Computers in Industry

Papers
(The median citation count of Computers in Industry is 9. 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 2021-04-01 to 2025-04-01.)
ArticleCitations
Real-time optimization for a Digital Twin of a robotic cell with human operators528
Enhancing Industry 4.0 standards interoperability via knowledge graphs with natural language processing251
Quality prediction for magnetic pulse crimping cable joints based on 3D vision and ensemble learning183
Retraction Notice to: “Evaluation of the green supply chain management practices: A novel neutrosophic approach” [Computers in Industry. Vol. 108 C (2019) pp 210–220]180
Retraction notice to “Knowledge-based deep belief network for machining roughness prediction and knowledge” [COMIND. Vol. 121 (2020) 103262]177
Multi-step attack detection in industrial control systems using causal analysis173
Edge intelligence-based proposal for onboard catenary stagger amplitude diagnosis156
Editorial Board137
MiniCrack: A simple but efficient convolutional neural network for pixel-level narrow crack detection123
Multiple perspectives on analyzing risk factors in FMEA115
Forecasting of iron ore sintering quality index: A latent variable method with deep inner structure114
Learning human-process interaction in manual manufacturing job shops through indoor positioning systems109
Cost-efficient digital twins for design space exploration: A modular platform approach108
A systemic comparison between using augmented data and synthetic data as means of enhancing wafermap defect classification108
Industrial safety management in the digital era: Constructing a knowledge graph from near misses105
A similarity-assisted multi-fidelity approach to conceptual design space exploration104
Hybrid intelligence in procurement: Disillusionment with AI’s superiority?103
Selection framework of visualization methods in designing AR industrial task-support systems100
MaMiNet: Memory-attended multi-inference network for surface-defect detection96
Reactive synthesis of software robots in RPA from user interface logs96
Challenges for data-driven design in early physical product design: A scientific and industrial perspective92
Pixel-level tunnel crack segmentation using a weakly supervised annotation approach90
Customization of incentive mechanisms based on product life-cycle phases for an efficient product-service supply chain coordination90
BIM-CAREM: Assessing the BIM capabilities of design, construction and facilities management processes in the construction industry89
Non-contact rPPG-based human status assessment via a spatial–temporal attention feature fusion network with anti-aliasing82
An analytic hierarchy process augmented with expert rules for product driven control in cyber-physical manufacturing systems80
An effective intrusion-resilient mechanism for programmable logic controllers against data tampering attacks76
A blockchain-based deployment framework for protecting building design intellectual property rights in collaborative digital environments76
A fair and scalable watermarking scheme for the digital content trading industry75
Cybersecurity in the food and beverage industry: A reference framework74
Anomaly based novel multi-source unsupervised transfer learning approach for carbon emission centric GDP prediction70
Development and implementation of a roadmapping methodology to foster twin transition at manufacturing plant level69
Designing production planning and control in smart manufacturing69
Editorial Board66
Editorial Board65
Editorial Board65
Editorial Board64
Throughput analysis of conveyor systems involving multiple materials based on capability decomposition62
Forecasting for lead-time period by temporal aggregation: Whether to combine and how61
Editorial Board61
Editorial Board60
Agile digital machine development58
Synthesized fault-tolerant supervisory controllers, with an application to a rotating bridge57
A simple yet effective approach for log based critical errors prediction56
Managing the use of simulation in systems engineering: An industrial state of practice and a prioritization method56
Digitalization of maintenance activities in small and medium-sized enterprises: A conceptual framework55
Deep learning-based digitalization of a part catalog book to generate part specification by a neutral reference data dictionary55
Digital interoperability and transformation in logistics and supply chain management: Editorial55
Semantic enrichment approach for low-level CAD models managed in PLM context: Literature review and research prospect50
Data-driven strategies for predictive maintenance: Lesson learned from an automotive use case48
i-Dataquest: A heterogeneous information retrieval tool using data graph for the manufacturing industry47
Multi-granularity spatiotemporal object modelling of waterborne traffic elements46
