Hou, Yang

Electrocatalysis for CO 2 conversion: from fundamentals to value-added products

Wang, G., Chen, J., Ding, Y., Cai, P., Yi, L., Li, Y., Tu, C., Hou, Y., Wen, Z., & Dai, L. (2021) · Chemical Society Reviews

CO2 Reduction Techniques and CatalystsElectrocatalysts for Energy Conversion

Cited by 1,295

Vertically oriented cobalt selenide/NiFe layered-double-hydroxide nanosheets supported on exfoliated graphene foil: an efficient 3D electrode for overall water splitting

Hou, Y., Lohe, M. R., Zhang, J., Liu, S., Zhuang, X., & Feng, X. (2016) · Energy & Environmental Science

Electrocatalysts for Energy ConversionAdvanced Photocatalysis Techniques

Cited by 824

Integrated Hierarchical Cobalt Sulfide/Nickel Selenide Hybrid Nanosheets as an Efficient Three-dimensional Electrode for Electrochemical and Photoelectrochemical Water Splitting

Hou, Y., Qiu, M., Nam, G., Kim, M. G., Zhang, T., Liu, K., Zhuang, X., Cho, J., Yuan, C., & Feng, X. (2017) · Nano Letters

Electrocatalysts for Energy ConversionAdvanced Photocatalysis Techniques

Cited by 284

A 3D hybrid of layered MoS 2 /nitrogen-doped graphene nanosheet aerogels: an effective catalyst for hydrogen evolution in microbial electrolysis cells

Hou, Y., Zhang, B., Wen, Z., Cui, S., Guo, X., He, Z., & Chen, J. (2014) · J. Mater. Chem. A

Electrocatalysts for Energy ConversionMicrobial Fuel Cells and Bioremediation

Cited by 221

Tuning d-band center of tungsten carbide via Mo doping for efficient hydrogen evolution and Zn–H2O cell over a wide pH range

Wang, L., Li, Z., Wang, K., Dai, Q., Lei, C., Yang, B., Zhang, Q., Lei, L., Leung, M. K. H., & Hou, Y. (2020) · Nano Energy

Electrocatalysts for Energy ConversionCO2 Reduction Techniques and Catalysts

Cited by 196

Kinetically Accelerating Elementary Steps via Bridged Ru‐H State for the Hydrogen‐Evolution in Anion‐Exchange Membrane Electrolyzer

Wang, K., Cao, J., Yang, X., Sang, X., Yao, S., Xiang, R., Yang, B., Li, Z., O'Carroll, T., Zhang, Q., et al. (2023) · Advanced Functional Materials

Electrocatalysts for Energy ConversionFuel Cells and Related Materials

Cited by 98

Evading DeepFake Detectors via Adversarial Statistical Consistency

Hou, Y., Guo, Q., Huang, Y., Xie, X., Ma, L., & Zhao, J. (2023) · 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Digital Media Forensic DetectionAdversarial Robustness in Machine Learning

Cited by 76