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 2021-11-01 to 2025-11-01.)
ArticleCitations
Sub-Second Prediction of the Heatmap of Powder-Beds in Additive Manufacturing Using Deep Encoder–Decoder Convolutional Neural Networks107
STEP-NC Process Planning for Powder Bed Fusion Additive Manufacturing56
Surrogate Modeling of Nonlinear Dynamic Systems: A Comparative Study45
Online Maintenance Prioritization Via Monte Carlo Tree Search and Case-Based Reasoning45
Putting the Ghost in the Machine: Emulating Cognitive Style in Large Language Models37
Automatically Discovering Mechanical Functions From Physical Behaviors via Clustering33
Pointing Tasks Using Spatial Audio on Smartphones for People With Vision Impairments24
Optimizing Robotic Manipulation With Decision-RWKV: A Recurrent Sequence Modeling Approach for Lifelong Learning24
A Quantitative Insight Into the Role of Skip Connections in Deep Neural Networks of Low Complexity: A Case Study Directed at Fluid Flow Modeling22
A Digital Twin-Based Method for Assembly Deviations Analysis22
A Robust Model for Hydrogen Supply Chain Network Design in China Under Renewable Energy Uncertainty22
Risk-Bounded and Probabilistic Roadmap-Based Motion Planner for Arbitrarily Shaped Robots With Uncertainty21
ImpersonatAR: Using Embodied Authoring and Evaluation to Prototype Multi-Scenario Use Cases for Augmented Reality Applications21
A Multi-Sized Unit Cell Method for the Design of LPBF Lattice Support Structures Concerning Complex Geometries21
Product Perceptual Similarity Evaluation: From Attributive Error to Human Knowledge Hierarchy19
Self-Supervised Learning of Spatially Varying Process Parameter Models for Robotic Finishing Tasks19
Internal Leakage Detection in Hydraulic Pump Using Model-Agnostic Feature Ranking and Ensemble Classifiers18
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study17
Machine Learning Based Developing Flow Control Technique Over Circular Cylinders16
Machine-Learning Metacomputing for Materials Science Data16
Designing Evolving Cyber-Physical-Social Systems: Computational Research Opportunities16
MODAL-DRN-BL: A Framework for Modal Analysis Based on Dilated Residual Broad Learning Networks16
Enhanced Pose Adjustment System for Wing-Box Assembly in Large Aircraft Manufacturing15
Formal Qualitative Physics-Based Reasoning for Functional Decomposition of Engineered Systems15
A Stochastic Reduced-Order Model for Statistical Microstructure Descriptors Evolution14
Accelerating Thermal Simulations in Additive Manufacturing by Training Physics-Informed Neural Networks With Randomly Synthesized Data14
Ontology-Guided Data Sharing and Federated Quality Control With Differential Privacy in Additive Manufacturing14
Cyber-Physical Security Vulnerabilities Identification and Classification in Smart Manufacturing: A Defense-in-Depth Driven Framework and Taxonomy14
What’s in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models Through User-Provided Names in Computer Aided Design Files14
Parameter Identification of an Abrasive Manufacturing Process With Machine Learning of Measured Surface Topography Information13
AnnotateXR: An Extended Reality Workflow for Automating Data Annotation to Support Computer Vision Applications13
Algorithms for Improving Speed and Accuracy of Automated Three-Dimensional Reconstruction With a Depth Camera Mounted on An Industrial Robot13
Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling13
Calibration of RAFM Micromechanical Model for Creep Using Bayesian Optimization for Functional Output12
Deep Learning-Based Flange Dimension Measurement for Industrial Parts by Integrating Self-Supervised Binary Image Segmentation and Contour Detection12
An Large Language Model-Augmented Method to Assist Novice Designers in Divergent Thinking12
An Approach to Variation Simulation of Final Aircraft Assembly With Presence of Sealant12
Designing Robotic Manipulation: Exploring Knowledge Transfer in CausalWorld12
Identify Finger Rotation Angles With ArUco Markers and Action Cameras12
Taxonomy-Driven Graph-Theoretic Framework for Manufacturing Cybersecurity Risk Modeling and Assessment12
Evaluation of Clinical and Technical Parameters to Customize Total Knee Arthroplasty Implants12
Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications12
A Surface Defect Detection Method Via Fusing Multi-Level Features12
Enhancing Robot Calibration Through Reliable High-Order Hermite Polynomials Model and SSA-BP Optimization11
Probabilistic Printability Maps for Laser Powder Bed Fusion Via Functional Calibration and Uncertainty Propagation11
