Journal of Computing and Information Science in Engineering

Papers
(The median citation count of Journal of Computing and Information Science in Engineering is 2. 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 2022-05-01 to 2026-05-01.)
ArticleCitations
Optimizing Robotic Manipulation With Decision-RWKV: A Recurrent Sequence Modeling Approach for Lifelong Learning174
Automatically Discovering Mechanical Functions From Physical Behaviors via Clustering66
Sub-Second Prediction of the Heatmap of Powder-Beds in Additive Manufacturing Using Deep Encoder–Decoder Convolutional Neural Networks60
STEP-NC Process Planning for Powder Bed Fusion Additive Manufacturing52
Putting the Ghost in the Machine: Emulating Cognitive Style in Large Language Models43
Deep Operator Learning for High-Fidelity Fluid Flow Field Reconstruction From Sparse Sensor Measurements34
Surrogate Modeling of Nonlinear Dynamic Systems: A Comparative Study31
Efficient Planning for Scalable and Load-Balanced Area Coverage by Multiple Unmanned Aerial Vehicles31
Product Perceptual Similarity Evaluation: From Attributive Error to Human Knowledge Hierarchy28
Texture Design for Diverse Virtual Touch Sensations: Perceptual Breadth of Parameter-Driven Turing Patterns26
Self-Supervised Learning of Spatially Varying Process Parameter Models for Robotic Finishing Tasks26
Risk-Bounded and Probabilistic Roadmap-Based Motion Planner for Arbitrarily Shaped Robots With Uncertainty26
A Multi-Sized Unit Cell Method for the Design of LPBF Lattice Support Structures Concerning Complex Geometries25
A Digital Twin-Based Method for Assembly Deviations Analysis25
Pointing Tasks Using Spatial Audio on Smartphones for People With Vision Impairments25
Design Reuse via Automated Requirements-Driven Retrieval: A Framework for Electronic Hardware24
ImpersonatAR: Using Embodied Authoring and Evaluation to Prototype Multi-Scenario Use Cases for Augmented Reality Applications23
Internal Leakage Detection in Hydraulic Pump Using Model-Agnostic Feature Ranking and Ensemble Classifiers22
A Quantitative Insight Into the Role of Skip Connections in Deep Neural Networks of Low Complexity: A Case Study Directed at Fluid Flow Modeling21
A Robust Model for Hydrogen Supply Chain Network Design in China Under Renewable Energy Uncertainty21
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study20
Machine-Learning Metacomputing for Materials Science Data20
A Stochastic Reduced-Order Model for Statistical Microstructure Descriptors Evolution19
Formal Qualitative Physics-Based Reasoning for Functional Decomposition of Engineered Systems19
MODAL-DRN-BL: A Framework for Modal Analysis Based on Dilated Residual Broad Learning Networks19
Accelerating Thermal Simulations in Additive Manufacturing by Training Physics-Informed Neural Networks With Randomly Synthesized Data18
Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling18
Machine Learning Based Developing Flow Control Technique Over Circular Cylinders17
What’s in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models Through User-Provided Names in Computer Aided Design Files17
Designing Evolving Cyber-Physical-Social Systems: Computational Research Opportunities17
Cyber-Physical Security Vulnerabilities Identification and Classification in Smart Manufacturing: A Defense-in-Depth Driven Framework and Taxonomy16
Ontology-Guided Data Sharing and Federated Quality Control With Differential Privacy in Additive Manufacturing16
Deep Learning-Based Flange Dimension Measurement for Industrial Parts by Integrating Self-Supervised Binary Image Segmentation and Contour Detection15
Standard Tessellation Language-Free Adaptive Slicing Scheme for Additive Manufacturing of Cellular Materials15
Adaptive Construction of Non-Deterministic Multi-fidelity Surrogates Using a Hybrid Classification-Regression Scheme15
A Physics-informed Deep Encoding-Parsing Network for Cross-domain Bearing Fault Diagnosis under Noisy Sensor Data14
Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications14
AnnotateXR: An Extended Reality Workflow for Automating Data Annotation to Support Computer Vision Applications14
Calibration of RAFM Micromechanical Model for Creep Using Bayesian Optimization for Functional Output14
Designing Robotic Manipulation: Exploring Knowledge Transfer in CausalWorld14
Evaluation of Clinical and Technical Parameters to Customize Total Knee Arthroplasty Implants14
Taxonomy-Driven Graph-Theoretic Framework for Manufacturing Cybersecurity Risk Modeling and Assessment13
Enhancing Robot Calibration Through Reliable High-Order Hermite Polynomials Model and SSA-BP Optimization13
Navigating Standards in Engineering Design through Latent Textual Topology and LLMs13
Band-Limited Vibrotactile Noise Enhances Fingertip Haptic Sensation13
Elicitron: A Large Language Model Agent-Based Simulation Framework for Design Requirements Elicitation13
Stress Representations for Tensor Basis Neural Networks: Alternative Formulations to Finger–Rivlin–Ericksen13
An Large Language Model-Augmented Method to Assist Novice Designers in Divergent Thinking13
Probabilistic Printability Maps for Laser Powder Bed Fusion Via Functional Calibration and Uncertainty Propagation12
Special Issue: JCISE 25th Anniversary Special Issue12
Bi-LSTM-Based Dynamic Prediction Model for Pulling Speed of Czochralski Single-Crystal Furnace12
Impedance Sensitivity Analysis Based on Discontinuous Isogeometric Boundary Element Method in Automotive Acoustics12
Conductivity Modeling of Intense Pulsed Light Sintered Printed Electronics via Gaussian Process-Enhanced RA-GAN12
Challenges in Geometry Assurance of Megacasting in the Automotive Industry12
ReqNet and ReqSim: A Network and Semantic Similarity Dataset of Requirements From the Tree Structure of System Requirement Specifications12
Hybrid Temporal Modeling and Generative Augmentation for Imbalanced Multivariate Time Series Anomaly Detection in Engineering Systems12
A Quantitative Method for Analyzing Collective Behavior of Multi-Agent Systems Based on Environmental Complexity12
Long-Range Risk-Aware Path Planning for Autonomous Ships in Complex and Dynamic Environments12
A Framework for Inverse Prediction Using Functional Response Data12
Data-Driven 3D-Printed Material Data Prediction From Benchmark Specimens11
Synergizing Global Prototypes and Local Topology: A Dual-Branch Network for Robust Few-Shot Learning11
Toward Smart Manufacturing Metaverse via Digital Twinning in Extended Reality11
Multiphysics Missing Data Synthesis: A Machine Learning Approach for Mitigating Data Gaps and Artifacts11
Reconstruction Algorithm for Complex Dexel Models Based on Composite Block Partition11
The Role of Deep Learning in Manufacturing Applications: Challenges and Opportunities11
An Experimental Study on the Design of Interaction Modalities in Augmented Reality for Industrial Robot Programming11
Discovering a Failure Taxonomy for Early Design of Complex Engineered Systems Using Natural Language Processing11
Special Issue: Highlights of CIE 202411
Linking Geometric Features to Distortion Risk in Laser Powder Bed Fusion via Clustering11
Computational Modeling of Spectral Radiance Emitted by Atmospheric Plasma Induced by Hypersonic Flows11
Teeth Mold Point Cloud Completion Via Data Augmentation and Hybrid RL-GAN10
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-Box Design Problems10
Advancing Thermal Physics-Informed PointNet Distortion Prediction Capabilities in Wire Arc-Directed Energy Deposition10
Aligning Agents with Experts in Material Selection: Prompting, Size, and Reasoning10
Physical Artificial Intelligence for Powering the Next Revolution in Robotics10
A Hybrid Algorithm Based on GRNN and Grasshopper Optimization Algorithm for Welding Nugget Diameter Prediction10
Determination of Multi-Component Failure in Automotive System Using Deep Learning10
Supply Chain Risk Management With Large Language Models: An Application for Natural Hazard Monitoring10
