Measurement Science and Technology

Papers
(The H4-Index of Measurement Science and Technology is 33. 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 2020-11-01 to 2024-11-01.)
ArticleCitations
Few shot cross equipment fault diagnosis method based on parameter optimization and feature mertic124
In-situ measurement and monitoring methods for metal powder bed fusion: an updated review120
Improved YOLOv3 model with feature map cropping for multi-scale road object detection113
Bearing fault diagnosis using transfer learning and optimized deep belief network83
Development of compact electronic noses: a review82
VMD based trigonometric entropy measure: a simple and effective tool for dynamic degradation monitoring of rolling element bearing71
Rolling bearing fault diagnosis based on 2D time-frequency images and data augmentation technique55
An effective health indicator for the Pelton wheel using a Levy flight mutated genetic algorithm52
Interpretability of deep convolutional neural networks on rolling bearing fault diagnosis48
Ruthenium-based fast-responding pressure-sensitive paint for measuring small pressure fluctuation in low-speed flow field47
Digital twin-driven machine learning: ball bearings fault severity classification45
Metrological characteristics for the calibration of surface topography measuring instruments: a review44
Review of high-speed imaging with lab-based x-ray computed tomography44
Detection of impact on aircraft composite structure using machine learning techniques43
Performance evaluation of terrestrial laser scanners—a review42
Raw GNSS observations from Android smartphones: characteristics and short-baseline RTK positioning performance41
Generative adversarial network and transfer-learning-based fault detection for rotating machinery with imbalanced data condition40
Development of a new high-precision friction test platform and experimental study of friction characteristics for pneumatic cylinders40
Tool wear estimation using a CNN-transformer model with semi-supervised learning39
A novel performance trend prediction approach using ENBLS with GWO38
Bearing fault diagnosis based on optimized variational mode decomposition and 1D convolutional neural networks37
Adversarial domain adaptation with classifier alignment for cross-domain intelligent fault diagnosis of multiple source domains37
Data augmentation for rolling bearing fault diagnosis using an enhanced few-shot Wasserstein auto-encoder with meta-learning36
Metal-oxide gas sensors for exhaled-breath analysis: a review36
Accuracy assessment of direct georeferencing UAV images with onboard global navigation satellite system and comparison of CORS/RTK surveying methods36
An ameliorated African vulture optimization algorithm to diagnose the rolling bearing defects36
Time-resolved particle image velocimetry36
An improved deep residual network with multiscale feature fusion for rotating machinery fault diagnosis35
Autocorrelation energy and aquila optimizer for MED filtering of sound signal to detect bearing defect in Francis turbine35
A review on deep learning in planetary gearbox health state recognition: methods, applications, and dataset publication35
Airborne LiDAR: state-of-the-art of system design, technology and application35
A strip steel surface defect detection method based on attention mechanism and multi-scale maxpooling34
LOSGAN: latent optimized stable GAN for intelligent fault diagnosis with limited data in rotating machinery33
Bearing fault diagnosis method based on a multi-head graph attention network33
Remaining useful life prediction of lithium-ion batteries using EM-PF-SSA-SVR with gamma stochastic process33
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