Yijun Zhang

Orcid: 0000-0002-7573-424X

Affiliations:
  • Fudan University, Department of Atmospheric and Oceanic Sciences, Institute of Atmospheric Sciences, Shanghai, China
  • CMA-FDU Joint Laboratory of Marine Meteorology, Shanghai, China
  • Chinese Academy of Sciences, Cold and Arid Regions Environment and Engineering Research Institute, Lanzhou, China (PhD 1998)


According to our database1, Yijun Zhang authored at least 17 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
A Lightning Classification Method Based on Convolutional Encoding Features.
Remote. Sens., March, 2024

Spatiotemporal Distributions of the Thunderstorm and Lightning Structures over the Qinghai-Tibet Plateau.
Remote. Sens., February, 2024

2023
Significant Location Accuracy Changes Resulting from Lightning Detection Networks Deployed on Inclined Terrains.
Remote. Sens., December, 2023

Effect of Spherical Wavefronts on Very-High-Frequency (VHF) Lightning Interferometer Observations.
IEEE Trans. Geosci. Remote. Sens., 2023

An Improved Method for Analyzing Broadband VHF Interferometer Lightning Observations.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
Radio Interferometer Observations and Analysis of an Energetic In-Cloud Pulse Based on Ensemble Empirical Mode Decomposition.
IEEE Trans. Geosci. Remote. Sens., 2022

Advances in Lightning Monitoring and Location Technology Research in China.
Remote. Sens., 2022

Characteristics of Regions with High-Density Initiation of Flashes in Mesoscale Convective Systems.
Remote. Sens., 2022

Spatiotemporal Correlation between Artificially Triggered and Adjacent Natural Lightning Flashes.
Remote. Sens., 2022

Thunderstorm Activity over the Qinghai-Tibet Plateau Indicated by the Combined Data of the FY-2E Geostationary Satellite and WWLLN.
Remote. Sens., 2022

LightNet+: A dual-source lightning forecasting network with bi-direction spatiotemporal transformation.
Appl. Intell., 2022

2021
Application of Ensemble Empirical Mode Decomposition in Low-Frequency Lightning Electric Field Signal Analysis and Lightning Location.
IEEE Trans. Geosci. Remote. Sens., 2021

Fast and Fine Location of Total Lightning from Low Frequency Signals Based on Deep-Learning Encoding Features.
Remote. Sens., 2021

2020
Characteristics of Two Ground Grid Potentials After a Triggered Lightning Stroke.
IEEE Access, 2020

Parametric Reconstruction Method for the Long Time-Series Return-Stroke Current of Triggered Lightning Based on the Particle Swarm Optimization Algorithm.
IEEE Access, 2020

2019
Attention-Based Dual-Source Spatiotemporal Neural Network for Lightning Forecast.
IEEE Access, 2019

LightNet: A Dual Spatiotemporal Encoder Network Model for Lightning Prediction.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019


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