Emerging data technology in structural health monitoring: compressive sensing technology

Compressed sensing

Donoho, D. L. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.871582 · Cited by 23,994 · see citing works

Compressed sensing

Donoho, D. L. (2004) · Cited by 16,703 · see citing works

Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information

Candes, E. J., Romberg, J., & Tao, T. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2005.862083 · Cited by 15,639 · see citing works

Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit

Tropp, J. A., & Gilbert, A. C. (2007) · IEEE Transactions on Information Theory · doi:10.1109/tit.2007.909108 · Cited by 9,828 · see citing works

Matching pursuits with time-frequency dictionaries

Mallat, S., & Zhang, Z. (1993) · IEEE Transactions on Signal Processing · doi:10.1109/78.258082 · Cited by 9,023 · see citing works

Decoding by Linear Programming

Candès, E. J., & Tao, T. (2005) · IEEE Transactions on Information Theory · doi:10.1109/tit.2005.858979 · Cited by 6,987 · see citing works

CoSaMP: Iterative signal recovery from incomplete and inaccurate samples

Needell, D., & Tropp, J. A. (2008) · Applied and Computational Harmonic Analysis · doi:10.1016/j.acha.2008.07.002 · Cited by 4,449 · see citing works

Compressive Sensing [Lecture Notes]

Baraniuk, R. G. (2007) · IEEE Signal Processing Magazine · doi:10.1109/msp.2007.4286571 · Cited by 4,203 · see citing works

Single-pixel imaging via compressive sampling

Duarte, M. F., Davenport, M. A., Takhar, D., Laska, J. N., Sun, T., Kelly, K. F., & Baraniuk, R. G. (2008) · IEEE Signal Processing Magazine · doi:10.1109/msp.2007.914730 · Cited by 3,596 · see citing works

Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems

Figueiredo, M. A. T., Nowak, R. D., & Wright, S. J. (2007) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2007.910281 · Cited by 3,531 · see citing works

For most large underdetermined systems of linear equations the minimal 𝓁 1 ‐norm solution is also the sparsest solution

Donoho, D. L. (2006) · Communications on Pure and Applied Mathematics · doi:10.1002/cpa.20132 · Cited by 2,474 · see citing works

Subspace Pursuit for Compressive Sensing Signal Reconstruction

Dai, W., & Milenković, O. (2009) · IEEE Transactions on Information Theory · doi:10.1109/tit.2009.2016006 · Cited by 2,388 · see citing works

Compressed Sensing MRI

Lustig, M. S., Donoho, D. L., Santos, J. M., & Pauly, J. M. (2008) · IEEE Signal Processing Magazine · doi:10.1109/msp.2007.914728 · Cited by 2,256 · see citing works

Stable recovery of sparse overcomplete representations in the presence of noise

Donoho, D. L., Elad, M., & Temlyakov, V. N. (2005) · IEEE Transactions on Information Theory · doi:10.1109/tit.2005.860430 · Cited by 2,184 · see citing works

An Interior-Point Method for Large-Scale -Regularized Least Squares

Kim, S.-J., Koh, K., Lustig, M. S., Boyd, S., & Gorinevsky, D. M. (2007) · IEEE Journal of Selected Topics in Signal Processing · doi:10.1109/jstsp.2007.910971 · Cited by 2,091 · see citing works

Compressed sensing : theory and applications

Eldar, Y. C., & Kutyniok, G. (2012) · Cited by 1,840 · see citing works

Compressed Sensing

(2012) · Cambridge University Press eBooks · doi:10.1017/cbo9780511794308 · Cited by 1,664 · see citing works

Sparse Solution of Underdetermined Systems of Linear Equations by Stagewise Orthogonal Matching Pursuit

Donoho, D. L., Tsaig, Y., Drori, I., & Starck, J. (2012) · IEEE Transactions on Information Theory · doi:10.1109/tit.2011.2173241 · Cited by 1,495 · see citing works

