| Evaluation and prediction of bond strength of GFRP-bar reinforced concrete using artificial neural network optimized with genetic algorithm F Yan, Z Lin, X Wang, F Azarmi, K Sobolev Composite Structures 161, 441-452, 2017 | 125 | 2017 |
| Mechanical, electrochemical, and durability behavior of graphene nano-platelet loaded epoxy-resin composite coatings X Wang, F Tang, X Qi, Z Lin Composites Part B: Engineering 176, 107103, 2019 | 55 | 2019 |
| 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 | 50 | 2021 |
| Graphene reinforced composites as protective coatings for oil and gas pipelines X Wang, X Qi, Z Lin, D Battocchi Nanomaterials 8 (12), 1005, 2018 | 49 | 2018 |
| Machine learning-enriched lamb wave approaches for automated damage detection Z Zhang, H Pan, X Wang, Z Lin Sensors 20 (6), 1790, 2020 | 47 | 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 | 45 | 2020 |
| Robust, hydrophobic anti-corrosion coating prepared by PDMS modified epoxy composite with graphite nanoplatelets/nano-silica hybrid nanofillers X Wang, Z Lin Surface and Coatings Technology 421, 127440, 2021 | 44 | 2021 |
| Enhanced protective coatings based on nanoparticle fullerene C60 for oil & gas pipeline corrosion mitigation X Wang, F Tang, X Qi, Z Lin, D Battocchi, X Chen Nanomaterials 9 (10), 1476, 2019 | 38 | 2019 |
| 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 | 27 | 2018 |
| 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 | 17 | 2018 |
| Morphologic and synergistic effects of GNP/NS binary-filler-based multifunctional coatings with robust anti-corrosion and hydrophobic properties X Wang, Z Lin Progress in Organic Coatings 157, 106286, 2021 | 15 | 2021 |
| 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 | 13 | 2022 |
| 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 | 13 | 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 | 11 | 2020 |
| Electrochemical characterization of the soils surrounding buried or embedded steel elements X Wang, X Qi, Z Lin, J Wang, N Gong Pipelines 2016, 110-116, 2016 | 10 | 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 | 9 | 2022 |
| Embedded wireless passive sensor networks for health monitoring of welded joints in onshore metallic pipelines H Pan, R Ge, W Xingyu, W Jinhui, G Na, L Zhibin Proceedings of the ASCE, 2017 | 8 | 2017 |
| Improved element-level bridge inspection criteria for better bridge management and preservation Z Lin, H Pan, X Wang, M Li Mountain-Plains Consortium, Fargo, 2019 | 7 | 2019 |
| Deep learning-enriched stress level identification of pretensioned rods via guided wave approaches Z Zhang, F Tang, Q Cao, H Pan, X Wang, Z Lin Buildings 12 (11), 1772, 2022 | 5 | 2022 |
| Corrosion-induced damage identification in metallic structures using machine learning approaches Z Zhang, X Wang, H Pan, Z Lin Proceedings of the 2019 Defense TechConnect Innovation Summit, National …, 2019 | 5 | 2019 |
