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 2021-08-01 to 2025-08-01.)
ArticleCitations
Online Maintenance Prioritization Via Monte Carlo Tree Search and Case-Based Reasoning70
Sub-Second Prediction of the Heatmap of Powder-Beds in Additive Manufacturing Using Deep Encoder–Decoder Convolutional Neural Networks52
Optimizing Robotic Manipulation With Decision-RWKV: A Recurrent Sequence Modeling Approach for Lifelong Learning50
Putting the Ghost in the Machine: Emulating Cognitive Style in Large Language Models40
STEP-NC Process Planning for Powder Bed Fusion Additive Manufacturing33
Automatically Discovering Mechanical Functions From Physical Behaviors via Clustering32
Surrogate Modeling of Nonlinear Dynamic Systems: A Comparative Study24
A Scalable Framework for Process-Aware Thermal Simulation of Additive Manufacturing Processes22
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study21
Product Perceptual Similarity Evaluation: From Attributive Error to Human Knowledge Hierarchy21
A Digital Twin-Based Method for Assembly Deviations Analysis20
A Quantitative Insight Into the Role of Skip Connections in Deep Neural Networks of Low Complexity: A Case Study Directed at Fluid Flow Modeling19
A Robust Model for Hydrogen Supply Chain Network Design in China Under Renewable Energy Uncertainty18
Pointing Tasks Using Spatial Audio on Smartphones for People With Vision Impairments18
A Multi-Sized Unit Cell Method for the Design of LPBF Lattice Support Structures Concerning Complex Geometries18
Risk-Bounded and Probabilistic Roadmap-Based Motion Planner for Arbitrarily Shaped Robots With Uncertainty17
Internal Leakage Detection in Hydraulic Pump Using Model-Agnostic Feature Ranking and Ensemble Classifiers16
ImpersonatAR: Using Embodied Authoring and Evaluation to Prototype Multi-Scenario Use Cases for Augmented Reality Applications16
Self-Supervised Learning of Spatially Varying Process Parameter Models for Robotic Finishing Tasks16
Accelerating Thermal Simulations in Additive Manufacturing by Training Physics-Informed Neural Networks With Randomly Synthesized Data15
Cyber-Physical Security Vulnerabilities Identification and Classification in Smart Manufacturing: A Defense-in-Depth Driven Framework and Taxonomy15
Enhanced Pose Adjustment System for Wing-Box Assembly in Large Aircraft Manufacturing15
A Stochastic Reduced-Order Model for Statistical Microstructure Descriptors Evolution14
Algorithms for Improving Speed and Accuracy of Automated Three-Dimensional Reconstruction With a Depth Camera Mounted on An Industrial Robot13
MODAL-DRN-BL: A Framework for Modal Analysis Based on Dilated Residual Broad Learning Networks13
What’s in a Name? Evaluating Assembly-Part Semantic Knowledge in Language Models Through User-Provided Names in Computer Aided Design Files13
Machine-Learning Metacomputing for Materials Science Data13
Parameter Identification of an Abrasive Manufacturing Process With Machine Learning of Measured Surface Topography Information13
Formal Qualitative Physics-Based Reasoning for Functional Decomposition of Engineered Systems12
Ontology-Guided Data Sharing and Federated Quality Control With Differential Privacy in Additive Manufacturing12
Designing Evolving Cyber-Physical-Social Systems: Computational Research Opportunities12
Machine Learning Based Developing Flow Control Technique Over Circular Cylinders12
Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling12
An Approach to Variation Simulation of Final Aircraft Assembly With Presence of Sealant11
Elicitron: A Large Language Model Agent-Based Simulation Framework for Design Requirements Elicitation11
Identify Finger Rotation Angles With ArUco Markers and Action Cameras11
Deep Learning-Based Flange Dimension Measurement for Industrial Parts by Integrating Self-Supervised Binary Image Segmentation and Contour Detection11
Standard Tessellation Language-Free Adaptive Slicing Scheme for Additive Manufacturing of Cellular Materials11
Monotonic Gaussian Process for Physics-Constrained Machine Learning With Materials Science Applications11
Taxonomy-Driven Graph-Theoretic Framework for Manufacturing Cybersecurity Risk Modeling and Assessment10
Evaluation of Clinical and Technical Parameters to Customize Total Knee Arthroplasty Implants10
Challenges in Geometry Assurance of Megacasting in the Automotive Industry10
Long-Range Risk-Aware Path Planning for Autonomous Ships in Complex and Dynamic Environments10
