| A review of oxygen reduction mechanisms for metal-free carbon-based electrocatalysts R Ma, G Lin, Y Zhou, Q Liu, T Zhang, G Shan, M Yang, J Wang npj Computational Materials 5 (1), 78, 2019 | 825 | 2019 |
| Prediction of near-room-temperature quantum anomalous Hall effect on honeycomb materials SC Wu, G Shan, B Yan Physical review letters 113 (25), 256401, 2014 | 362 | 2014 |
| Flexible transparent PES/silver nanowires/PET sandwich-structured film for high-efficiency electromagnetic interference shielding M Hu, J Gao, Y Dong, K Li, G Shan, S Yang, RKY Li Langmuir 28 (18), 7101-7106, 2012 | 317 | 2012 |
| Recent advances in flexible pressure sensors based on MXene materials R Qin, J Nong, K Wang, Y Liu, S Zhou, M Hu, H Zhao, G Shan Advanced Materials 36 (24), 2312761, 2024 | 296 | 2024 |
| Catalytic fast pyrolysis of lignocellulosic biomass: Critical role of zeolite catalysts J Liang, G Shan, Y Sun Renewable and Sustainable Energy Reviews 139, 110707, 2021 | 268 | 2021 |
| Graphene based functional devices: A short review R Wang, XG Ren, Z Yan, LJ Jiang, EI Wei, GC Shan Frontiers of Physics 14 (1), 13603, 2019 | 178 | 2019 |
| Conductive WS2-NS/CNTs hybrids based 3D ultra-thin mesh electromagnetic wave absorbers with excellent absorption performance D Zhang, H Wang, J Cheng, C Han, X Yang, J Xu, G Shan, G Zheng, ... Applied Surface Science 528, 147052, 2020 | 169 | 2020 |
| A new strategy for the fabrication of a flexible and highly sensitive capacitive pressure sensor R Qin, M Hu, X Li, T Liang, H Tan, J Liu, G Shan Microsystems & nanoengineering 7 (1), 100, 2021 | 148 | 2021 |
| Two-dimensional transition metal carbides and/or nitrides (MXenes) and their applications in sensors R Qin, G Shan, M Hu, W Huang Materials Today Physics 21, 100527, 2021 | 144 | 2021 |
| Azo-linked covalent triazine-based framework as organic cathodes for ultrastable capacitor-type lithium-ion batteries C Wu, M Hu, X Yan, G Shan, J Liu, J Yang Energy Storage Materials 36, 347-354, 2021 | 130 | 2021 |
| New family of quantum spin Hall insulators in two-dimensional transition-metal halide with large nontrivial band gaps L Zhou, L Kou, Y Sun, C Felser, F Hu, G Shan, SC Smith, B Yan, ... Nano letters 15 (12), 7867-7872, 2015 | 129 | 2015 |
| Highly efficient microwave absorption properties and broadened absorption bandwidth of MoS2-iron oxide hybrids and MoS2-based reduced graphene oxide hybrids with Hetero-structures D Zhang, J Chai, J Cheng, Y Jia, X Yang, H Wang, Z Zhao, C Han, ... Applied Surface Science 462, 872-882, 2018 | 113 | 2018 |
| Graphene and other two-dimensional materials KS Novoselov, DV Andreeva, W Ren, G Shan Frontiers of Physics 14 (1), 13301, 2019 | 98 | 2019 |
| Fabrication of FeF 3 nanocrystals dispersed into a porous carbon matrix as a high performance cathode material for lithium ion batteries R Ma, M Wang, P Tao, Y Wang, C Cao, G Shan, S Yang, L Xi, JCY Chung, ... Journal of Materials Chemistry A 1 (47), 15060-15067, 2013 | 96 | 2013 |
| New Mn2‐based Heusler Compounds G Kreiner, A Kalache, S Hausdorf, V Alijani, JF Qian, G Shan, U Burkhardt, ... Zeitschrift für anorganische und allgemeine Chemie 640 (5), 738-752, 2014 | 88 | 2014 |
| D-band micromachined silicon rectangular waveguide filter XH Zhao, JF Bao, GC Shan, YJ Du, YB Zheng, Y Wen, CH Shek IEEE Microwave and Wireless Components Letters 22 (5), 230-232, 2012 | 85 | 2012 |
| Preparation of high-performance MXene/PVA-based flexible pressure sensors with adjustable sensitivity and sensing range R Qin, X Li, M Hu, G Shan, S Ramakrishna, M Yin Sensors and Actuators A: Physical 338, 113458, 2022 | 84 | 2022 |
| A highly sensitive piezoresistive sensor based on MXenes and polyvinyl butyral with a wide detection limit and low power consumption R Qin, M Hu, X Li, L Yan, C Wu, J Liu, H Gao, G Shan, W Huang Nanoscale 12 (34), 17715-17724, 2020 | 83 | 2020 |
| Two-dimensional materials: Emerging toolkit for construction of ultrathin high-efficiency microwave shield and absorber M Hu, N Zhang, G Shan, J Gao, J Liu, RKY Li Frontiers of Physics 13 (4), 138113, 2018 | 72 | 2018 |
| Machine learning prediction of magnetic properties of Fe-based metallic glasses considering glass forming ability X Li, G Shan, CH Shek Journal of Materials Science & Technology 103, 113-120, 2022 | 69 | 2022 |
Mingjun HuCity University of Hong KongVerified email at mail.ustc.edu.cn