LLM4CAD: Multimodal Large Language Models for Three-Dimensional Computer-Aided Design Generation10
Transfer Learning of Motor Difficulty Classification in Physical Human–Robot Interaction Using Electromyography10
Incremental Machine Learning-Integrated Blockchain for Real-Time Security Protection in Cyber-Enabled Manufacturing Systems10
Soft- and Hard-Kill Hybrid Graphics Processing Unit-Based Bidirectional Evolutionary Structural Optimization10
Human Digital Twin, the Development and Impact on Design9
Virtual Footwear Try-On in Augmented Reality Using Deep Learning Models9
Advancements in Kinematic Synthesis: Data-Driven Methods for Mechanism Design9
An Enhanced Design Concept Evaluation Approach Incorporating Large Language Models and Heterogeneous Preference Fusion9
Estimation of Control Intervals for Reinforcement Learning-Based Manufacturing-Line Control9
A Framework for the Simultaneous Multilevel Design Exploration and Decision Support of Material Structures and Manufacturing Processes9
Dynamic Sensor Selection for Efficient Monitoring of Coupled Multidisciplinary Systems9
Special Issue: Machine Learning and Representation Issues in CAD/CAM9
A MBSE and LLM driven method for intelligent generation of aerial bomb design solution9
Understanding the Impact of Applying Large Language Model in Engineering Design Education9
An Evolutionary Approach of Grasp Synthesis for Sheet Metal Parts With Multitype Grippers9
Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM9
Enhancing Information Security in Smart Manufacturing Through Least Significant Bit Steganography in Engineering Drawings9
Demand Estimation for Evolving Products Considering Network Effects: A Networked Affinity Dynamics Model9
A Multi-Fidelity Approach for Reliability Assessment Based on the Probability of Classification Inconsistency9
Transformer-Fused Level Set UNet3+ for Monitoring of Iron Ore Pellet Size Distribution9
Fuzzy Recurrence Plots for Shallow Learning-Based Blockage Detection in a Centrifugal Pump Using Pre-Trained Image Recognition Models9
Prognostics and Health Management of Unmanned Surface Vessels: Past, Present, and Future9
Intelligent Design 4.0: Paradigm Evolution Toward the Agentic Artificial Intelligence Era9
Multi-Task Learning for Intention and Trajectory Prediction in Human–Robot Collaborative Disassembly Tasks8
Reviewer’s Recognition8
A New Multi-Objective Genetic Algorithm for Assembly Line Balancing8
Determining Valid Parameter Ranges for Multiparameter Editing of Three-Dimensional Parametric Computer-Aided Design Models8
Spatial Manipulation in Virtual Peripersonal Space: A Study of Motor Strategies8
Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing8
A Physics-Informed General Convolutional Network for the Computational Modeling of Materials With Damage8
Three-Dimensional-Slice-Super-Resolution-Net: A Fast Few Shooting Learning Model for 3D Super-Resolution Using Slice-Up and Slice-Reconstruction8
Special Issue: Cybersecurity in Manufacturing8
What to Consider at the Development of Educational Programs and Courses About Next-Generation Cyber-Physical Systems?8
Upper Extremity Joint Torque Estimation Through an Electromyography-Driven Model8
Predicting the Optimum Performance of a Vertical-Axis Savonius Wind Rotor With Parametric Modeling Using Artificial Neural Network and Golden Section Method8
A Novel Industrial Software Model for Social Manufacturing8
Leveling Control of Multi-Cylinder Hydraulic Press: A Deep Reinforcement Learning Approach Based on Integral Compensation and Lyapunov Constraints7
Self-Supervised Multilabel Melt Pool Anomaly Classification in Powder Bed Fusion Additive Manufacturing7
Time-Optimal Trajectory Planning for Task-Space Path Tracking With Velocity Uniformity in Digital Light Processing Multi-Material Printing7
Generative Model Predictive Control in Manufacturing Processes: A Review7
An Improved Parameterized Interpolation Method Based on Modified Chord Length7