An ontology for reasoning over engineering textual data stored in FMEA spreadsheet tables46
Advancing zero defect manufacturing: A state-of-the-art perspective and future research directions46
Methods for improving the availability of spot instances: A survey46
FedCPG: A class prototype guided personalized lightweight federated learning framework for cross-factory fault detection45
Detecting visual anomalies in an industrial environment: Unsupervised methods put to the test on the AutoVI dataset44
Semi-automated dataset creation for semantic and instance segmentation of industrial point clouds.44
Remaining useful life prediction model of cross-domain rolling bearing via dynamic hybrid domain adaptation and attention contrastive learning43
Process parameter effects estimation and surface quality prediction for selective laser melting empowered by Bayes optimized soft attention mechanism-enhanced transfer learning42
Emergence of collective intelligence in industrial cyber-physical-social systems for collaborative task allocation and defect detection42
Causal knowledge extraction from long text maintenance documents42
A context-aware decision support system for selecting explainable artificial intelligence methods in business organizations41
Mapping the hot stamping process through developing distinctive digital characteristics41
Analyzing the potential of virtual reality-supported training for industrial assembly tasks41
Deep hierarchical sorting networks for fault diagnosis of aero-engines39
A novel anomaly detection method for magnetic flux leakage signals via a feature-based unsupervised detection network39
A technical patent map construction method and system based on multi-dimensional technical feature extraction39
Wearable and interactive mixed reality solutions for fault diagnosis and assistance in manufacturing systems: Implementation and testing in an aseptic bottling line39
TDAD: Self-supervised industrial anomaly detection with a two-stage diffusion model38
Deep learning-based visual control assistant for assembly in Industry 4.038
A Comparative Study of Handheld Augmented Reality Interaction Techniques for Developing AR Instructions using AR Authoring Tools38
An image is worth 10,000 points: Neural network architectures and alternative log representations for lumber production prediction37
Hybridizing humans and robots: An RPA horizon envisaged from the trenches37
Improving device access efficiency using a device protocol matching model37
A general optimization-based approach to the detection of real-time Ethernet traffic events37
Deep learning characterization of surface defects in the selective laser melting process37
A method for supporting the transformation of an existing production system with its integrated Enterprise Information Systems (EISs) into a Cyber Physical Production System (CPPS)37
A novel application of deep transfer learning with audio pre-trained models in pump audio fault detection37
Preventive maintenance for heterogeneous industrial vehicles with incomplete usage data36
Business Process Management: The evolution of a discipline36
Apple varieties and growth prediction with time series classification based on deep learning to impact the harvesting decisions36
A feature identification method to explain anomalies in condition monitoring36
Corrigendum to “Orchestrating product provenance story: When IOTA ecosystem meets electronics supply chain space” [Comput. Ind. 123 (December) (2020) 103334]36
Using text mining to retrieve information about circular economy35
Ensemble of convolutional neural networks based on an evolutionary algorithm applied to an industrial welding process35
Waste management: A comprehensive state of the art about the rise of blockchain technology35
Conceptualizing customer value in data-driven services and smart PSS34
Digital interoperability in logistics and supply chain management: state-of-the-art and research avenues towards Physical Internet34
Discovering data spaces: A classification of design options34
AYOLOv3-Tiny: An improved convolutional neural network architecture for real-time defect detection of PAD light guide plates34
Deep learning based hierarchical classifier for weapon stock aesthetic quality control assessment34
Asynchronous industrial collaboration: How virtual reality and virtual tools aid the process of maintenance method development and documentation creation33
Designing complex manufacturing systems by virtual reality: A novel approach and its application to the virtual commissioning of a production line33
Interpretable deep learning approach for tool wear monitoring in high-speed milling33
BIM-supported drone path planning for building exterior surface inspection33
Product digital twins: An umbrella review and research agenda for understanding their value33
Towards adaptive digital twins architecture32
A survey on anomaly detection for technical systems using LSTM networks31