Technology developments in structural health monitoring of large-scale bridges

Ko, J. M., & Ni, Y. (2005) · Engineering Structures · doi:10.1016/j.engstruct.2005.02.021 · Cited by 1,014 · see citing works

Uniform Uncertainty Principle and Signal Recovery via Regularized Orthogonal Matching Pursuit

Needell, D., & Vershynin, R. (2008) · Foundations of Computational Mathematics · doi:10.1007/s10208-008-9031-3 · Cited by 965 · see citing works

Compressed sensing with coherent and redundant dictionaries

Candès, E. J., Eldar, Y. C., Needell, D. M., & Randall, P. (2010) · Applied and Computational Harmonic Analysis · doi:10.1016/j.acha.2010.10.002 · Cited by 878 · see citing works

Compressive sampling

Candès, E. J. (2007) · Proceedings of the International Congress of Mathematicians Madrid, August 22–30, 2006 · doi:10.4171/022-3/69 · Cited by 614 · see citing works

Compressed Sensing: List of contributors

Eldar, Y. C., & Kutyniok, G. (2012) · Cited by 600 · see citing works

Sparsity adaptive matching pursuit algorithm for practical compressed sensing

Do, T. T., Gan, L., Nguyen, N. H., & Tran, T. D. (2008) · Asilomar Conference on Signals, Systems and Computers (ACSSC) · doi:10.1109/acssc.2008.5074472 · Cited by 575 · see citing works

Structural Health Monitoring in mainland China: Review and Future Trends

Ou, J., & Li, H. (2010) · Structural Health Monitoring · doi:10.1177/1475921710365269 · Cited by 531 · see citing works

A new compressive imaging camera architecture using optical-domain compression

Takhar, D., Laska, J. N., Wakin, M. B., Duarte, M. F., Baron, D., Sarvotham, S., Kelly, K. F., & Baraniuk, R. G. (2006) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.659602 · Cited by 496 · see citing works

Structural health monitoring of a cable-stayed bridge using smart sensor technology: deployment and evaluation

Jang, S., Jo, H., Cho, S., Mechitov, K. A., Rice, J. A., Sim, S., Jung, H., Yun, C., Spencer, B. F., & Agha, G. (2010) · Smart Structures and Systems · doi:10.12989/sss.2010.6.5_6.439 · Cited by 429 · see citing works

Compressive sensing

Baraniuk, R. G. (2008) · Conference on Information Sciences and Systems · doi:10.1109/ciss.2008.4558479 · Cited by 408 · see citing works

Analog-to-Information Conversion via Random Demodulation

Kirolos, S., Laska, J., Wakin, M., Duarte, M., Baron, D., Ragheb, T., Massoud, Y., & Baraniuk, R. (2006) · 2006 IEEE Dallas/CAS Workshop on Design, Applications, Integration and Software · doi:10.1109/dcas.2006.321036 · Cited by 393 · see citing works

Compressive wireless sensing

Bajwa, W. U., Haupt, J., Sayeed, A. M., & Nowak, R. D. (2006) · ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) · doi:10.1145/1127777.1127801 · Cited by 319 · see citing works

A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation

Wen, Z., Yin, W., Goldfarb, D., & Zhang, Y. (2010) · SIAM Journal on Scientific Computing · doi:10.1137/090747695 · Cited by 280 · see citing works

Compressive sampling–based data loss recovery for wireless sensor networks used in civil structural health monitoring

Bao, Y., Li, H., Sun, X., Yu, Y. P., & Ou, J. (2012) · Structural Health Monitoring · doi:10.1177/1475921712462936 · Cited by 188 · see citing works

Compressive sampling for accelerometer signals in structural health monitoring

Bao, Y., Beck, J. L., & Li, H. (2010) · Structural Health Monitoring · doi:10.1177/1475921710373287 · Cited by 161 · see citing works

Compressive sensing of the Tohoku-Oki Mw 9.0 earthquake: Frequency-dependent rupture modes