Hybrid Multi-Scale Convolutional Long Short-Term Memory Network for Remaining Useful Life Prediction and Offset Analysis7
Generative Inverse Design of Aerodynamic Shapes Using Conditional Invertible Neural Networks7
A Framework of Real-Time Knowledge Capture and Formalization for Model-Based Design With Spoken Annotation and Design Operations7
Mean-Variance Minimization Regularized Extreme Learning Machine With Maximum Correntropy Criterion7
Comparative Analysis of Convolutional Neural Network Architectures for Automated Knee Segmentation in Medical Imaging: A Performance Evaluation7
Cross-Domain Transfer Learning for Galvanized Steel Strips Defect Detection and Recognition7
Multi-Level Bayesian Calibration of a Multi-Component Dynamic System Model7
A Computer-Aided Design-Based Tolerance Analysis of Assemblies With Form Defects and Deformations of Nonrigid Parts6
Special Section: Symbiotic Human–Artificial Intelligence Partnership for Next-Generation Factories6
Design for Artificial Intelligence: Proposing a Conceptual Framework Grounded in Data Wrangling6
Learning From Accident Reports Using Language Models: Human Errors and Error Mechanisms in Aviation and Railway Accidents6
Forecasting the Range of Possible Human Hand Movement in Consumer Electronics Disassembly Using Machine Learning6
Shortcutting Monte Carlo Uncertainty Propagation Plans With Matched Digital Nets6
Estimating Motor Control Difficulty in Human–Robot Fine Co-Manipulation Tasks Using Brain Activities6
Do Large Language Models Produce Diverse Design Concepts? A Comparative Study with Human-Crowdsourced Solutions5
Early Quality Prediction of Complex Double-Walled Hollow Turbine Blades Based on Improved Whale Optimization Algorithm5
An Open-Source Olfactory Display to Add the Sense of Smell to the Metaverse5
Toward Embodied Intelligence-Enabled Human–Robot Symbiotic Manufacturing: A Large Language Model-Based Perspective5
JCISE Editorial Board—Year 20245
Vector Field-Based Volume Peeling for Multi-Axis Machining5
FPGA-Powered Solar Photovoltaic Module Defect Classification: Patch-Wise Reusable Convolutional Neural Network Intellectual Properties for High-Speed Edge Processing5
A Survey of Function Failure Identification and Propagation Analysis Methods for System Design5
GenCAD-Self-Repairing: Latent Space Steering for Feasibility-Aware 3D CAD Generation5
Nesting Problems in Additive Manufacturing: Classification and Review5
A Minimum-Control-Trajectory-Deviation Time Grid Reconstruction Strategy for Co-Design Approach5
Reviewer’s Recognition5
Characterizing Sequential Patterns of Human Behavior in Advanced Manufacturing5
Signal Estimation for Vehicle Body Accelerations Using Piecewise Linear System Identification in the Frequency Domain5
Reflections on Designing in the Wild: How Theories of Design Information Manifest in Practice5
An Automated Approach for Segmenting Numerical Control Data With Controller Data for Machine Tools5
Metric-Based Meta-Learning for Cross-Domain Few-Shot Identification of Welding Defect5
Deep Learning-Driven Design of Robot Mechanisms5
An Automatic High-Precision Calibration Method of Legs and Feet for Quadruped Robots Using Machine Vision and Artificial Neural Networks5
A Review of Artificial Intelligence-Driven Approaches for Nanoscale Heat Conduction and Radiation5
Research on the Dynamic Evolution of Product Models Driven by Customer Requirement Based on Similar Cases5
Physics-Informed Fully Convolutional Networks for Forward Prediction of Temperature Field and Inverse Estimation of Thermal Diffusivity4
Role of Median Curves and Surfaces and Their Computations in Coordinate Metrology4
Development of a Microservice Architecture and Services for a Rapid Response Online Product Marketplace4
Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps4
Image2CADSeq: Computer-Aided Design Sequence and Knowledge Inference from Product Images4
Multi-Modal Machine Learning in Engineering Design: A Review and Future Directions4
Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset4
Cervical Spine Finite Element Models for Healthy Subjects: Development and Validation4
A Physics-Driven Method for Determining Wheel—Rail Contact Area With Gradient-Based Optimization4
An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults4
Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries4
Time-Optimized Robot Trajectory Based on Improved Whale Optimization Algorithm in Intelligent Manufacturing4
Physics Informed Synthetic Image Generation for Deep Learning-Based Detection of Wrinkles and Folds4
Fairness- and Uncertainty-Aware Data Generation for Data-Driven Design Based on Active Learning4
Adaptive Network Intervention for Complex Systems: A Hierarchical Graph Reinforcement Learning Approach4
Study of Electroencephalograph-Based Evaluation Method of Car Sound Quality4
Metacomputing for Directly Computable Multiphysics Models4
Mathematical Principle for Calculating Contacting Curve Length of Involute Helicon Gearing4
Zero-Trust for the System Design Lifecycle4
Predicting the Mechanical Behavior of Additively Manufactured Mechanical Metamaterials Using Point Cloud Representation Learning4
Extended Reality in Industry and Healthcare: Current Trends and Future Perspectives4
Digital Twin-Enabled Temporal Uncertainty Mitigation for Human–Robot Collaborative Assembly in Distributed Control System4
A Framework for Hybrid Agent-Network Analysis for Mission Assurance4
Towards Data and Model Interoperability for Industrial Extended Reality in Manufacturing4
Opportunities and Challenges of Quantum Computing for Engineering Optimization4
Spatial Transform Depthwise Over-Parameterized Convolution Recurrent Neural Network for License Plate Recognition in Complex Environment4
Computing a Sparse Approximate Inverse on Quantum Annealing Machines4
Reusing and Extending Standards-Based Unit Manufacturing Process Models for Characterizing Sustainability Performance3
Algorithm for Detecting Load-Carrying Regions Within the Tip Seat of an Indexable Cutting Tool3
Medium Voltage Direct Current Shipboard Power Network Reconfiguration Using Graph-Based Reinforcement Learning3
Special Issue: Networks and Graphs for Engineering Systems and Design3
Characterizations and Optimization for Resilient Manufacturing Systems With Considerations of Process Uncertainties3
Functional Requirements of Software Tools for Laser-Based Powder Bed Fusion Additive Manufacturing for Metals3
Modeling Elastic Cable-Surface Friction for Soft Robots3
An Online Quality Detection Method With Ensemble Learning on Imbalance Data for Wave Soldering3
Feature Extraction Based on Self-Supervised Learning for Remaining Useful Life Prediction3
On a Sampling-Based Method for Multi-Objective Robust Optimization3
A Bayesian Hierarchical Model for Extracting Individuals’ Theory-Based Causal Knowledge3
Reflect–Express–Transform: Investigating Speech-Based Iterative Digital Design for Young Designers3
A Particle Finite Element Method for Additive Manufacturing Simulations3
Prediction of Tool Wear by Improved Deep Belief Networks Based on Multisensor Signals3
Special Issue: Highlights of CIE 20233
A Deep Convolutional Neural Network-Based Method for Self-Piercing Rivet Joint Defect Detection3
Special Issue: Human–Robot Collaboration in Industry 5.03
CarbonKG: Industrial Carbon Emission Knowledge Graph-Based Modeling and Application for Carbon Traceability of Complex Manufacturing Process3
Challenges in Geometry Assurance for Composites Manufacturing3
Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory3
On Designing Evolving Cyber–Physical–Social Systems: A Decision-Based Design Perspective3
A New Optimal Tolerance Allocation Approach in Gear Transmission Mechanisms Including a Dynamic Model3
Deep Reinforcement Learning Based Localization and Tracking of Intruder Drone3
Free Vibration and Buckling Analyses of Functionally Graded Plates With Graphene Platelets Reinforcement3
