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Nano Letters|October 8, 2025
Unveiling the Spatially Dependent Cooperative Effect in Iridium Sites for Enhanced Acidic Water OxidationXiaoxia Chen, Hanwen Hu, Meihuan Liu, et al.
The Science of the Total Environment|February 22, 2024
Molecular insight into the binding properties of marine algogenic dissolved organic matter for polybrominated diphenyl ethers and their combined effect on marine zooplanktonYingying Yang, Xuexi Tang, Hanwen Hu, et al.
Optics Letters|October 16, 2018
On the Hamiltonian form of cross-mode modulation in nonlinear optical waveguidesHaofan Yang, Weijin Chen, Hanwen Hu, et al.
Journal of Hazardous Materials|August 9, 2023
Tributyl phosphate can inhibit the feeding behavior of rotifers by altering the axoneme structure, neuronal coordination and energy supply required for motile ciliaXin Zhang, Xuexi Tang, Yingying Yang, et al.
Advanced Materials (Deerfield Beach, Fla.)|August 18, 2022
Atomic-Scale Observation of Grain Boundary Dominated Unsynchronized Phase Transition in Polycrystalline Cu<sub>2</sub> SeHua-Lei Yuan, Kaiwen Wang, Hanwen Hu, et al.
Cancer Drug Resistance (Alhambra, Calif.)|August 22, 2025
Antibody-drug conjugates in breast cancer: current resistance mechanisms and future combination strategiesPing Xing, Chenghui Yang, Hanwen Hu, et al.
Water Research|March 11, 2025
Molecular-level insights into dissolved organic matter during Ulva prolifera degradation and its regulation on the environmental behaviour of the organic pollutant tributyl phosphateHanwen Hu, Chengmin Wang, Xuexi Tang, et al.
Nanoscale|October 25, 2024
Decoupled electron-phonon transport in Ag<sub>2</sub>Se thermoelectric materials through constructing TiO<sub>2</sub>/MoS<sub>2</sub> co-decorated cell-membrane-mimic grain boundariesHanwen Hu, Yiyan Liao, Shanshan Tan, et al.
Scientific Reports|May 14, 2026
Temporal trends of clinicopathological features, therapeutic modalities, and survival outcomes in pseudo-age-related colorectal cancerRenshen Xiang, Hanwen Hu, Bo Li, et al.
Arthroplasty (London, England)|October 13, 2022
A preliminary study on the application of deep learning methods based on convolutional network to the pathological diagnosis of PJIYe Tao, Hanwen Hu, Jie Li, et al.
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