Yao, H., Gerstoft, P., Shearer, P. M., & Mecklenbräuker, C. F. (2011) · Geophysical Research Letters · doi:10.1029/2011gl049223 · Cited by 157 · see citing works

Structural Health Monitoring of Innovative Canadian Civil Engineering Structures

Mufti, A. A. (2002) · Structural Health Monitoring · doi:10.1177/147592170200100106 · Cited by 115 · see citing works

Fighting the Curse of Dimensionality: Compressive Sensing in Exploration Seismology

Herrmann, F. J., Friedlander, M. P., & Yılmaz, Ö. (2012) · IEEE Signal Processing Magazine · doi:10.1109/msp.2012.2185859 · Cited by 107 · see citing works

A Single-Pixel Imaging System for Remote Sensing by Two-Step Iterative Curvelet Thresholding

Ma, J. (2009) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2009.2023249 · Cited by 42 · see citing works

Structural damage identification based on substructure sensitivity andl1sparse regularization

Zhou, S., Bao, Y., & Li, H. (2013) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2009547 · Cited by 27 · see citing works

Reordering for Better Compressibility: Efficient Spatial Sampling in Wireless Sensor Networks

Mahmudimanesh, M., Khelil, A., & Suri, N. (2010) · IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (SUTC) · doi:10.1109/sutc.2010.30 · Cited by 20 · see citing works

The Physics of Compressive Sensing and the Gradient-Based Recovery AlgorithmsPreprint

Dai, Q. I., & Sha, W. E. I. (2009) · arXiv (Cornell University) · doi:10.48550/arxiv.0906.1487 · Cited by 17 · see citing works

Local Access to Sparse and Large Global Information in P2P Networks: A Case for Compressive Sensing

Gaeta, R., Grangetto, M., & Sereno, M. (2010) · IEEE International Conference on Peer-to-Peer Computing (P2P) · doi:10.1109/p2p.2010.5569971 · Cited by 10 · see citing works

A compressive sensing framework for seismic source parameter estimation

Rodriguez, I. V., Sacchi, M. D., & Gu, Y. J. (2012) · Geophysical Journal International · doi:10.1111/j.1365-246x.2012.05659.x · Cited by 9 · see citing works

The application of compressed sensing to long-term acoustic emission-based structural health monitoring

Cattaneo, A., Park, G., Farrar, C. R., & Mascareñas, D. (2012) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.917381 · Cited by 8 · see citing works

Compressive sampling based approach for identification of moving loads distribution on cable-stayed bridges

Bao, Y., Li, H., Zhang, F., & Ou, J. (2013) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.2009542 · Cited by 5 · see citing works

Robust diagnostics for Bayesian compressive sensing with applications to structural health monitoring

Huang, Y., Beck, J. L., Li, H., & Wu, S. (2011) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.880687 · Cited by 5 · see citing works

Recovery of lost data for wireless sensor network used in structural health monitoring

Bao, Y., Li, H., Sun, X., & Ou, J. (2012) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.915830 · Cited by 3 · see citing works

Review on the new development of vibration-based damage identification for civil engineering structures: 2010–2019

Hou, R., & Xia, Y. (2021) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2020.115741 · Cited by 674 · see citing works

The state of the art in structural health monitoring of cable-stayed bridges

Li, H., & Ou, J. (2015) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-015-0115-x · Cited by 268 · see citing works

Review on Vibration-Based Structural Health Monitoring Techniques and Technical Codes

Yang, Y., Zhang, Y., & Tan, X. (2021) · Symmetry · doi:10.3390/sym13111998 · Cited by 170 · see citing works

Intelligent condition monitoring method for bearing faults from highly compressed measurements using sparse over-complete features

Ahmed, H., Wong, M. L. D., & Nandi, A. K. (2017) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2017.06.027 · Cited by 146 · see citing works

Harnessing data structure for recovery of randomly missing structural vibration responses time history: Sparse representation versus low-rank structure

Yang, Y., & Nagarajaiah, S. (2015) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2015.11.009 · Cited by 127 · see citing works

