( en | de | ru )

 

Disambiguation of "Li, Xiaojun"

Author of the publication

copydeleteadd this publication to your clipboard
A Survey of Research Progress and Hot Front of Natural Gas Load Forecasting From Technical Perspective.

, , , , and . IEEE Access, (2020)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Xiaojun Li

Xiaojun Ye

Xiaojun Shao

Xiaojun Yu

Xiaojun Luo

 

Other publications of authors with the same name

A Spectral-Spatial Feature Rotation-Based Ensemble Method for Imbalanced Hyperspectral Image Classification., , , , and . IEEE Trans. Geosci. Remote. Sens., (2023)TERQA: Question answering over knowledge graph considering precise dependencies of temporal information on vectors., , , , and . Displays, (2022)Multiple Spectral-Spatial Representation Based on Tensor Decomposition for HSI Anomaly Detection., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Arts Teachers' Media and Digital Literacy in Kindergarten: A Case Study on Finnish and Chinese Children using a Shared Blog in Early Childhood Education., and . Int. J. Digit. Lit. Digit. Competence, 6 (1): 1-17 (2015)Estimating High-Resolution Soil Moisture Over Mountainous Regions Using Remotely-Sensed Multispectral and Topographic Data., , , , , , , , , and 4 other author(s). IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., (2022)Voltage-Based State of Charge Correction at Charge-End., , , , and . CoRR, (2022)Finite-Time Stability and Synchronization of the Coupled Switched Neural Networks with Nodes of Different Dimensions., , and . Neural Processing Letters, 49 (1): 285-303 (2019)Evaluation of Two SMAP Soil Moisture Retrievals Using Modeled- and Ground-Based Measurements., , and . Remote Sensing, 11 (24): 2891 (2019)A review of flywheel energy storage systems: state of the art and opportunities., and . CoRR, (2021)Self-adaptive physics-driven deep learning for seismic wave modeling in complex topography., , , , , and . Eng. Appl. Artif. Intell., 123 (Part B): 106425 (2023)