Challenges in Geometry Assurance of Megacasting in the Automotive Industry11
Elicitron: A Large Language Model Agent-Based Simulation Framework for Design Requirements Elicitation11
Bi-LSTM-Based Dynamic Prediction Model for Pulling Speed of Czochralski Single-Crystal Furnace11
Towards Robust Methodology in Large-Scale Urban Reconstruction11
A Quantitative Method for Analyzing Collective Behavior of Multi-Agent Systems Based on Environmental Complexity11
Standard Tessellation Language-Free Adaptive Slicing Scheme for Additive Manufacturing of Cellular Materials11
Band-Limited Vibrotactile Noise Enhances Fingertip Haptic Sensation11
Stress Representations for Tensor Basis Neural Networks: Alternative Formulations to Finger–Rivlin–Ericksen11
A Framework for Inverse Prediction Using Functional Response Data10
ReqNet and ReqSim: A Network and Semantic Similarity Dataset of Requirements From the Tree Structure of System Requirement Specifications10
Discovering a Failure Taxonomy for Early Design of Complex Engineered Systems Using Natural Language Processing10
Efficient Joining Sequence Variation Analysis of Stochastic Batch Assemblies10
Long-Range Risk-Aware Path Planning for Autonomous Ships in Complex and Dynamic Environments10
Impedance Sensitivity Analysis Based on Discontinuous Isogeometric Boundary Element Method in Automotive Acoustics10
Soft- and Hard-Kill Hybrid Graphics Processing Unit-Based Bidirectional Evolutionary Structural Optimization10
Conductivity Modeling of Intense Pulsed Light Sintered Printed Electronics via Gaussian Process-Enhanced RA-GAN10
Data-Driven 3D-Printed Material Data Prediction From Benchmark Specimens10
LLM4CAD: Multimodal Large Language Models for Three-Dimensional Computer-Aided Design Generation10
Visualizing Standardized Model-Based Design and Inspection Data in Augmented Reality9
Reconstruction Algorithm for Complex Dexel Models Based on Composite Block Partition9
The Role of Deep Learning in Manufacturing Applications: Challenges and Opportunities9
Advancing Thermal Physics-Informed PointNet Distortion Prediction Capabilities in Wire Arc-Directed Energy Deposition9
Physical AI for Powering the Next Revolution in Robotics9
An Experimental Study on the Design of Interaction Modalities in Augmented Reality for Industrial Robot Programming9
Linking Geometric Features to Distortion Risk in Laser Powder Bed Fusion via Clustering9
Teeth Mold Point Cloud Completion Via Data Augmentation and Hybrid RL-GAN9
Computational Modeling of Spectral Radiance Emitted by Atmospheric Plasma Induced by Hypersonic Flows9
Multiphysics Missing Data Synthesis: A Machine Learning Approach for Mitigating Data Gaps and Artifacts9
Digital Twins About Humans—Design Objectives From Three Projects9
Special Issue: Highlights of CIE 20249
Incremental Machine Learning-Integrated Blockchain for Real-Time Security Protection in Cyber-Enabled Manufacturing Systems8
A Hybrid Algorithm Based on GRNN and Grasshopper Optimization Algorithm for Welding Nugget Diameter Prediction8
Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM8
Special Issue: Machine Learning and Representation Issues in CAD/CAM8
A Multi-Fidelity Approach for Reliability Assessment Based on the Probability of Classification Inconsistency8
Human Digital Twin, the Development and Impact on Design8
A Framework for the Simultaneous Multilevel Design Exploration and Decision Support of Material Structures and Manufacturing Processes8
A Knowledge-Based Approach Toward Representation and Archiving of Aesthetic Information for Product Conceptual Design8
Enhancing Information Security in Smart Manufacturing Through Least Significant Bit Steganography in Engineering Drawings8
Demand Estimation for Evolving Products Considering Network Effects: A Networked Affinity Dynamics Model8
SEGMENTATION OF ADDITIVE MANUFACTURING DEFECTS USING U-NET8
Design Evaluations in Educational Settings: A Neuroscientific Study of Incentivized Test/Retest on Student Performance8
Determination of Multi-Component Failure in Automotive System Using Deep Learning8
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-Box Design Problems8
Transfer Learning of Motor Difficulty Classification in Physical Human–Robot Interaction Using Electromyography8
Advancements in Kinematic Synthesis: Data-driven Methods for Mechanism Design8
Fuzzy Recurrence Plots for Shallow Learning-Based Blockage Detection in a Centrifugal Pump Using Pre-Trained Image Recognition Models8
Dynamic Sensor Selection for Efficient Monitoring of Coupled Multidisciplinary Systems8
