| Overall Water Splitting Catalyzed Efficiently by an Ultrathin Nanosheet‐Built, Hollow Ni3S2‐Based Electrocatalyst Y Wu, GD Li, Y Liu, L Yang, X Lian, T Asefa, X Zou Advanced functional materials 26 (27), 4839-4847, 2016 | 464 | 2016 |
| Efficient electrocatalysis of overall water splitting by ultrasmall NixCo3− xS4 coupled Ni3S2 nanosheet arrays Y Wu, Y Liu, GD Li, X Zou, X Lian, D Wang, L Sun, T Asefa, X Zou Nano Energy 35, 161-170, 2017 | 370 | 2017 |
| In situ electrochemical formation of NiSe/NiO x core/shell nano-electrocatalysts for superior oxygen evolution activity R Gao, GD Li, J Hu, Y Wu, X Lian, D Wang, X Zou Catalysis Science & Technology 6 (23), 8268-8275, 2016 | 90 | 2016 |
| Deep-learning-based design of synthetic orthologs of SH3 signaling domains X Lian, N Praljak, SK Subramanian, S Wasinger, R Ranganathan, ... Cell Systems 15 (8), 725-737. e7, 2024 | 13* | 2024 |
| Electrocatalysis: Overall Water Splitting Catalyzed Efficiently by an Ultrathin Nanosheet‐Built, Hollow Ni3S2‐Based Electrocatalyst (Adv. Funct. Mater. 27/2016) Y Wu, GD Li, Y Liu, L Yang, X Lian, T Asefa, X Zou Advanced functional materials 26 (27), 4999-4999, 2016 | 9 | 2016 |
| ProtWave-VAE: Integrating autoregressive sampling with latent-based inference for data-driven protein design N Praljak, X Lian, R Ranganathan, AL Ferguson ACS synthetic biology 12 (12), 3544-3561, 2023 | 5 | 2023 |
| Deep-learning generative models enable design of synthetic orthologs of a signaling protein X Lian, N Praljak, AL Ferguson, R Ranganathan Biophysical Journal 122 (3), 311a, 2023 | 1 | 2023 |
| Data-Driven Interpretation and Design of Orthologs and Paralogs of a Signaling Protein X Lian The University of Chicago, 2024 | | 2024 |
| Data-Driven Protein Engineering Using Deep Representational Active Learning X Lian, N Praljak, R Ranganathan, A Ferguson 2021 AIChE Annual Meeting, 2021 | | 2021 |
Xiaoxin ZouState Key Laboratory of Inorganic Synthesis and Preparative Chemistry, Jiin University在 rutgers.edu 的电子邮件经过验证