Evaluating Large Language Models for Material Selection3
A Novel Approach to Line Clipping Against a Rectangular Window3
Special Issue: Machine Intelligence for Engineering Under Uncertainties3
Layered Security Guidance for Data Asset Management in Additive Manufacturing3
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics3
Information Extraction for the SAPPhIRE Model of Causality Using Dependency Parsing, Lexical Database, and Rules3
A Comprehensive Review of Sea Wave Energy Converters: With Industry Focus and Future Artificial Intelligence Prospects2
Multi-Fidelity Physics-Informed Generative Adversarial Network for Solving Partial Differential Equations2
Singularity Structure Optimization for Hexahedral Mesh Via Dual Operations2
A Two-Layer Heterogeneous Ant Colony System With Applications in Part-Picking Planning2
SuperMeshing: Boosting the Mesh Density of Stress Field in Plane-Strain Problems Using Deep Learning Method2
A Data Augmentation Method for Data-Driven Component Segmentation of Engineering Drawings2
Information Embedding in Additively Manufactured Parts Through Printing Speed Control2
pARametric: Empowering In Situ Parametric Modeling in Augment Reality for Personal Fabrication2
Optimal Design and Sensitivity Analysis of the Dynamic Vibration Absorber With Amplifying Mechanism2
Special Issue: Extended Reality in Design and Manufacturing2
Engineering Document Summarization: A Bidirectional Language Model-Based Approach2
A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring2
Opportunities and Gaps in Supply Chain Digital Twin Deployments: A Biopharmaceutical Industry Focus2
Robust Contact Computation in Non-Rigid Variation Simulation2
The Future of Digital Twin Research and Development2
Harnessing Multi-Domain Knowledge for User-Centric Product Conceptual Design2
Toward Fatigue-Tolerant Design of Additively Manufactured Strut-Based Lattice Metamaterials2
A Case Study on Digital Training: Benefits and Unexplored Opportunities2
Reconstruction and Generation of Porous Metamaterial Units Via Variational Graph Autoencoder and Large Language Model2
Integrating Graph Retrieval-Augmented Generation With Large Language Models for Supplier Discovery2
An Efficient Iso-Scallop Toolpath Planning Strategy Using Voxel-Based Computer Aided Design Model2
Special Issue: Geometric Data Processing and Analysis for Advanced Manufacturing2
A Global Feature Reused Network for Defect Detection in Steel Images2
Early Prediction of Human Intention for Human–Robot Collaboration Using Transformer Network2
The Design of a Virtual Prototyping System for Authoring Interactive Virtual Reality Environments From Real-World Scans2
Uncertainty Quantification and Optimal Robust Design for Machining Operations2
Additive Manufacturing In Situ and Ex Situ Geometric Data Registration2
Enhancing Robotic Grasping Detection Accuracy With the R2CNN Algorithm and Force-Closure2
An Enhanced Deep Reinforcement Learning Approach to Motion Planning with Knowledge Transfer and Online Demonstrations2
Methods for the Automated Determination of Sustained Maximum Amplitudes in Oscillating Signals2
Data-Driven Digital Twins for Real-Time Machine Monitoring: A Case Study on a Rotating Machine2
JCISE Editorial – August 20222
Pre-Training of a Large Robotic Design Model2
A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing2
A Trajectory Planning Method for Capture Operation of Space Robotic Arm Based on Deep Reinforcement Learning2
Blockchain-Empowered Federated Learning Applications in Smart Manufacturing: A Literature Review2
Exploring the Intersection of Metaverse, Digital Twins, and Artificial Intelligence in Training and Maintenance2
Reducing the Search Space for Global Minimum: A Focused Regions Identification Method for Least Squares Parameter Estimation in Nonlinear Models2
Design Knowledge as Attention Emphasizer in Large Language Model-Based Sentiment Analysis2
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