Guangshuai Wang

Orcid: 0000-0003-1022-3227

According to our database1, Guangshuai Wang authored at least 12 papers between 2018 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Identifying Crop Growth Stages from Solar-Induced Chlorophyll Fluorescence Data in Maize and Winter Wheat from Ground and Satellite Measurements.
Remote. Sens., December, 2023

Towards a computer-assisted comprehensive evaluation of visual motor integration for children with autism spectrum disorder: a pilot study.
Interact. Learn. Environ., October, 2023

TLimmuno2: predicting MHC class II antigen immunogenicity through transfer learning.
Briefings Bioinform., May, 2023

The repertoire of copy number alteration signatures in human cancer.
Briefings Bioinform., March, 2023

Neodb: a comprehensive neoantigen database and discovery platform for cancer immunotherapy.
Database J. Biol. Databases Curation, 2023

2022
A three-dimensional model of student interest during learning using multimodal fusion with natural sensing technology.
Interact. Learn. Environ., 2022

The evaluation of the cognitive and language abilities of autistic children with interactive game technology based on the PEP-3 scale.
Educ. Inf. Technol., 2022

2021
Application of Computer Games in the Visual Perception Assessment of Children with Autism Spectrum Disorder.
Proceedings of the 2021 IEEE International Conference on Engineering, 2021

The Intervention Model for Children with Autism Spectrum Disorder Based on Educational Game.
Proceedings of the 2021 IEEE International Conference on Engineering, 2021

2020
An Intelligent Multimodal Framework for Identifying Children with Autism Spectrum Disorder.
Int. J. Appl. Math. Comput. Sci., 2020

2019
A pilot study on evaluating children with autism spectrum disorder using computer games.
Comput. Hum. Behav., 2019

2018
The existence and exponential stability of periodic solution for coupled systems on networks without strong connectedness.
Neurocomputing, 2018


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