Yijun Zhang
Orcid: 0000-0002-7573-424XAffiliations:
- 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 18 papers
between 2019 and 2024.
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Bibliography
2024
Separation of Rapidly-Varying and Slowly-Varying Processes and Development of Diffraction Decomposition Order Method in Radiative Transfer.
Remote. Sens., April, 2024
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
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
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
IEEE Access, 2019
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019