Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems

Aims & Scope

Contributions are welcomed in all areas of design, development, and applications of NDE and SHM in engineering systems, including: Sensors, electronic hardware, testing methodologies, diagnostic feature extraction, damage classification, diagnostic decision support, prognosis, service life prediction; Theoretical developments, numerical analysis and hardware-in-the-loop simulations supporting NDE and SHM methodologies; Continuous and periodic condition assessment using ultrasonics, acoustic emission, vibrations, radiography, electromagnetics, optics, imaging, and other traditional and emerging technologies - on-line and off-line diagnostic approaches; Applications of NDE and SHM in mechanical, structural, aerospace, naval, and automotive engineering: electronics, systems, nuclear, and off-shore engineering; harsh or extreme environments; power systems, materials testing, manufacturing processes, product quality control, fault and failure analysis in engineering systems

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	1.9
2024	2.00

Journal Rank

Year	Value
2024	11590

Journal Citation Indicator

Year	Value
2024	239

SJR (SCImago Journal Rank)

Year	Value
2024	0.500

Quartile

Year	Value
2024	Q2

h-index

Year	Value
2024	18

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Engineering, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Linear and Nonlinear Ultrasonic Techniques for Monitoring Stress-Induced Damages in Concrete

  Citation: 32

  Authors: Anna, Aguinaldo, Mario Daniele, Tribikram

• An Intelligent Prediction for Detecting Bearing Vibration Characteristics Using a Machine Learning Model

  Citation: 23

  Authors: Vishal G., R. G.

• A Bayesian Optimized Discriminant Analysis Model for Condition Monitoring of Face Milling Cutter Using Vibration Datasets

  Citation: 21

  Authors: Naman S., Abhishek D., R., Kaushal A., Rohan S., Atharva M.

• Local Interaction Simulation Approach for Efficient Modeling of Linear and Nonlinear Ultrasonic Guided Wave Active Sensing of Complex Structures

  Citation: 18

  Authors: Yanfeng, Carlos E. S.

• Nonlinear Interactions of Lamb Waves With a Delamination in Composite Laminates

  Citation: 16

  Authors: Akhilendra S., Yamnesh, D. M.

• Automated In-Process Cure Monitoring of Composite Laminates Using a Guided Wave-Based System With High-Temperature Piezoelectric Transducers

  Citation: 16

  Authors: Tyler B., Fuh-Gwo

• Toward a Big Data-Based Approach: A Review on Degradation Models for Prognosis of Critical Infrastructure

  Citation: 16

  Authors: Guru, Xian-Xun, Budhaditya, Daijiro

• Numerical Analysis and Experimental Validation of an Nondestructive Evaluation Method to Measure Stress in Rails

  Citation: 16

  Authors: Amir, Piervincenzo

• Fatigue Damage Diagnostics of Composites Using Data Fusion and Data Augmentation With Deep Neural Networks

  Citation: 15

  Authors: Shweta, Stephen, João Paulo

• A Simulative and Experimental Approach Toward Eddy Current Nondestructive Evaluation of Manufacturing Flaws and Operational Damage in CFRP Composites

  Citation: 15

  Authors: Robin, Mohammad, Victor, David

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