Prognostics and Health Management of Unmanned Surface Vessels: Past, Present, and Future7
A Physics-Informed General Convolutional Network for the Computational Modeling of Materials With Damage7
User-Driven Computer-Assisted Reverse Engineering of Editable CAD Assembly Models7
An Evolutionary Approach of Grasp Synthesis for Sheet Metal Parts With Multitype Grippers7
Understanding the Impact of Applying Large Language Model in Engineering Design Education7
Generative Inverse Design of Aerodynamic Shapes Using Conditional Invertible Neural Networks7
Spatial Manipulation in Virtual Peripersonal Space: A Study of Motor Strategies7
Strut Diameter Uncertainty Prediction by Deep Neural Network for Additively Manufactured Lattice Structures7
Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations7
Multi-Task Learning for Intention and Trajectory Prediction in Human–Robot Collaborative Disassembly Tasks7
Upper Extremity Joint Torque Estimation Through an Electromyography-Driven Model7
A Surrogate Model to Predict Production Performance in Digital Twin-Based Smart Manufacturing7
Special Issue: Cybersecurity in Manufacturing7
Virtual Footwear Try-On in Augmented Reality Using Deep Learning Models7
Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing7
Prediction of Remaining Useful Life Using Fused Deep Learning Models: A Case Study of Turbofan Engines7
What to Consider at the Development of Educational Programs and Courses About Next-Generation Cyber-Physical Systems?7
Graphics Processing Unit-Based Element-by-Element Strategies for Accelerating Topology Optimization of Three-Dimensional Continuum Structures Using Unstructured All-Hexahedral Mesh7
Reviewer’s Recognition7
Special Section: Symbiotic Human–Artificial Intelligence Partnership for Next-Generation Factories6
A New Multi-Objective Genetic Algorithm for Assembly Line Balancing6
Determining Valid Parameter Ranges for Multiparameter Editing of Three-Dimensional Parametric Computer-Aided Design Models6
Three-Dimensional-Slice-Super-Resolution-Net: A Fast Few Shooting Learning Model for 3D Super-Resolution Using Slice-Up and Slice-Reconstruction6
Seeking Human Help to Manage Plan Failure Risks in Semi-Autonomous Mobile Manipulation6
A Computer-Aided Design-Based Tolerance Analysis of Assemblies With Form Defects and Deformations of Nonrigid Parts6
An Automated Approach for Segmenting Numerical Control Data With Controller Data for Machine Tools6
A Survey of Function Failure Identification and Propagation Analysis Methods for System Design6
An Improved Parameterized Interpolation Method Based on Modified Chord Length6
Predicting the Optimum Performance of a Vertical-Axis Savonius Wind Rotor With Parametric Modeling Using Artificial Neural Network and Golden Section Method6
Comparative Analysis of Convolutional Neural Network Architectures for Automated Knee Segmentation in Medical Imaging: A Performance Evaluation6
Self-Supervised Multilabel Melt Pool Anomaly Classification in Powder Bed Fusion Additive Manufacturing6
Estimating Motor Control Difficulty in Human–Robot Fine Co-Manipulation Tasks Using Brain Activities6
Reflections on Designing in the Wild: How Theories of Design Information Manifest in Practice6
Multi-Level Bayesian Calibration of a Multi-Component Dynamic System Model6
Smart Vaccine Manufacturing Using Novel Biotechnology Platforms: A Study During COVID-196
Hybrid Multi-Scale Convolutional Long Short-Term Memory Network for Remaining Useful Life Prediction and Offset Analysis6
A Novel Industrial Software Model for Social Manufacturing6
Cross-Domain Transfer Learning for Galvanized Steel Strips Defect Detection and Recognition6
A Framework of Real-Time Knowledge Capture and Formalization for Model-Based Design With Spoken Annotation and Design Operations6
Time-Optimal Trajectory Planning for Task-Space Path Tracking With Velocity Uniformity in Digital Light Processing Multi-Material Printing6
Early Quality Prediction of Complex Double-Walled Hollow Turbine Blades Based on Improved Whale Optimization Algorithm5
Toward Embodied Intelligence-Enabled Human–Robot Symbiotic Manufacturing: A Large Language Model-Based Perspective5
JCISE Editorial Board—Year 20245
Reviewer’s Recognition5
Design for Artificial Intelligence: Proposing a Conceptual Framework Grounded in Data Wrangling5
The Effect of Different Occupational Background Noises on Voice Recognition Accuracy5
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
Towards Data and Model Interoperability for Industrial Extended Reality in Manufacturing5
Vector Field-Based Volume Peeling for Multi-Axis Machining5
