervised industrial anomaly detection with a two-stage diffusion model34
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
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
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
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 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
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
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
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
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
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
Reinforcement learning based trustworthy recommendation model for digital twin-driven decision-support in manufacturing systems29
Design representation as semantic networks29
Editorial Board28
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
Deep attention SMOTE: Data augmentation with a learnable interpolation factor for imbalanced anomaly detection of gas turbines27
A core reference ontology for steelmaking process knowledge modelling and information management27
Vision-based hand pose estimation methods for Augmented Reality in industry: Crowdsourced evaluation on HoloLens 227
FCSNet: A quantitative explanation method for surface scratch defects during belt grinding based on deep learning27
A blockchain-enabled deep residual architecture for accountable, in-situ quality control in industry 4.0 with minimal latency26
Online validation of digital twins for manufacturing systems26
Fabric defect classification using prototypical network of few-shot learning algorithm26
Extended realities and discrete events simulations: A systematic review to define design trade-offs and directions26
Self-supervised representation learning anomaly detection methodology based on boosting algorithms enhanced by data augmentation using StyleGAN for manufacturing imbalanced data26
An industrial agent-based customizable platform for I4.0 manufacturing systems25
Deep learning based system for garment visual degradation prediction for longevity25
Data-driven and autonomous manufacturing control in cyber-physical production systems25
Dynamic obstacle avoidance control based on a novel dynamic window approach for agricultural robots25
Obituary24
Editorial Board24
Virtual-Real Spatial-Temporal Dual Layer Transformer for virtual sensor state perception24
A deep reinforcement learning approach for online and concurrent 3D bin packing optimisation with bin replacement strategies24
A user-centric computer-aided verification process in a virtuality-reality continuum24
Editorial Board24
A framework for Seveso-compliant cyber-physical security testing in sensitive industrial plants24
Model-driven engineering to ensure automotive embedded software safety. Methodological proposal and case study24
Generative Manufacturing: A requirements and resource-driven approach to part making24
Autonomous vehicle crash risk modeling by integrating data augmentation and two-layer stacking24
Improving efficiency and security of IIoT communications using in-network validation of server certificate23
Human-centric zero-defect manufacturing: State-of-the-art review, perspectives, and challenges23
Multi-view expressive graph neural networks for 3D CAD model classification23
Data-driven value creation in Smart Product-Service System design: State-of-the-art and research directions23
Towards Zero Defect Manufacturing paradigm: A review of the state-of-the-art methods and open challenges23
Computational framework for real-time diagnostics and prognostics of aircraft actuation systems23
A machine learning digital twin approach for critical process parameter prediction in a catalyst manufacturing line23
Ambient and wearable system for workers’ stress evaluation23
A generalized well neural network for surface defect segmentation in Optical Communication Devices via Template-Testing comparison23
Towards fully BIM-enabled building automation and robotics: A perspective of lifecycle information flow22
Augmented reality for industrial quality inspection: An experiment assessing task performance and human factors22
Examining the effect of locomotion techniques on virtual prototype assessment: Gaze analysis using a Head-Mounted Display22
Editorial Board22
Adaptive human-computer interaction for industry 5.0: A novel concept, with comprehensive review and empirical validation22
Digital technologies to support lifecycle management of smart product-service solutions22
ENIGMA: An explainable digital twin security solution for cyber–physical systems22
Editorial Board22
Editorial Board22
Development and validation of a digital twin framework for SMT manufacturing21
Reinforcement learning for disassembly sequence planning optimization21
Developing a BIM-enabled robotic manufacturing framework to facilitate mass customization of prefabricated buildings21
A Metamodel for Designing Assessment Models to support transition of production systems towards Industry 5.021
Blockchain supported BIM data provenance for construction projects21
Demystifying the digital transition of remanufacturing: A systematic review of literature20
Methods for improving the availability of spot instances: A survey20
Carbon footprint optimization of a LoRa-based multi-hop Industrial Internet of Things network deployment20
