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Yong Li
Observed name:
Li, Yong
Institution:
Helmholtz-Zentrum Hereon
Observed institutions:
Central South University of Forestry and Technology,
National University of Defense Technology,
Northeast Electric Power University,
Tencent (China),
Helmholtz-Zentrum Hereon,
Zhejiang Industry & Trade Vocational College,
Hamburg University of Technology
show all 7
ORCID:
0000-0003-1472-9567
Observed ORCID:
0000-0003-1472-9567
OpenAlex ID:
A5100750240
Scaling behavior of stiffness and strength of hierarchical network nanomaterials
2021
·
Shan Shi
, Yong Li
, et al.
·
Science
·
182
The Improved Training Algorithm of Back Propagation Neural Network with Self-adaptive Learning Rate
2009
·
Yong Li
, Yang Fu
, et al.
·
International Conference on Computational Intelligence and Natural Computing (CINC)
·
77
Topology evolution during coarsening of nanoscale metal network structures
2019
·
Yong Li
, Bao-Nam Dinh Ngô
, et al.
·
Physical Review Materials
·
70
PDF
On factors defining the mechanical behavior of nanoporous gold
2021
·
Birthe Zandersons
, Lukas Lührs
, et al.
·
Acta Materialia
·
54
PDF
Image feature learning for cold start problem in display advertising
2015
·
Kaixiang Mo
, Bo Liu
, et al.
·
Rare & Special e-Zone (The Hong Kong University of Science and Technology)
·
35
Evolution of length scales and of chemical heterogeneity during primary and secondary dealloying
2021
·
Yong Li
, Bao-Nam Ngo-Dinh
, et al.
·
Acta Materialia
·
26
PDF
Training Deep Neural Networks to Reconstruct Nanoporous Structures From FIB Tomography Images Using Synthetic Training Data
2022
·
Trushal Sardhara
, Roland C. Aydin
, et al.
·
Frontiers in Materials
·
24
Self-Detachment and Subsurface Densification of Dealloyed Nanoporous Thin Films
2022
·
Gideon Henkelmann
, Diana Waldow
, et al.
·
Nano Letters
·
18
Enhancing 3D Reconstruction Accuracy of FIB Tomography Data Using Multi-voltage Images and Multimodal Machine Learning
2024
·
Trushal Sardhara
, Alexander Shkurmanov
, et al.
·
Nanomanufacturing and Metrology
·
16
PDF
Datasets for the microstructure of nanoscale metal network structures and for its evolution during coarsening
2019
·
Yong Li
, Bao-Nam Dinh Ngô
, et al.
·
Data in Brief
·
15
PDF
Role of slice thickness quantification in the 3D reconstruction of FIB tomography data of nanoporous materials
2023
·
Trushal Sardhara
, Alexander Shkurmanov
, et al.
·
Ultramicroscopy
·
9
Data-driven approach with artificial neural network for Global Innovation Index re-evaluation
2020
·
Ruijing Cui
, Jianbin Sun
, et al.
·
International Conference on Big Data and Information Analytics (BigDIA)
·
6
Size-dependent phase change in energy storage materials: Comparing the impact of solid-state wetting and of coherency stress
2025
·
Yong Li
, Jörg Weissmüller
·
The Journal of Chemical Physics
·
4
PDF
Datasets for structural and mechanical properties of nanoporous networks from FIB reconstruction
2025
·
Yong Li
, Kaixiong Hu
, et al.
·
Data in Brief
·
2
Nanotechnology in the agricultural sector
2024
·
Ziqian Li
, Qianlong Tan
, et al.
·
Elsevier eBooks
·
2
Anticorrosion Conversion Coating Content Lanthanum and Phosphate on Foam Mg Alloy
2011
·
Li Yuan Niu
, Zi Mu Shi
, et al.
·
Advanced materials research
·
2
ResghostNet: Boosting GhostNet with Residual Connections and Adaptive-SE Blocks
2025
·
Yuang Chen
, Yong Li
, et al.
·
Computers, materials & continua/Computers, materials & continua (Print)
·
1
PDF
The Cahn–Hilliard residuum and its implications for critical-point wetting at solid solution surfaces
2026
·
Marine Bossert
, Yong Li
, et al.
·
The Journal of Chemical Physics
Datasets for structural and mechanical properties of nanoporous networks from FIB reconstruction
2025
·
Li, Yong
, Hu, Kaixiong
, et al.
·
Data in Brief
Silver-Rich Clusters Reveal the Initial Size of Nanoscale Network during Dealloying Via Kinetic Monte Carlo Simulation
2023
·
Yong Li
, Jürgen Markmann
, et al.
·
ECS Meeting Abstracts
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Works count:
20
Citation count:
543
H-index:
10
I10-index:
10
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