Designing Robotic Manipulation: Exploring Knowledge Transfer in CausalWorld10
A Surface Defect Detection Method Via Fusing Multi-Level Features10
A Quantitative Method for Analyzing Collective Behavior of Multi-Agent Systems Based on Environmental Complexity10
Band-Limited Vibrotactile Noise Enhances Fingertip Haptic Sensation10
AnnotateXR: An Extended Reality Workflow for Automating Data Annotation to Support Computer Vision Applications10
Calibration of RAFM Micromechanical Model for Creep Using Bayesian Optimization for Functional Output10
An Large Language Model-Augmented Method to Assist Novice Designers in Divergent Thinking10
Bi-LSTM-Based Dynamic Prediction Model for Pulling Speed of Czochralski Single-Crystal Furnace10
Discovering a Failure Taxonomy for Early Design of Complex Engineered Systems Using Natural Language Processing9
Visualizing Standardized Model-Based Design and Inspection Data in Augmented Reality9
Stress Representations for Tensor Basis Neural Networks: Alternative Formulations to Finger–Rivlin–Ericksen9
Special Issue: Highlights of CIE 20249
A Framework for Inverse Prediction Using Functional Response Data9
Multiphysics Missing Data Synthesis: A Machine Learning Approach for Mitigating Data Gaps and Artifacts9
Efficient Joining Sequence Variation Analysis of Stochastic Batch Assemblies9
Enhancing Robot Calibration Through Reliable High-Order Hermite Polynomials Model and SSA-BP Optimization9
Reconstruction Algorithm for Complex Dexel Models Based on Composite Block Partition9
Impedance Sensitivity Analysis Based on Discontinuous Isogeometric Boundary Element Method in Automotive Acoustics9
LLM4CAD: Multimodal Large Language Models for Three-Dimensional Computer-Aided Design Generation9
The Role of Deep Learning in Manufacturing Applications: Challenges and Opportunities9
Probabilistic Printability Maps for Laser Powder Bed Fusion Via Functional Calibration and Uncertainty Propagation9
ReqNet and ReqSim: A Network and Semantic Similarity Dataset of Requirements From the Tree Structure of System Requirement Specifications9
Towards Robust Methodology in Large-Scale Urban Reconstruction9
An Experimental Study on the Design of Interaction Modalities in Augmented Reality for Industrial Robot Programming9
Soft- and Hard-Kill Hybrid Graphics Processing Unit-Based Bidirectional Evolutionary Structural Optimization8
Teeth Mold Point Cloud Completion Via Data Augmentation and Hybrid RL-GAN8
A Hybrid Algorithm Based on GRNN and Grasshopper Optimization Algorithm for Welding Nugget Diameter Prediction8
Incremental Machine Learning-Integrated Blockchain for Real-Time Security Protection in Cyber-Enabled Manufacturing Systems8
Transfer Learning of Motor Difficulty Classification in Physical Human–Robot Interaction Using Electromyography8
Prediction of State of Charge for Lead-Acid Battery Based on LSTM-Attention and LightGBM8
A Nested Weighted Tchebycheff Multi-Objective Bayesian Optimization Approach for Flexibility of Unknown Utopia Estimation in Expensive Black-Box Design Problems8
A Knowledge-Based Approach Toward Representation and Archiving of Aesthetic Information for Product Conceptual Design8
Computational Modeling of Spectral Radiance Emitted by Atmospheric Plasma Induced by Hypersonic Flows8
Digital Twins About Humans—Design Objectives From Three Projects8
Determination of Multi-Component Failure in Automotive System Using Deep Learning8
Automated Planning for Robotic Multi-Resolution Additive Manufacturing8
A Framework for the Simultaneous Multilevel Design Exploration and Decision Support of Material Structures and Manufacturing Processes8
An Evolutionary Approach of Grasp Synthesis for Sheet Metal Parts With Multitype Grippers7
What to Consider at the Development of Educational Programs and Courses About Next-Generation Cyber-Physical Systems?7
Design Evaluations in Educational Settings: A Neuroscientific Study of Incentivized Test/Retest on Student Performance7
Special Issue: Machine Learning and Representation Issues in CAD/CAM7
Human Digital Twin, the Development and Impact on Design7
Graphics Processing Unit-Based Element-by-Element Strategies for Accelerating Topology Optimization of Three-Dimensional Continuum Structures Using Unstructured All-Hexahedral Mesh7
A Multi-Fidelity Approach for Reliability Assessment Based on the Probability of Classification Inconsistency7
Enhancing Information Security in Smart Manufacturing Through Least Significant Bit Steganography in Engineering Drawings7
