Zhihua Lin

Orcid: 0000-0001-8681-6729

According to our database1, Zhihua Lin authored at least 14 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Progressive Moire Removal and Texture Complementation for Image Demoireing.
IEEE Trans. Circuits Syst. Video Technol., August, 2023

Two-Way Reliable Forwarding Strategy of RIS Symbiotic Communications for Vehicular Named Data Networks.
IEEE Internet Things J., 2023

2022
Predicting disease progress with imprecise lab test results.
Artif. Intell. Medicine, 2022

2021
Two-User Relay Protocol Based on Energy Harvesting and Cognitive Radio Techniques.
Wirel. Pers. Commun., 2021

Time Switching Based Wireless Powered Relay Transmission with Uplink NOMA.
Sensors, 2021

Predicting Disease Progress with Imprecise Lab Test Results.
CoRR, 2021

2020
Cross-layer energy optimization in cooperative MISO wireless sensor networks.
Comput. Commun., 2020

In silico design novel (5-imidazol-2-yl-4-phenylpyrimidin-2-yl)[2-(2-pyridylamino)ethyl]amine derivatives as inhibitors for glycogen synthase kinase 3 based on 3D-QSAR, molecular docking and molecular dynamics simulation.
Comput. Biol. Chem., 2020

2019
Reconfigurable magnetic microrobot swarm: Multimode transformation, locomotion, and manipulation.
Sci. Robotics, 2019

A selectivity study of benzenesulfonamide derivatives on human carbonic anhydrase II/IX by 3D-QSAR, Molecular Docking and Molecular Dynamics Simulation.
Comput. Biol. Chem., 2019

Liquid Metal Gallium Micromachines Speed Up in Confining Channels.
Adv. Intell. Syst., 2019

A Tunable Wireless Multicarrier Communication Employing Multiple Vector Modulation With 4QAM-OFDM on a Single Optical Carrier.
IEEE Access, 2019

2016
Reliable Forwarding Strategy in Vehicular Networks Using NDN.
Proceedings of the IEEE 84th Vehicular Technology Conference, 2016

2004
Toward the Quantitative Prediction of T-Cell Epitopes: QSAR Studies on Peptides Having Affinity with the Class I MHC Molecular HLA-A<sub>*</sub>0201.
J. Comput. Biol., 2004


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