Yanqi Dong

Orcid: 0009-0005-2900-5467

According to our database1, Yanqi Dong authored at least 16 papers between 2020 and 2025.

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

Timeline

2020
2021
2022
2023
2024
2025
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Legend:

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In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
Multiscale feature fusion and enhancement in a transformer for the fine-grained visual classification of tree species.
Ecol. Informatics, 2025

2024
Identification of Rare Wildlife in the Field Environment Based on the Improved YOLOv5 Model.
Remote. Sens., May, 2024

Wildlife Real-Time Detection in Complex Forest Scenes Based on YOLOv5s Deep Learning Network.
Remote. Sens., April, 2024

Vulnerabilities Analysis and Secure Controlling for Unmanned Aerial System Based on Reactive Synthesis.
CoRR, 2024

Synthesizing Controller for Unsynthesizable Specification Based on Criticality Levels.
Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

2023
Forest-PointNet: A Deep Learning Model for Vertical Structure Segmentation in Complex Forest Scenes.
Remote. Sens., October, 2023

Combining the Back Propagation Neural Network and Particle Swarm Optimization Algorithm for Lithological Mapping in North China.
Remote. Sens., September, 2023

A survey on computational strategies for genome-resolved gut metagenomics.
Briefings Bioinform., May, 2023

2022
Unsupervised Semantic Segmenting TLS Data of Individual Tree Based on Smoothness Constraint Using Open-Source Datasets.
IEEE Trans. Geosci. Remote. Sens., 2022

2021
mMGE: a database for human metagenomic extrachromosomal mobile genetic elements.
Nucleic Acids Res., 2021

2020
AdQSM: A New Method for Estimating Above-Ground Biomass from TLS Point Clouds.
Remote. Sens., 2020

A New Quantitative Approach to Tree Attributes Estimation Based on LiDAR Point Clouds.
Remote. Sens., 2020

New Method for Forest Resource Data Collection Based on Smartphone Fusion with Multiple Sensors.
Mob. Inf. Syst., 2020

A Deep Learning Model for Quick and Accurate Rock Recognition with Smartphones.
Mob. Inf. Syst., 2020

Measurement of volume and accuracy analysis of standing trees using Forest Survey Intelligent Dendrometer.
Comput. Electron. Agric., 2020

Recognizing Multiple Types of Rocks Quickly and Accurately Based on Lightweight CNNs Model.
IEEE Access, 2020


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