Dynamic Sensor Selection for Efficient Monitoring of Coupled Multidisciplinary Systems7
Fuzzy Recurrence Plots for Shallow Learning-Based Blockage Detection in a Centrifugal Pump Using Pre-Trained Image Recognition Models7
A Physics-Informed General Convolutional Network for the Computational Modeling of Materials With Damage7
Understanding the Impact of Applying Large Language Model in Engineering Design Education7
Demand Estimation for Evolving Products Considering Network Effects: A Networked Affinity Dynamics Model7
Virtual Footwear Try-On in Augmented Reality Using Deep Learning Models7
SEGMENTATION OF ADDITIVE MANUFACTURING DEFECTS USING U-NET7
Spatial Manipulation in Virtual Peripersonal Space: A Study of Motor Strategies6
Using Physics-Informed Generative Adversarial Networks to Perform Super-Resolution for Multiphase Fluid Simulations6
Prognostics and Health Management of Unmanned Surface Vessels: Past, Present, and Future6
Reviewer’s Recognition6
Determining Valid Parameter Ranges for Multiparameter Editing of Three-Dimensional Parametric Computer-Aided Design Models6
A New Multi-Objective Genetic Algorithm for Assembly Line Balancing6
Multi-Task Learning for Intention and Trajectory Prediction in Human–Robot Collaborative Disassembly Tasks6
User-Driven Computer-Assisted Reverse Engineering of Editable CAD Assembly Models6
Prediction of Remaining Useful Life Using Fused Deep Learning Models: A Case Study of Turbofan Engines6
Evidence-Theory-Based Kinematic Uncertainty Analysis of a Dual Crane System With Epistemic Uncertainty6
Special Issue: Cybersecurity in Manufacturing6
Diffusion Generative Model-Based Learning for Smart Layer-Wise Monitoring of Additive Manufacturing6
Strut Diameter Uncertainty Prediction by Deep Neural Network for Additively Manufactured Lattice Structures6
A Surrogate Model to Predict Production Performance in Digital Twin-Based Smart Manufacturing6
Upper Extremity Joint Torque Estimation Through an Electromyography-Driven Model6
Predicting the Optimum Performance of a Vertical-Axis Savonius Wind Rotor With Parametric Modeling Using Artificial Neural Network and Golden Section Method6
An Improved Parameterized Interpolation Method Based on Modified Chord Length6
Toward Embodied Intelligence-Enabled Human–Robot Symbiotic Manufacturing: A Large Language Model-Based Perspective5
A Survey of Function Failure Identification and Propagation Analysis Methods for System Design5
Reflections on Designing in the Wild: How Theories of Design Information Manifest in Practice5
Time-Optimal Trajectory Planning for Task-Space Path Tracking with Velocity Uniformity in DLP Multi-material Printing5
A Novel Industrial Software Model for Social Manufacturing5
Smart Vaccine Manufacturing Using Novel Biotechnology Platforms: A Study During COVID-195
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
The Effect of Different Occupational Background Noises on Voice Recognition Accuracy5
Design for Artificial Intelligence: Proposing a Conceptual Framework Grounded in Data Wrangling5
Deep Learning-Driven Design of Robot Mechanisms5
A Computer-Aided Design-Based Tolerance Analysis of Assemblies With Form Defects and Deformations of Nonrigid Parts5
Seeking Human Help to Manage Plan Failure Risks in Semi-Autonomous Mobile Manipulation5
Generative Inverse Design of Aerodynamic Shapes Using Conditional Invertible Neural Networks5
Hybrid Multi-Scale Convolutional Long Short-Term Memory Network for Remaining Useful Life Prediction and Offset Analysis5
Three-Dimensional-Slice-Super-Resolution-Net: A Fast Few Shooting Learning Model for 3D Super-Resolution Using Slice-Up and Slice-Reconstruction5
Multi-Level Bayesian Calibration of a Multi-Component Dynamic System Model5
Early Quality Prediction of Complex Double-Walled Hollow Turbine Blades Based on Improved Whale Optimization Algorithm5
Calibration and Optimization of an Insertion Electromagnetic Flowmeter With the Aid of Numerical Analysis5
Estimating Motor Control Difficulty in Human–Robot Fine Co-Manipulation Tasks Using Brain Activities5
An Automated Approach for Segmenting Numerical Control Data With Controller Data for Machine Tools5
Cross-Domain Transfer Learning for Galvanized Steel Strips Defect Detection and Recognition5
Self-Supervised Multilabel Melt Pool Anomaly Classification in Powder Bed Fusion Additive Manufacturing5
Comparative Analysis of Convolutional Neural Network Architectures for Automated Knee Segmentation in Medical Imaging: A Performance Evaluation5