Improved faster R-CNN for fabric defect detection based on Gabor filter with Genetic Algorithm optimization31
Predictability of mechanical behavior of additively manufactured particulate composites using machine learning and data-driven approaches31
Extraction of dimension requirements from engineering drawings for supporting quality control in production processes31
Pretrained domain-specific language model for natural language processing tasks in the AEC domain30
Different networks for different purposes: A network science perspective on collaboration and communication in an engineering design project29
Editorial Board29
Light-weight federated learning-based anomaly detection for time-series data in industrial control systems29
Deep CNN-based visual defect detection: Survey of current literature29
Knowledge-based digital twin system: Using a knowlege-driven approach for manufacturing process modeling29
Towards live decision-making for service-based production: Integrated process planning and scheduling with Digital Twins and Deep-Q-Learning29
Editorial Board28
An interpretable machine learning approach for engineering change management decision support in automotive industry28
Acoustic signal-based wear monitoring for belt grinding tools with pyramid-structured abrasives using BO-KELM28
A lightweight and accurate recognition framework for signs of X-ray weld images27
A high-accuracy intelligent fault diagnosis method for aero-engine bearings with limited samples27
Domain ontology to integrate building-integrated photovoltaic, battery energy storage, and building energy flexibility information for explicable operation and maintenance27
Model-based engineering for designing cyber-physical systems from product specifications27
ProIDS: A Segmentation and Segregation-based Process-level Intrusion Detection System for Securing Critical Infrastructures26
Editorial Board26
When business processes meet complex events in logistics: A systematic mapping study26
Editorial Board26
Editorial Board26
Integrating complex asset health modelling techniques with continuous time simulation modelling: A practical tool for maintenance and capital investments analysis26
Learning industrial vehicles’ duty patterns: A real case26
Video-based automatic people counting for public transport: On-bus versus off-bus deployment25
A robotic skill transfer learning framework of dynamic manipulation for fabric placement25
Dual channel visible graph convolutional neural network for microleakage monitoring of pipeline weld homalographic cracks25
A high-precision detection method for coated fuel particles based on improved faster region-based convolutional neural network25
Leveraging asymmetric price limits for financial stability in industrial applications: An agent-based model25
BRepQL: Query language for searching topological elements in B-rep models25
SMFM-based analogy retrieval tool for the conceptual design of innovative products24
Towards an adapted PHM approach: Data quality requirements methodology for fault detection applications24
A BIM-based framework for automated generation of fabrication drawings for façade panels24
Meta-task interpolation-based data augmentation for imbalanced health status recognition of complex equipment24
Resilience analysis of infrastructure systems in incremental design change24
Label-based, Mini-batch Combinations Study for Convolutional Neural Network Based Fluid-film Bearing Rotor System Diagnosis24
Retrospective quality by design r(QbD) for lactose production using historical process data and design of experiments24
A blockchain-based framework for trusted quality data sharing towards zero-defect manufacturing24
In-situ workpiece perception: A key to zero-defect manufacturing in Industry 4.0 compliant job shops24
Improving aircraft conceptual design through parametric CAD modellers – A case study for thermal analysis of aircraft systems24
Context-awareness for the design of Smart-product service systems: Literature review23
Learning 3D human–object interaction graphs from transferable context knowledge for construction monitoring23
Low-contrast X-ray image defect segmentation via a novel core-profile decomposition network23
Regional innovation capability from a technology-oriented perspective: An analysis at industry level23
A structure-function knowledge extraction method for bio-inspired design23
End-to-end industrial IoT platform for Quality 4.0 applications23
A flexible communication stack design for improved software development on industrial testbeds and simulators23
Correlation-based feature extraction from computer-aided design, case study on curtain airbags design22
D3 framework: An evidence-based data-driven design framework for new product service development22
Risk knowledge modeling for offer definition in customer-supplier relationships in Engineer-To-Order situations22