Context-awareness for the design of Smart-product service systems: Literature review20
Reactive synthesis of software robots in RPA from user interface logs20
BIM-CAREM: Assessing the BIM capabilities of design, construction and facilities management processes in the construction industry20
Editorial Board20
Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment20
A universal transfer network for machinery fault diagnosis20
A novel anomaly detection method for magnetic flux leakage signals via a feature-based unsupervised detection network20
A robotic skill transfer learning framework of dynamic manipulation for fabric placement20
Time domain graph-based anomaly detection approach applied to a real industrial problem20
A collaborative network of digital twins for anomaly detection applications of complex systems. Snitch Digital Twin concept19
A flexible communication stack design for improved software development on industrial testbeds and simulators19
Retrospective quality by design r(QbD) for lactose production using historical process data and design of experiments19
Semantic knowledge-driven A-GASeq: A dynamic graph learning approach for assembly sequence optimization19
LAD-Net: A lightweight welding defect surface non-destructive detection algorithm based on the attention mechanism19
A Wasserstein generative digital twin model in health monitoring of rotating machines19
Harmonising and integrating the Digital Twins multiverse: A paradigm and a toolset proposal19
Integrating complex asset health modelling techniques with continuous time simulation modelling: A practical tool for maintenance and capital investments analysis19
Learning 3D human–object interaction graphs from transferable context knowledge for construction monitoring19
ArchiDiff: Interactive design of 3D architectural forms generated from a single image19
Aircraft visual inspection: A systematic literature review19
An improved stacking ensemble learning model for predicting the effect of lattice structure defects on yield stress19
Dealing with missing usage data in defect prediction: A case study of a welding supplier19
Domain ontology to integrate building-integrated photovoltaic, battery energy storage, and building energy flexibility information for explicable operation and maintenance19
Acoustic signal-based wear monitoring for belt grinding tools with pyramid-structured abrasives using BO-KELM19
Identification of emerging business areas for business opportunity analysis: An approach based on language model and local outlier factor18
Enabling Building Information Model-driven human-robot collaborative construction workflows with closed-loop digital twins18
Developing a data-driven technology roadmapping method using generative adversarial network (GAN)18
Implementation of digital twins in the process industry: A systematic literature review of enablers and barriers18
A task-oriented physical collaborative network for pipeline defect diagnosis in a magnetic flux leakage detection system18
Decision fusion for reliable fault classification in energy-intensive process industries18
A catalogue of digital solution areas for prioritising the needs of manufacturing SMEs18
Smart already at design time – Pattern-based smart service innovation in manufacturing18
Deformation-aware positioning optimization in aircraft assembly using surrogate model-assisted deep reinforcement learning18
Development of an immersive SLAM-based VR system for teleoperation of a mobile manipulator in an unknown environment18
Multipoint dynamic displacement monitoring of long-span beam bridges and their time-space evolution using a camera-chain system18
Designing solutions with the product-service systems digital twin: What is now and what is next?18
Domain-adaptive active learning for cost-effective virtual metrology modeling18
A novel computative strategic planning projections algorithm (CSPPA) to generate oblique directional interference matrix for different applications in computer-aided design17
Enhanced detection of unknown defect patterns on wafer bin maps based on an open-set recognition approach17
Development of taxonomy for classifying defect patterns on wafer bin map using Bin2Vec and clustering methods17
Parametrization of a demand-driven operating model using reinforcement learning17
An approach for adaptive filtering with reinforcement learning for multi-sensor fusion in condition monitoring of gearboxes17
An asset-backed decentralised finance instrument for food supply chains – A case study from the livestock export industry17
A computer vision based online quality control system for textile yarns17
On design of cognitive situation-adaptive autonomous mobile robotic applications17
In-situ fault detection for the spindle motor of CNC machines via multi-stage residual fusion convolution neural networks17
Data quality issues in production planning and control – Linkages to smart PPC17
Fusing multichannel autoencoders with dynamic global loss for self-supervised fault diagnosis16
A self-supervised leak detection method for natural gas gathering pipelines considering unlabeled multi-class non-leak data16
Dealing with prognostics uncertainties: Combination of direct and recursive remaining useful life estimations16
0.22038102149963