A Framework of Real-Time Knowledge Capture and Formalization for Model-Based Design With Spoken Annotation and Design Operations5
Special Section: Symbiotic Human–Artificial Intelligence Partnership for Next-Generation Factories5
An Open-Source Olfactory Display to Add the Sense of Smell to the Metaverse5
Adaptive Network Intervention for Complex Systems: A Hierarchical Graph Reinforcement Learning Approach4
Zero-Trust for the System Design Lifecycle4
Physics Informed Synthetic Image Generation for Deep Learning-Based Detection of Wrinkles and Folds4
Opportunities and Challenges of Quantum Computing for Engineering Optimization4
JCISE Editorial Board—Year 20244
An Automatic High-Precision Calibration Method of Legs and Feet for Quadruped Robots Using Machine Vision and Artificial Neural Networks4
Reviewer’s Recognition4
Multi-Modal Machine Learning in Engineering Design: A Review and Future Directions4
Solving Inverse Heat Transfer Problems Without Surrogate Models: A Fast, Data-Sparse, Physics Informed Neural Network Approach4
Metacomputing for Directly Computable Multiphysics Models4
SIMD-Optimized Search Over Sorted Data4
Stochastic Defect Localization for Cooperative Additive Manufacturing Using Gaussian Mixture Maps4
Signal Estimation for Vehicle Body Accelerations Using Piecewise Linear System Identification in the Frequency Domain4
Towards Data and Model Interoperability for Industrial Extended Reality in Manufacturing4
Vector Field-Based Volume Peeling for Multi-Axis Machining4
A Minimum-Control-Trajectory-Deviation Time Grid Reconstruction Strategy for Co-Design Approach4
Fairness- and Uncertainty-Aware Data Generation for Data-Driven Design Based on Active Learning4
Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset4
An Online Quality Detection Method With Ensemble Learning on Imbalance Data for Wave Soldering4
Time-Optimized Robot Trajectory Based on Improved Whale Optimization Algorithm in Intelligent Manufacturing4
A Review of Virtual Assistants’ Characteristics: Recommendations for Designing an Optimal Human–Machine Cooperation4
Do Large Language Models Produce Diverse Design Concepts? A Comparative Study with Human-Crowdsourced Solutions4
Performance Determination of Axial Wind Tunnel Fan With Reverse Engineering, Numerical and Experimental Methods4
Study of Electroencephalograph-Based Evaluation Method of Car Sound Quality4
Evaluating Large Language Models for Material Selection3
Special Issue: Highlights of CIE 20233
Functional Requirements of Software Tools for Laser-Based Powder Bed Fusion Additive Manufacturing for Metals3
Challenges in Geometry Assurance for Composites Manufacturing3
A Physics-Driven Method for Determining Wheel—Rail Contact Area With Gradient-Based Optimization3
Predicting the Mechanical Behavior of Additively Manufactured Mechanical Metamaterials Using Point Cloud Representation Learning3
Physics-Informed Fully Convolutional Networks for Forward Prediction of Temperature Field and Inverse Estimation of Thermal Diffusivity3
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
A Deep Convolutional Neural Network-Based Method for Self-Piercing Rivet Joint Defect Detection3
A Genetic Algorithm and RNN-LSTM Model for Remaining Battery Capacity Prediction3
Data-Driven Online Prediction of Discharge Capacity and End-of-Discharge of Lithium-Ion Batteries3
User Requirements Analysis on Augmented Reality-Based Maintenance in Manufacturing3
Special Issue: Human–Robot Collaboration in Industry 5.03
Layered Security Guidance for Data Asset Management in Additive Manufacturing3
Cervical Spine Finite Element Models for Healthy Subjects: Development and Validation3
CarbonKG: Industrial Carbon Emission Knowledge Graph-Based Modeling and Application for Carbon Traceability of Complex Manufacturing Process3
Characterizations and Optimization for Resilient Manufacturing Systems With Considerations of Process Uncertainties3
Concise and Effective Network for 3D Human Modeling From Orthogonal Silhouettes3
Modeling Elastic Cable-Surface Friction for Soft Robots3
Mathematical Principle for Calculating Contacting Curve Length of Involute Helicon Gearing3
Special Issue: Machine Intelligence for Engineering Under Uncertainties3
An Integrated Detection-Prognostics Methodology for Components With Intermittent Faults3
Spatial Transform Depthwise Over-Parameterized Convolution Recurrent Neural Network for License Plate Recognition in Complex Environment3