Forecasting the Range of Possible Human Hand Movement in Consumer Electronics Disassembly Using Machine Learning5
Metric-Based Meta-Learning for Cross-Domain Few-Shot Identification of Welding Defect5
Do Large Language Models Produce Diverse Design Concepts? A Comparative Study with Human-Crowdsourced Solutions5
A Review of Virtual Assistants’ Characteristics: Recommendations for Designing an Optimal Human–Machine Cooperation5
Signal Estimation for Vehicle Body Accelerations Using Piecewise Linear System Identification in the Frequency Domain5
Performance Determination of Axial Wind Tunnel Fan With Reverse Engineering, Numerical and Experimental Methods5
A Minimum-Control-Trajectory-Deviation Time Grid Reconstruction Strategy for Co-Design Approach5
Learning from accident reports using language models: human errors and error mechanisms in aviation and railway accidents5
An Open-Source Olfactory Display to Add the Sense of Smell to the Metaverse5
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
A Physics-Driven Method for Determining Wheel—Rail Contact Area With Gradient-Based Optimization4
Spatial Transform Depthwise Over-Parameterized Convolution Recurrent Neural Network for License Plate Recognition in Complex Environment4
Mathematical Principle for Calculating Contacting Curve Length of Involute Helicon Gearing4
Zero-Trust for the System Design Lifecycle4
An Online Quality Detection Method With Ensemble Learning on Imbalance Data for Wave Soldering4
Special Issue: Human–Robot Collaboration in Industry 5.04
Multi-Modal Machine Learning in Engineering Design: A Review and Future Directions4
Extended Reality in Industry and Healthcare: Current Trends and Future Perspectives4
A Review of AI-Driven Approaches for Nanoscale Heat Conduction and Radiation4
Study of Electroencephalograph-Based Evaluation Method of Car Sound Quality4
A Framework for Hybrid Agent-Network Analysis for Mission Assurance4
An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults4
Predicting the Mechanical Behavior of Additively Manufactured Mechanical Metamaterials Using Point Cloud Representation Learning4
Role of Median Curves and Surfaces and Their Computations in Coordinate Metrology4
Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset4
Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps4
Opportunities and Challenges of Quantum Computing for Engineering Optimization4
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
Layered Security Guidance for Data Asset Management in Additive Manufacturing4
Cervical Spine Finite Element Models for Healthy Subjects: Development and Validation4
CarbonKG: Industrial Carbon Emission Knowledge Graph-Based Modeling and Application for Carbon Traceability of Complex Manufacturing Process4
Metacomputing for Directly Computable Multiphysics Models4
Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries4
Solving Inverse Heat Transfer Problems Without Surrogate Models: A Fast, Data-Sparse, Physics Informed Neural Network Approach4
Implementation of Soft Computing Techniques in Predicting and Optimizing the Operating Parameters of Compression Ignition Diesel Engines: State-of-the-Art Review, Challenges, and Future Outlook3
Challenges in Geometry Assurance for Composites Manufacturing3
Special Issue: Machine Intelligence for Engineering Under Uncertainties3
Feature Extraction Based on Self-Supervised Learning for Remaining Useful Life Prediction3
Special Issue: Highlights of CIE 20233
Prediction of Tool Wear by Improved Deep Belief Networks Based on Multisensor Signals3
Deep Reinforcement Learning Based Localization and Tracking of Intruder Drone3
A new optimal tolerance allocation approach in gear transmission mechanisms including a dynamic model3
Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory3
A Particle Finite Element Method for Additive Manufacturing Simulations3
Evaluating Large Language Models for Material Selection3
A Genetic Algorithm and RNN-LSTM Model for Remaining Battery Capacity Prediction3
Characterizations and Optimization for Resilient Manufacturing Systems With Considerations of Process Uncertainties3
Physics-Informed Fully Convolutional Networks for Forward Prediction of Temperature Field and Inverse Estimation of Thermal Diffusivity3
User Requirements Analysis on Augmented Reality-Based Maintenance in Manufacturing3
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics3
Reusing and Extending Standards-Based Unit Manufacturing Process Models for Characterizing Sustainability Performance3
Computational Design for Digitally Fabricated 3D Inductive Power Transfer Coils3
