Jorge R. Salas Avila

Author

Also Known As

Avila, Jorge R. Salas, J Avila, J R Salas Avila, J R Salas-Avila, J. Avila, Jorge Salas Avila, Jorge R. Salas Avila, Jorge R. Salas-Avila, Jorge Ricardo Salas Avila, Jorge Ricardo Salas-Avila

Publications

564

Citations

H-Index

Concepts

All Affiliations

University of Manchester Kunming University of Science and Technology Qufu Normal University University of Warwick North University of China

About

Jorge R. Salas Avila is an author at University of Manchester specializing in engineering, instrumentation, and mechanical engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	11	11	445
2	Health Sciences	3	3	69
3	Education	2	2	32
4	Applied Physics	1	1	53
5	Biomedical Engineering	1	1	127

Jorge R. Salas Avila

Publications

505

Citations

H-Index

Page 1

	Year	Citations
Textile-Based Capacitive Sensor for Physical Rehabilitation <i>via</i> Surface Topological Modification Liming Chen, Mingyang Lu, Haosen Yang, ACS Nano Materials ScienceTextile EngineeringSmart TextileContinuous MonitoringEngineering	2020	127
Accurate measurements of plate thickness with variable lift-off using a combined inductive and capacitive sensor Jorge R. Salas Avila, Mingyang Lu, Ruochen Huang, NDT & E International Variable Lift-offMechanical EngineeringCombined InductiveCapacitive SensorInstrumentation	2019	60
A Novel Dual Modality Sensor With Sensitivities to Permittivity, Conductivity, and Permeability Jorge R. Salas Avila, Kin Yau How, Mingyang Lu, IEEE Sensors Journal Electrical EngineeringDual Modality MeasurementEngineeringSensorsFlexible Electronics	2017	53
Depth Evaluation for Metal Surface Defects by Eddy Current Testing Using Deep Residual Convolutional Neural Networks Tian Meng, Yang Tao, Ziqi Chen, IEEE Transactions on Instrumentation and Measurement Convolutional Neural NetworkEngineeringMachine LearningMetal Surface DefectsDrilling	2021	50
Automatic Detection and Imaging of Rivet Hole Defects for Aircraft Structures With Optimized Sensor Array Using Eddy Current Method and Image Analysis Yuchun Shao, Tian Meng, Kuohai Yu, IEEE Sensors Journal Fatigue CrackingOptical Eddy CurrentCondition MonitoringEngineeringImage Analysis	2022	47
A novel feature extraction method of eddy current testing for defect detection based on machine learning Liyuan Yin, Bo Ye, Zhaolin Zhang, NDT & E International Fault DiagnosisCondition MonitoringOptical Eddy CurrentEngineeringMachine Learning	2019	45
Imaging a weld cross-section using a novel frequency feature in multi-frequency eddy current testing Hanyang Xu, Mingyang Lu, Jorge R. Salas Avila, Insight - Non-Destructive Testing and Condition Monitoring Optical Eddy CurrentEngineeringNovel Frequency FeatureMedical ImagingWelding Process	2019	33
Imaging x70 weld cross-section using electromagnetic testing Hanyang Xu, Jorge R. Salas Avila, Fanfu Wu, NDT & E International X70 Weld Cross-sectionEngineeringNondestructive TestingMechanical EngineeringInstrumentation	2018	22
Simultaneous Measurements of Wire Diameter and Conductivity Using a Combined Inductive and Capacitive Sensor Shuang Zhu, Ruochen Huang, Jorge R. Salas Avila, IEEE Sensors Journal Wire DiameterElectrical EngineeringMetallic WiresEngineeringSensors	2020	21
A multi-frequency NDT system for imaging and detection of cracks Jorge R. Salas Avila, Ziqi Chen, Hanyang Xu, EngineeringStainless Steel PlatesCarbon Fibre-reinforced PolymerElectromagnetic CompatibilityComputational Imaging	2018	19

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