Harnessing Multi-Domain Knowledge for User-Centric Product Conceptual Design2
A Data Augmentation Method for Data-Driven Component Segmentation of Engineering Drawings2
Optimal Design and Sensitivity Analysis of the Dynamic Vibration Absorber With Amplifying Mechanism2
Reflect–Express–Transform: Investigating Speech-Based Iterative Digital Design for Young Designers2
DesignQA: A Multimodal Benchmark for Evaluating Large Language Models’ Understanding of Engineering Documentation2
pARametric: Empowering In Situ Parametric Modeling in Augment Reality for Personal Fabrication2
Pre-Training of a Large Robotic Design Model2
Special Issue: Extended Reality in Design and Manufacturing2
Medium Voltage Direct Current Shipboard Power Network Reconfiguration Using Graph-Based Reinforcement Learning2
A Probabilistic Learning Approach Applied to the Optimization of Wake Steering in Wind Farms2
Machine Health Management System Using Moving Average Feature With Bidirectional Long-Short Term Memory2
A Novel Approach to Line Clipping Against a Rectangular Window2
Computational Design for Digitally Fabricated 3D Inductive Power Transfer Coils2
A Highly Efficient Approach for Bi-Level Programming Problems Based on Dominance Determination2
A Digital Twin Framework Utilizing Machine Learning for Robust Predictive Maintenance: Enhancing Tire Health Monitoring2
A Global Feature Reused Network for Defect Detection in Steel Images2
Exploring the Intersection of Metaverse, Digital Twins, and Artificial Intelligence in Training and Maintenance2
A Review of the Applications of Machine Learning for Prediction and Analysis of Mechanical Properties and Microstructures in Additive Manufacturing2
Reusing and Extending Standards-Based Unit Manufacturing Process Models for Characterizing Sustainability Performance2
Bayesian Optimization LSTM/bi-LSTM Network With Self-Optimized Structure and Hyperparameters for Remaining Useful Life Estimation of Lathe Spindle Unit2
Toward Fatigue-Tolerant Design of Additively Manufactured Strut-Based Lattice Metamaterials2
A Particle Finite Element Method for Additive Manufacturing Simulations2
A Two-Layer Heterogeneous Ant Colony System With Applications in Part-Picking Planning2
Special Issue: Networks and Graphs for Engineering Systems and Design2
Information Extraction for the SAPPhIRE Model of Causality Using Dependency Parsing, Lexical Database, and Rules2
A Data-Driven Fault Diagnosis Method Using Modified Health Index and Deep Neural Networks of a Rolling Bearing2
Feature Extraction Based on Self-Supervised Learning for Remaining Useful Life Prediction2
Algorithm for Detecting Load-Carrying Regions Within the Tip Seat of an Indexable Cutting Tool2
A Case Study on Digital Training: Benefits and Unexplored Opportunities2
Behavioral Modeling of Collaborative Problem Solving in Multiplayer Virtual Reality Manufacturing Simulation Games2
Long Short-Term Memory-Based Cutting Depth Monitoring System for End Milling Operation2
Integrating Graph Retrieval-Augmented Generation With Large Language Models for Supplier Discovery2
The Future of Digital Twin Research and Development2
A Trajectory Planning Method for Capture Operation of Space Robotic Arm Based on Deep Reinforcement Learning2
Engineering-Guided Deep Learning of Melt-Pool Dynamics for Additive Manufacturing Quality Monitoring2
An Efficient Iso-Scallop Toolpath Planning Strategy Using Voxel-Based Computer Aided Design Model2
Data-Driven Digital Twins for Real-Time Machine Monitoring: A Case Study on a Rotating Machine2
Deep Reinforcement Learning Based Localization and Tracking of Intruder Drone2
Information Embedding in Additively Manufactured Parts Through Printing Speed Control2
Free Vibration and Buckling Analyses of Functionally Graded Plates With Graphene Platelets Reinforcement2
On a Sampling-Based Method for Multi-Objective Robust Optimization2
Physics-Guided, Physics-Informed, and Physics-Encoded Neural Networks and Operators in Scientific Computing: Fluid and Solid Mechanics2
A Bayesian Hierarchical Model for Extracting Individuals’ Theory-Based Causal Knowledge2
Reconstruction and Generation of Porous Metamaterial Units Via Variational Graph Autoencoder and Large Language Model2
HyBoDT: Hybrid Bounded Distance Transforms of Trimmed NURBS Models2
An Efficient Conflict Detection and Resolution Scheme for Geometric Constraints Using a Pruning and Backtracking Strategy2
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