Cong Jiang
University of Science and Technology of China(CN)Jinan Institute of Quantum Technology(CN)
Publications by Year
Research Areas
Advanced Battery Technologies Research, Advancements in Battery Materials, Electric Vehicles and Infrastructure, Advanced Battery Materials and Technologies, Advanced Neural Network Applications
Most-Cited Works
- → A state-of-charge estimation method of the power lithium-ion battery in complex conditions based on adaptive square root extended Kalman filter(2020)261 cited
- → A novel adaptive dual extended Kalman filtering algorithm for the Li‐ion battery state of charge and state of health co‐estimation(2021)85 cited
- → A novel practical state of charge estimation method: an adaptive improved ampere‐hour method based on composite correction factor(2020)84 cited
- → An improved coulomb counting method based on dual open‐circuit voltage and real‐time evaluation of battery dischargeable capacity considering temperature and battery aging(2021)52 cited
- → A survey on generative adversarial network-based text-to-image synthesis(2021)49 cited
- → End-to-end deep learning powered battery state of health estimation considering multi-neighboring incomplete charging data(2024)45 cited
- → A Novel Adaptive Extended Kalman Filtering and Electrochemical-Circuit Combined Modeling Method for the Online Ternary Battery state-of-charge Estimation(2020)22 cited
- → DeepLog: Identify Tight Gas Reservoir Using Multi-Log Signals by a Fully Convolutional Network(2019)20 cited
- → The prediction of pCR and chemosensitivity for breast cancer patients using DLG3, RADL and Pathomics signatures based on machine learning and deep learning(2024)15 cited
- → Fractional-order equivalent circuit model for commercial sodium-ion batteries in a wide temperature range considering aging(2024)14 cited