Medium Voltage Direct Current Shipboard Power Network Reconfiguration Using Graph-Based Reinforcement Learning3
Concise and Effective Network for 3D Human Modeling From Orthogonal Silhouettes3
A Novel Approach to Line Clipping Against a Rectangular Window3
Functional Requirements of Software Tools for Laser-Based Powder Bed Fusion Additive Manufacturing for Metals3
Modeling Elastic Cable-Surface Friction for Soft Robots3
A Deep Convolutional Neural Network-Based Method for Self-Piercing Rivet Joint Defect Detection3
On a Sampling-Based Method for Multi-Objective Robust Optimization3
Special Issue: Networks and Graphs for Engineering Systems and Design3
A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing3
Free Vibration and Buckling Analyses of Functionally Graded Plates With Graphene Platelets Reinforcement3
Information Extraction for the SAPPhIRE Model of Causality Using Dependency Parsing, Lexical Database, and Rules3
An Efficient Iso-Scallop Toolpath Planning Strategy Using Voxel-Based Computer Aided Design Model2
A Data Augmentation Method for Data-Driven Component Segmentation of Engineering Drawings2
Algorithm for Detecting Load-Carrying Regions Within the Tip Seat of an Indexable Cutting Tool2
A Trajectory Planning Method for Capture Operation of Space Robotic Arm Based on Deep Reinforcement Learning2
A Global Feature Reused Network for Defect Detection in Steel Images2
Automated and Adaptive Geometry Preparation for AR/VR-Applications2
HyBoDT: Hybrid Bounded Distance Transforms of Trimmed NURBS Models2
A Case Study on Digital Training: Benefits and Unexplored Opportunities2
Engineering-Guided Deep Learning of Melt-Pool Dynamics for Additive Manufacturing Quality Monitoring2
The Future of Digital Twin Research and Development2
DesignQA: A Multimodal Benchmark for Evaluating Large Language Models’ Understanding of Engineering Documentation2
An Efficient Conflict Detection and Resolution Scheme for Geometric Constraints Using a Pruning and Backtracking Strategy2
Information Embedding in Additively Manufactured Parts Through Printing Speed Control2
A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring2
On Designing Evolving Cyber-Physical-Social Systems (E-CPSS): A Decision-Based Design Perspective2
Special Issue: Extended Reality in Design and Manufacturing2
Reflect–Express–Transform: Investigating Speech-Based Iterative Digital Design for Young Designers2
Special Issue: Geometric Data Processing and Analysis for Advanced Manufacturing2
Exploring the Intersection of Metaverse, Digital Twins, and Artificial Intelligence in Training and Maintenance2
Design Knowledge as Attention Emphasizer in Large Language Model-Based Sentiment Analysis2
Enhancing Robotic Grasping Detection Accuracy With the R2CNN Algorithm and Force-Closure2
JCISE Editorial – August 20222
Reconstruction and Generation of Porous Metamaterial Units Via Variational Graph Autoencoder and Large Language Model2
Harnessing Multi-Domain Knowledge for User-Centric Product Conceptual Design2
Pre-Training of a Large Robotic Design Model2
Optimal Design and Sensitivity Analysis of the Dynamic Vibration Absorber With Amplifying Mechanism2
Bayesian Optimization LSTM/bi-LSTM Network With Self-Optimized Structure and Hyperparameters for Remaining Useful Life Estimation of Lathe Spindle Unit2
pARametric: Empowering In Situ Parametric Modeling in Augment Reality for Personal Fabrication2
A Bayesian Hierarchical Model for Extracting Individuals’ Theory-Based Causal Knowledge2
Principles and Metrics for Curating Large Engineering Simulation Data Sets for ML2
Integrating Graph Retrieval-Augmented Generation With Large Language Models for Supplier Discovery2
Methods for the Automated Determination of Sustained Maximum Amplitudes in Oscillating Signals2
Singularity Structure Optimization for Hexahedral Mesh Via Dual Operations2
A Highly Efficient Approach for Bi-Level Programming Problems Based on Dominance Determination2
Data-Driven Digital Twins for Real-Time Machine Monitoring: A Case Study on a Rotating Machine2
Long Short-Term Memory-Based Cutting Depth Monitoring System for End Milling Operation2
Toward Fatigue-Tolerant Design of Additively Manufactured Strut-Based Lattice Metamaterials2
Behavioral Modeling of Collaborative Problem Solving in Multiplayer Virtual Reality Manufacturing Simulation Games2
A Two-Layer Heterogeneous Ant Colony System With Applications in Part-Picking Planning2
A Probabilistic Learning Approach Applied to the Optimization of Wake Steering in Wind Farms2
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