| Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection G Gui, H Pan, Z Lin, Y Li, Z Yuan KSCE Journal of Civil Engineering 21, 523-534, 2017 | 277 | 2017 |
| Time-frequency-based data-driven structural diagnosis and damage detection for cable-stayed bridges H Pan, M Azimi, F Yan, Z Lin Journal of Bridge Engineering 23 (6), 04018033, 2018 | 155 | 2018 |
| Effect of melting point on thermodynamics of thin PCM reinforced residential frame walls in different climate zones M Li, Q Cao, H Pan, X Wang, Z Lin Applied Thermal Engineering 188, 116615, 2021 | 65 | 2021 |
| Machine learning-enriched lamb wave approaches for automated damage detection Z Zhang, H Pan, X Wang, Z Lin Sensors 20 (6), 1790, 2020 | 62 | 2020 |
| Comparative study of three carbon additives: Carbon nanotubes, graphene, and fullerene-c60, for synthesizing enhanced polymer nanocomposites X Wang, F Tang, Q Cao, X Qi, M Pearson, M Li, H Pan, Z Zhang, Z Lin Nanomaterials 10 (5), 838, 2020 | 53 | 2020 |
| Pixel-level fatigue crack segmentation in large-scale images of steel structures using an encoder–decoder network C Dong, L Li, J Yan, Z Zhang, H Pan, FN Catbas Sensors 21 (12), 4135, 2021 | 40 | 2021 |
| Vibration-based support vector machine for structural health monitoring H Pan, M Azimi, G Gui, F Yan, Z Lin Experimental Vibration Analysis for Civil Structures: Testing, Sensing …, 2018 | 39 | 2018 |
| Deep BBN learning for health assessment toward decision-making on structures under uncertainties H Pan, G Gui, Z Lin, C Yan KSCE Journal of Civil Engineering 22, 928-940, 2018 | 34 | 2018 |
| Data-driven structural diagnosis and conditional assessment: From shallow to deep learning Z Lin, H Pan, X Wang, M Li Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2018 | 29 | 2018 |
| Improved semi‐active control algorithm for hydraulic damper‐based braced buildings M Azimi, A Rasoulnia, Z Lin, H Pan Structural Control and Health Monitoring 24 (11), e1991, 2017 | 28 | 2017 |
| CNN-LSTM hybrid model to promote signal processing of ultrasonic guided lamb waves for damage detection in metallic pipelines L Shang, Z Zhang, F Tang, Q Cao, H Pan, Z Lin Sensors 23 (16), 7059, 2023 | 25 | 2023 |
| Monitoring epoxy coated steel under combined mechanical loads and corrosion using fiber Bragg grating sensors L Xu, D Zhang, Y Huang, S Shi, H Pan, Y Bao Sensors 22 (20), 8034, 2022 | 22 | 2022 |
| Deep learning empowered structural health monitoring and damage diagnostics for structures with weldment via decoding ultrasonic guided wave Z Zhang, H Pan, X Wang, Z Lin Sensors 22 (14), 5390, 2022 | 19 | 2022 |
| Numerical thermal characterization and performance metrics of building envelopes containing phase change materials for energy-efficient buildings M Li, G Gui, Z Lin, L Jiang, H Pan, X Wang Sustainability 10 (8), 2657, 2018 | 19 | 2018 |
| Enabling damage identification of structures using time series–based feature extraction algorithms H Pan, Z Lin, G Gui Journal of Aerospace Engineering 32 (3), 04019014, 2019 | 18 | 2019 |
| Nano-modified functional composite coatings for metallic structures: Part I-Electrochemical and barrier behavior X Wang, M Pearson, H Pan, M Li, Z Zhang, Z Lin Surface and Coatings Technology 401, 126286, 2020 | 17 | 2020 |
| Nano-modified functional composite coatings for metallic structures: Part II—Mechanical and damage tolerance X Wang, F Tang, Q Cao, X Qi, H Pan, Z Lin, D Battocchi Surface and Coatings Technology 401, 126274, 2020 | 16 | 2020 |
| RF-powered battery-less Wireless Sensor Network in structural monitoring R Ge, H Pan, Z Lin, N Gong, J Wang, X Chen 2016 IEEE international conference on electro information technology (EIT …, 2016 | 16 | 2016 |
| Carbon-based nanoparticle-filled protective coatings for enhanced damage tolerance and corrosion resistance of structural weldment X Wang, F Tang, Q Cao, X Qi, H Pan, X Chen, Z Lin Journal of Materials in Civil Engineering 34 (1), 04021384, 2022 | 11 | 2022 |
| Condition assessment of stay cables through enhanced time series classification using a deep learning approach Z Zhang, J Yan, L Li, H Pan, C Dong arXiv preprint arXiv:2101.03701, 2021 | 10 | 2021 |
Zhibin LinUniversity of Texas at ArlingtonVerified email at uta.edu