On the public citation graph

A Novel Electric Vehicle Power Battery Voltage Data Enhancement and Fault Diagnosis Based on Lsgan-Rf-Gwo

0 signed · 14 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00607-020-00854-1openalex-extracted
Combined oversampling and undersampling method based on slow-start algorithm for imbalanced network traffic
inferredcites →https://doi.org/10.1007/s10973-016-5767-1openalex-extracted
Characterization on the thermal runaway of commercial 18650 lithium-ion batteries used in electric vehicle
inferredcites →https://doi.org/10.1016/j.advengsoft.2013.12.007openalex-extracted
Grey Wolf Optimizer
inferredcites →https://doi.org/10.1016/j.apenergy.2019.113381openalex-extracted
Fault prognosis of battery system based on accurate voltage abnormity prognosis using long short-term memory neural networks
inferredcites →https://doi.org/10.1016/j.isci.2020.101010openalex-extracted
Toward a Safer Battery Management System: A Critical Review on Diagnosis and Prognosis of Battery Short Circuit
inferredcites →https://doi.org/10.1016/j.jpowsour.2012.10.060openalex-extracted
A review on the key issues for lithium-ion battery management in electric vehicles
inferredcites →https://doi.org/10.1016/j.measurement.2019.06.052openalex-extracted
Voltage fault detection for lithium-ion battery pack using local outlier factor
inferredcites →https://doi.org/10.1016/j.patcog.2021.108222openalex-extracted
The residual generator: An improved divergence minimization framework for GAN
inferredcites →https://doi.org/10.1038/nature14541openalex-extracted
Probabilistic machine learning and artificial intelligence
inferredcites →https://doi.org/10.1109/access.2018.2824838openalex-extracted
An Overview on Thermal Safety Issues of Lithium-ion Batteries for Electric Vehicle Application
inferredcites →https://doi.org/10.1109/iccv.2017.304openalex-extracted
Least Squares Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/tie.2014.2336599openalex-extracted
Adaptive Nonlinear Model-Based Fault Diagnosis of Li-Ion Batteries
inferredcites →https://doi.org/10.1145/3409382openalex-extracted
Causality-based Feature Selection
inferredcites →https://doi.org/10.3390/en16010132openalex-extracted
Joint SOH-SOC Estimation Model for Lithium-Ion Batteries Based on GWO-BP Neural Network
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.