| Electromagnetic interference shielding polymers and nanocomposites-a review D Jiang, V Murugadoss, Y Wang, J Lin, T Ding, Z Wang, Q Shao, C Wang, ... Polymer Reviews 59 (2), 280-337, 2019 | 641 | 2019 |
| Application of Bayesian networks in reliability evaluation B Cai, X Kong, Y Liu, J Lin, X Yuan, H Xu, R Ji IEEE Transactions on Industrial Informatics 15 (4), 2146-2157, 2018 | 259 | 2018 |
| Transfer fault diagnosis of bearing installed in different machines using enhanced deep auto-encoder H Zhiyi, S Haidong, J Lin, C Junsheng, Y Yu Measurement 152, 107393, 2020 | 245 | 2020 |
| A review on deep learning applications in prognostics and health management L Zhang, J Lin, B Liu, Z Zhang, X Yan, M Wei Ieee Access 7, 162415-162438, 2019 | 244 | 2019 |
| A novel approach of multisensory fusion to collaborative fault diagnosis in maintenance H Shao, J Lin, L Zhang, D Galar, U Kumar Information Fusion 74, 65-76, 2021 | 242 | 2021 |
| Deep transfer multi-wavelet auto-encoder for intelligent fault diagnosis of gearbox with few target training samples Z He, H Shao, P Wang, JJ Lin, J Cheng, Y Yang Knowledge-Based Systems 191, 105313, 2020 | 217 | 2020 |
| Anti‐liquid‐interfering and bacterially antiadhesive strategy for highly stretchable and ultrasensitive strain sensors based on Cassie‐Baxter wetting state J Lin, X Cai, Z Liu, N Liu, M Xie, BP Zhou, H Wang, Z Guo Advanced functional materials 30 (23), 2000398, 2020 | 214 | 2020 |
| Adaptive kernel density-based anomaly detection for nonlinear systems L Zhang, J Lin, R Karim Knowledge-Based Systems 139, 50-63, 2018 | 155 | 2018 |
| Thermo and light-responsive strategies of smart titanium-containing composite material surface for enhancing bacterially anti-adhesive property J Lin, J Hu, W Wang, K Liu, C Zhou, Z Liu, S Kong, S Lin, Y Deng, Z Guo Chemical Engineering Journal 407, 125783, 2021 | 132 | 2021 |
| Sliding window-based fault detection from high-dimensional data streams L Zhang, J Lin, R Karim IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (2), 289-303, 2016 | 131 | 2016 |
| In-situ constructing visible light CdS/Cd-MOF photocatalyst with enhanced photodegradation of methylene blue C Jing, Y Zhang, J Zheng, S Ge, J Lin, D Pan, N Naik, Z Guo Particuology 69, 111-122, 2022 | 129 | 2022 |
| An integrated strategy for achieving oil-in-water separation, removal, and anti-oil/dye/bacteria-fouling Y Wang, Z Liu, X Wei, K Liu, J Wang, J Hu, J Lin Chemical Engineering Journal 413, 127493, 2021 | 120 | 2021 |
| Restoration of smart grids: Current status, challenges, and opportunities D Fan, Y Ren, Q Feng, Y Liu, Z Wang, J Lin Renewable and Sustainable Energy Reviews 143, 110909, 2021 | 113 | 2021 |
| Facile formation of hierarchical textures for flexible, translucent, and durable superhydrophobic film Z Dai, G Chen, S Ding, J Lin, S Li, Y Xu, B Zhou Advanced Functional Materials 31 (7), 2008574, 2021 | 94 | 2021 |
| Reliability analysis for preventive maintenance based on classical and Bayesian semi-parametric degradation approaches using locomotive wheel-sets as a case study J Lin, J Pulido, M Asplund Reliability Engineering & System Safety 134, 143-156, 2015 | 86 | 2015 |
| Deep learning for track quality evaluation of high-speed railway based on vehicle-body vibration prediction S Ma, L Gao, X Liu, J Lin IEEE Access 7, 185099-185107, 2019 | 84 | 2019 |
| A nearly end-to-end deep learning approach to fault diagnosis of wind turbine gearboxes under nonstationary conditions L Zhang, Q Fan, J Lin, Z Zhang, X Yan, C Li Engineering applications of artificial intelligence 119, 105735, 2023 | 72 | 2023 |
| Metal organic framework-derived C-doped ZnO/TiO2 nanocomposite catalysts for enhanced photodegradation of Rhodamine B Y Wang, X Liu, L Guo, L Shang, S Ge, G Song, N Naik, Q Shao, J Lin, ... Journal of Colloid and Interface Science 599, 566-576, 2021 | 72 | 2021 |
| An angle-based subspace anomaly detection approach to high-dimensional data: With an application to industrial fault detection L Zhang, J Lin, R Karim Reliability Engineering & System Safety 142, 482-497, 2015 | 67 | 2015 |
| The GALAH survey: multiple stars and our Galaxy-I. A comprehensive method for deriving properties of FGK binary stars G Traven, S Feltzing, T Merle, M Van der Swaelmen, K Čotar, R Church, ... Astronomy & Astrophysics 638, A145, 2020 | 64 | 2020 |