Time domain graph-based anomaly detection approach applied to a real industrial problem22
3D scanning method for robotized inspection of industrial sealed parts22
Exploiting knowledge graphs in industrial products and services: A survey of key aspects, challenges, and future perspectives22
Simulating dynamic RUL based CBM scheduling. A case study in the railway sector22
Harmonising and integrating the Digital Twins multiverse: A paradigm and a toolset proposal22
A novel agile ontology engineering methodology for supporting organizations in collaborative ontology development21
An unsupervised approach for health index building and for similarity-based remaining useful life estimation21
Image2Triplets: A computer vision-based explicit relationship extraction framework for updating construction activity knowledge graphs21
Dealing with missing usage data in defect prediction: A case study of a welding supplier21
Industrial Resources in the design of Reconfigurable Manufacturing Systems for aerospace: A systematic literature review21
A double-layer attention based adversarial network for partial transfer learning in machinery fault diagnosis20
Improving information system design: Using UML and axiomatic design20
Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries20
Graph neural network-enabled manufacturing method classification from engineering drawings20
LAD-Net: A lightweight welding defect surface non-destructive detection algorithm based on the attention mechanism20
Empowering employees in industrial organizations with IoT in their daily operations20
A complex network-based approach for resilient and flexible design resource allocation in industry 5.020
A hybrid data-driven and mechanistic model soft sensor for estimating CO2 concentrations for a carbon capture pilot plant20
An improved stacking ensemble learning model for predicting the effect of lattice structure defects on yield stress20
Transformation from human-readable documents and archives in arc welding domain to machine-interpretable data20
A CM&CP framework with a GIACC method and an ensemble model for remaining useful life prediction19
A novel graph-based missing values imputation method for industrial lubricant data19
OpenTwins: An open-source framework for the development of next-gen compositional digital twins19
Data science for engineering design: State of the art and future directions19
Machine learning and multiresolution decomposition for embedded applications to detect short-circuit in induction motors19
An ontology-based method for knowledge reuse in the design for maintenance of complex products19
Combining deep learning with knowledge graph for macro process planning19
The Critical Success Factors for Robotic Process Automation19
A framework for merging ontologies in the context of smart factories19
Performance-driven closed-loop optimization and control for smart manufacturing processes in the cloud-edge-device collaborative architecture: A review and new perspectives19
Assessing user performance in augmented reality assembly guidance for industry 4.0 operators19
Aircraft visual inspection: A systematic literature review18
Impact of generative artificial intelligence models on the performance of citizen data scientists in retail firms18
Predictive analysis-based sustainable waste management in smart cities using IoT edge computing and blockchain technology18
Smart already at design time – Pattern-based smart service innovation in manufacturing18
A text mining approach to identifying sustainability in the private sector18
Rapid quality control for recycled coarse aggregates (RCA) streams: Multi-sensor integration for advanced contaminant detection18
A survey on machine learning based analysis of heterogeneous data in industrial automation18
STEWART: STacking Ensemble for White-Box AdversaRial Attacks Towards more resilient data-driven predictive maintenance18
An efficient firefighting method for robotics: A novel convolution-based lightweight network model guided by contextual features with dual attention18
A Wasserstein generative digital twin model in health monitoring of rotating machines18
Digital servitization of symbiotic service composition in product-service systems18
Knowledge-Enhanced Spatiotemporal Analysis for Anomaly Detection in Process Manufacturing18
A novel dimensional variational prototypical network for industrial few-shot fault diagnosis with unseen faults18
Implementation of a scalable platform for real-time monitoring of machine tools18
Virtual sensors for erroneous data repair in manufacturing a machine learning pipeline18
Semantic knowledge-driven A-GASeq: A dynamic graph learning approach for assembly sequence optimization17
Editorial Board17
Fleet Profile: Using visual analytics to prospect logistic solutions in industrial vehicles fleet17
Editorial Board17
Editorial Board16