Structural damage detection based on <i>l</i> ₁ regularization using natural frequencies and mode shapes

Hou, R., Xia, Y., & Zhou, X. (2018) · Structural Control and Health Monitoring · doi:10.1002/stc.2107 · Cited by 127 · see citing works

Selection of regularization parameter for l1-regularized damage detection

Hou, R., Xia, Y., Bao, Y., & Zhou, X. (2018) · Journal of Sound and Vibration · doi:10.1016/j.jsv.2018.02.064 · Cited by 108 · see citing works

Compressive sensing-based lost data recovery of fast-moving wireless sensing for structural health monitoring

Bao, Y., Yu, Y. P., Li, H., Mao, X., Jiao, W., Zou, Z., & Ou, J. (2014) · Structural Control and Health Monitoring · doi:10.1002/stc.1681 · Cited by 91 · see citing works

Sparsel1optimization-based identification approach for the distribution of moving heavy vehicle loads on cable-stayed bridges

Bao, Y., Li, H., Chen, Z., Zhang, F., & Guo, A. (2015) · Structural Control and Health Monitoring · doi:10.1002/stc.1763 · Cited by 73 · see citing works

Genetic algorithm based optimal sensor placement forL1-regularized damage detection

Hou, R., Xia, Y., Xia, Q., & Zhou, X. (2018) · Structural Control and Health Monitoring · doi:10.1002/stc.2274 · Cited by 59 · see citing works

StressD: 2D Stress estimation using denoising diffusion model

Jadhav, Y., Berthel, J. T., Hu, C., Panat, R. P., Beuth, J., & Farimani, A. B. (2023) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2023.116343 · Cited by 53 · see citing works

High-dimensional data analytics in structural health monitoring and non-destructive evaluation: a review paper

Momeni, H., & Ebrahimkhanlou, A. (2022) · Smart Materials and Structures · doi:10.1088/1361-665x/ac50f4 · Cited by 53 · see citing works

Sparse Bayesian learning for structural damage detection under varying temperature conditions

Hou, R., Wang, X., Xia, Q., & Xia, Y. (2020) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2020.106965 · Cited by 50 · see citing works

Structural damage detection of space frame structures with semi-rigid connections

Hou, R., Beck, J. L., Zhou, X., & Xia, Y. (2021) · Engineering Structures · doi:10.1016/j.engstruct.2021.112029 · Cited by 41 · see citing works

Experiment of Structural Geometric Morphology Monitoring for Bridges Using Holographic Visual Sensor

Shao, S., Zhou, Z., Deng, G., Du, P., Jian, C., & Yu, Z. (2020) · Sensors · doi:10.3390/s20041187 · Cited by 40 · see citing works

Corrosion monitoring using a new compressed sensing-based tomographic method

Chang, M., Yuan, S., & Guo, F. (2019) · Ultrasonics · doi:10.1016/j.ultras.2019.105988 · Cited by 32 · see citing works

Survey and study on intelligent monitoring and health management for large civil structure

Yang, L., Fu, C., Li, Y., & Su, L. (2019) · International Journal of Intelligent Robotics and Applications · doi:10.1007/s41315-019-00079-2 · Cited by 27 · see citing works

Performance evaluation of compressive sensing based lost data recovery using OMP for damage index estimation in ultrasonic SHM

Sawant, S., Banerjee, S., & Tallur, S. G. (2021) · Ultrasonics · doi:10.1016/j.ultras.2021.106439 · Cited by 23 · see citing works

A Novel Dense Full-Field Displacement Monitoring Method Based on Image Sequences and Optical Flow Algorithm

Deng, G., Zhou, Z., Shao, S., Chu, X., & Jian, C. (2020) · Applied Sciences · doi:10.3390/app10062118 · Cited by 22 · see citing works

Damage Detection in Bridge Structures through Compressed Sensing of Crowdsourced Smartphone Data

