Xinhua Liu

About Xinhua Liu

Xinhua Liu, With an exceptional h-index of 82 and a recent h-index of 58 (since 2020), a distinguished researcher at Columbia University in the City of New York, specializes in the field of Mental health, Environmantal health sciences, Medicine.

His recent articles reflect a diverse array of research interests and contributions to the field:

Recent progress of Pt-based oxygen reduction reaction catalysts for proton exchange membrane fuel cells

Online state of health estimation for lithium-ion batteries based on gene expression programming

SOH estimation method for lithium-ion batteries under low temperature conditions with nonlinear correction

Reply from the authors/Pamphlett

State of health and remaining useful life prediction for lithium-ion batteries based on differential thermal voltammetry and a long and short memory neural network

Perspective on cycling stability of lithium-iron manganese phosphate for lithium-ion batteries

Lithium-ion battery state of health estimation with multi-feature collaborative analysis and deep learning method

End-cloud collaboration approach for state-of-charge estimation in lithium batteries using CNN-LSTM and UKF

Xinhua Liu Information

University

Position

Associate professor of clinical biostatistics

Citations(all)

28988

Citations(since 2020)

15127

Cited By

21095

hIndex(all)

82

hIndex(since 2020)

58

i10Index(all)

250

i10Index(since 2020)

205

Email

University Profile Page

Google Scholar

Xinhua Liu Skills & Research Interests

Mental health

Environmantal health sciences

Medicine

Top articles of Xinhua Liu

Recent progress of Pt-based oxygen reduction reaction catalysts for proton exchange membrane fuel cells

2024/2/29

Online state of health estimation for lithium-ion batteries based on gene expression programming

Energy

2024/2/27

SOH estimation method for lithium-ion batteries under low temperature conditions with nonlinear correction

Journal of Energy Storage

2024/1/1

Reply from the authors/Pamphlett

2023/3/14

State of health and remaining useful life prediction for lithium-ion batteries based on differential thermal voltammetry and a long and short memory neural network

Rare Metals

2023/3

Perspective on cycling stability of lithium-iron manganese phosphate for lithium-ion batteries

2023/3

Lithium-ion battery state of health estimation with multi-feature collaborative analysis and deep learning method

Batteries

2023/2/8

End-cloud collaboration approach for state-of-charge estimation in lithium batteries using CNN-LSTM and UKF

Batteries

2023/2/6

Electrolyte perspective on stabilizing LiNi0.8Co0.1Mn0.1O2 cathode for lithium-ion batteries

2023/2

Toward a function realization of multi-scale modeling for lithium-ion battery based on CHAIN framework

2023/2

Towards interactional management for power batteries of electric vehicles

2023

Perspective on low-temperature electrolytes for LiFePO4-based lithium-ion batteries

2023/1

Physics-informed ensemble deep learning framework for improving state of charge estimation of lithium-ion batteries

Journal of Energy Storage

2023/12/15

Wentao Wang
Wentao Wang

H-Index: 6

Xinhua Liu
Xinhua Liu

H-Index: 49

Simplified numerical modeling and analysis of electrolyte behavior in multiple physical fields for lithium-ion batteries

Journal of Energy Storage

2023/11/30

Multi-output ensemble deep learning: A framework for simultaneous prediction of multiple electrode material properties

Chemical Engineering Journal

2023/11/1

Research on Battery Fault Diagnosis Method Based on Entropy

2023/9/24

Lithium-ion battery multi-scale modeling coupled with simplified electrochemical model and kinetic Monte Carlo model

Iscience

2023/9/15

Wentao Wang
Wentao Wang

H-Index: 6

Xinhua Liu
Xinhua Liu

H-Index: 49

A novel method of prediction for capacity and remaining useful life of lithium-ion battery based on multi-time scale Weibull accelerated failure time regression

Journal of Energy Storage

2023/9/15

Electric vehicle lifecycle carbon emission reduction: A review

2023/9

State of charge estimation method by using a simplified electrochemical model in deep learning framework for lithium-ion batteries

Energy

2023/9/1

See List of Professors in Xinhua Liu University(Columbia University in the City of New York)