A critical study of the existing issues in manufacturing maintenance systems: Can BIM fill the gap?16
Editorial Board16
A digital twin system for centrifugal pump fault diagnosis driven by transfer learning based on graph convolutional neural networks16
Editorial Board16
Editorial Board16
Editorial Board16
Multi-scale neighborhood query graph convolutional network for multi-defect location in CFRP laminates15
Information security and value creation: The performance implications of ISO/IEC 2700115
A collaborative network of digital twins for anomaly detection applications of complex systems. Snitch Digital Twin concept15
The effects of cyber threats on maintenance outsourcing and age replacement policy15
A new approach to 3D pattern-making for the apparel industry: Graphic coding-based localization15
Evaluation of deep unsupervised anomaly detection methods with a data-centric approach for on-line inspection15
Automated construction contract analysis for risk and responsibility assessment using natural language processing and machine learning15
Advanced Prognosis methodology based on behavioral indicators and Chained Sequential Memory Neural Networks with a diesel engine application15
A transformed-feature-space data augmentation method for defect segmentation15
Combining natural language processing and multidimensional classifiers to predict and correct CMMS metadata15
An evaluation of agile Ontology Engineering Methodologies for the digital transformation of companies15
Decision fusion for reliable fault classification in energy-intensive process industries15
E-fulfillment cost management in omnichannel retailing: An exploratory study14
A knowledge recommendation approach in design for multi-material 4D printing based on semantic similarity vector space model and case-based reasoning14
A data-driven, comparative review of the academic literature and news media on blockchain-enabled supply chain management: Trends, gaps, and research needs14
A data-driven approach toward a machine- and system-level performance monitoring digital twin for production lines14
A constraint redundancy elimination strategy to improve design reuse in parametric modeling14
EA-GAT: Event aware graph attention network on cyber-physical systems14
The role of interoperability dimensions in building information modelling14
Editorial Board14
Immersive Virtual Reality for procedural training: Comparing traditional and learning by teaching approaches14
CyPhERS: A cyber-physical event reasoning system providing real-time situational awareness for attack and fault response14
Coupling digital simulation and machine learning metamodel through an active learning approach in Industry 4.0 context14
SmartPatch: A patch prioritization framework14
A framework for multi-robot control in execution of a Swarm Production System14
Enabling Building Information Model-driven human-robot collaborative construction workflows with closed-loop digital twins14
A deep transfer learning model for online monitoring of surface roughness in milling with variable parameters14
Automated corner grading of trading cards: Defect identification and confidence calibration through deep learning13
A collaborative knowledge-based method for the interactive development of cabin systems in virtual reality13
Simplexity testbed: A model-based digital twin testbed13
Application of the Digital Twin for in process monitoring of the micro injection moulding process quality13
Machine learning iterative filtering algorithm for field defect detection in the process stage13
Multicriteria decision-making method for scheduling problem based on smart batches and their quality prediction capability13
Toward the industry 5.0 paradigm: Increasing value creation through the robust integration of humans and machines13
Fermentation 4.0, a case study on computer vision, soft sensor, connectivity, and control applied to the fermentation of a thraustochytrid13
Incipient fault detection enhancement based on spatial-temporal multi-mode siamese feature contrast learning for industrial dynamic process13
Developing a data-driven technology roadmapping method using generative adversarial network (GAN)13
Editorial Board13
Maintenance concepts evolution: a comparative review towards Advanced Maintenance conceptualization13
Streamlining Assembly Instruction Design (S-AID): A comprehensive systematic framework13
Real-time detection of surface cracking defects for large-sized stamped parts13
A novel FuseDecode Autoencoder for industrial visual inspection: Incremental anomaly detection improvement with gradual transition from unsupervised to mixed-supervision learning with reduced human ef13
Toward a reference terminology for product-service systems in the manufacturing domain13
A novel information processing method based on an ensemble of Auto-Encoders for unsupervised fault detection13
0.17076683044434