Talebi-Kalaleh, M., & Mei, Q. (2024) · Structural Control and Health Monitoring · doi:10.1155/2024/5436675 · Cited by 21 · see citing works

Lightweight structural health monitoring and safety evaluation: Review and case studies

Li, D., Li, B., Wang, T., & Zhang, J. (2025) · Advances in Structural Engineering · doi:10.1177/13694332251325043 · Cited by 16 · see citing works

Revolutionizing structural health monitoring in marine environment with internet of things: a comprehensive review

Selvaprasanth, P., & Malathy, R. (2025) · Innovative Infrastructure Solutions · doi:10.1007/s41062-025-01874-6 · Cited by 14 · see citing works

Techno-economical and practical considerations for SHM systems

Carrión, F. J., Quintana, J. A., & Crespo-Sánchez, S. E. (2017) · Journal of Civil Structural Health Monitoring · doi:10.1007/s13349-017-0215-x · Cited by 16 · see citing works

Robust multitask compressive sampling via deep generative models for crack detection in structural health monitoring

Zhang, H., Wu, S., Huang, Y., & Li, H. (2023) · Structural Health Monitoring · doi:10.1177/14759217231183663 · Cited by 14 · see citing works

Hybrid demodulation method for distributed acoustic sensing based on coherent detection and pulse pair

Chen, W., Jiang, J., Wang, S., Liu, K., Ma, Z., Liang, G., Ding, Z., Zhang, Y., Niu, P., & Liu, T. (2019) · Applied Physics Express · doi:10.7567/1882-0786/ab6132 · Cited by 13 · see citing works

Time-frequency informed stacked long short-term memory-based generative adversarial network for missing data imputation in sensor networks

Wang, Z., Kachireddy, M., Mondal, T. G., Tang, W., & Jahanshahi, M. R. (2025) · Engineering Applications of Artificial Intelligence · doi:10.1016/j.engappai.2025.110973 · Cited by 11 · see citing works

GPU-based fast processing for a distributed acoustic sensor using an LFM pulse

Wang, S., Jiang, J., Wang, S., Ma, Z., Xu, T., Ding, Z., Lv, Z., & Liu, T. (2020) · Applied Optics · doi:10.1364/ao.412184 · Cited by 10 · see citing works

Practical Implementation of Recursive Subspace Identification on Seismically Excited Structures with Fixed Window

Huang, S., Chi, F.-C., & Weng, Y. (2022) · Applied Sciences · doi:10.3390/app122110841 · Cited by 8 · see citing works

An Adaptive Sparse Regularization Method for Response Covariance-Based Structural Damage Detection

Lin, J., Wu, W., Huang, J.-L., Wang, J., Ren, W.-X., Ni, Y., & Wang, L. (2023) · Structural Control and Health Monitoring · doi:10.1155/2023/3496666 · Cited by 8 · see citing works

An approach to improve the spatial resolution of a force mapping sensing system

Negri, L. H., Schiefer, E. M., Paterno, A. S., Müller, M., & Fabris, J. L. (2015) · Measurement Science and Technology · doi:10.1088/0957-0233/27/2/025103 · Cited by 7 · see citing works

Identification of Behavioral Features of Bridge Structure Based on Static Image Sequences

Deng, G., Zhou, Z., Chu, X., & Shao, S. (2020) · Advances in Civil Engineering · doi:10.1155/2020/2815017 · Cited by 6 · see citing works

A Cyberphysical Structural Health Monitoring Framework for Threshold-Free Active Signal Detection and Classification on the Edge

Gullapalli, A., Aburakhis, T., Featherston, C., Pullin, R., Morini, L., & Kundu, A. (2024) · Journal of Nondestructive Evaluation Diagnostics and Prognostics of Engineering Systems · doi:10.1115/1.4066196 · Cited by 3 · see citing works

Structural health monitoring of beam-column connections: a novel method combining empirical mode decomposition and the Newton-Raphson method

Iranmanesh, R., Anjomshoa, E., & Shojaei, M. H. (2025) · International Journal of Structural Integrity · doi:10.1108/ijsi-12-2024-0214 · Cited by 3 · see citing works

High-dimensional data analytics applications in SHM and NDE: tensor analysis of thermal videos

Momeni, H., & Ebrahimkhanlou, A. (2022) · Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems · doi:10.1117/12.2613214 · Cited by 3 · see citing works

Nature Inspired Algorithm for Placing Sensors in Structural Health Monitoring System ‐ Mouth Brooding Fish Approach

Selvaprasanth, P., Rajeshkumar, J., Malathy, R., Karunkuzhali, D., & Nandhini, M. (2021) · Wiley eBooks · doi:10.1002/9781119785521.ch5 · Cited by 3 · see citing works

A unified equivalent model of the l 0 minimization model for structural damage identification

Song, X., Ma, X., Li, R., Yi, W., Ma, L., Zheng, S., & Wang, K. (2025) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2025.113621 · Cited by 2 · see citing works

Damage Identification in Bridge Structures Based on a Novel Whale‐Sand Cat Swarm Optimization Algorithm and an Improved Objective Function

Chen, Z., Wang, Y., Wang, H., Liu, S., & Chan, T. H. T. (2025) · Structural Control and Health Monitoring · doi:10.1155/stc/5587918 · Cited by 1 · see citing works

An Equivalent Nonconvex Regularization Model Based on the Capped-l1 Function for Structural Damage Identification

Ma, X., Li, R., Xiao, Y., Li, X., Deng, Q., & Song, X. (2025) · Journal of Structural Engineering · doi:10.1061/jsendh.steng-14658 · Cited by 1 · see citing works

Structural Geometric Morphology Monitoring for Bridges Using Holographic Visual Sensor

Shao, S., Deng, G., & Zhou, Z. (2021) · Lecture notes in civil engineering · doi:10.1007/978-3-030-64908-1_1 · Cited by 1 · see citing works

Summary of Bridge Health Monitoring System

邓, 吉. (2022) · Hans Journal of Civil Engineering · doi:10.12677/hjce.2022.1112144

Application of Probability Statistics of Set Algebraic Systems Based on Data Mining in the Energy Field

Yu, J. (2024) · EAI Endorsed Transactions on Energy Web · doi:10.4108/ew.6549

Experimental Study of Online Structural Health Monitoring Using the Recursive Subspace Approach

Huang, S., Lee, C.-H., Chen, J.-Q., & Yu, C.-H. (2025) · Structural Control and Health Monitoring · doi:10.1155/stc/3304372

Compressive Sensing for Reconstruction of Noise From an Aeroengine With Elliptic-Shaped Intake

Huang, T., Zhu, J., Mishuris, G., & Huang, X. (2026) · Journal of Turbomachinery · doi:10.1115/1.4072570

Applications of Compressive Sensing Technique in Structural Health Monitoring

Bao, Y. Q., Li, H., & Ou, J. P. (2013) · Key engineering materials · doi:10.4028/www.scientific.net/kem.558.561 · Cited by 1 · see citing works

A Study Of Compressive Sensing For Application To Structural Health Monitoring

Ganesan, V. (2014) · Journal of International Crisis and Risk Communication Research

Compressive sensing for efficient health monitoring and effective damage detection of structures

Jayawardhana, M., Zhu, X., Liyanapathirana, R., & Gunawardana, U. (2016) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2016.07.027 · Cited by 50 · see citing works

Compressive sampling for accelerometer signals in structural health monitoring

Bao, Y., Beck, J. L., & Li, H. (2010) · Structural Health Monitoring · doi:10.1177/1475921710373287 · Cited by 161 · see citing works

Compressive Sensing for Structural Damage Detection of Reinforced Concrete Structures

Jayawardhana, M., Zhu, X., Liyanapathirana, R., & Gunawardana, U. (2013) · Key engineering materials · doi:10.4028/www.scientific.net/kem.569-570.742 · Cited by 2 · see citing works