Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Showing 16 citing articles:

State of health estimation for lithium-ion batteries using impedance-based simplified timescale information
Guangjun Qian, Yuejiu Zheng, Xinyu Li, et al.
Applied Energy (2025) Vol. 382, pp. 125272-125272
Closed Access | Times Cited: 1
A review of new technologies for lithium-ion battery treatment
Yao Li, Pengcheng Zhao, Boxiong Shen
The Science of The Total Environment (2024) Vol. 951, pp. 175459-175459
Closed Access | Times Cited: 7
Adaptive Multi-domain Capacity Estimation for Battery Energy Storage System based on Multi-scale Random Sequence Feature Fusion
Zuolu Wang, Xiaoyu Zhao, Te Han, et al.
Energy (2025), pp. 134997-134997
Closed Access
A semi-supervised learning strategy for lithium-ion battery capacity estimation with limited impedance data
Yan Li, Zi He, Min Ye, et al.
Energy (2025), pp. 135129-135129
Closed Access
Battery state-of-health estimation based on random charge curve fitting and broad learning system with attention mechanism
Houde Dai, Yiyang Huang, L. Zhu, et al.
Journal of Power Sources (2025) Vol. 636, pp. 236544-236544
Closed Access
CTBANet: A new method for state of health estimation of lithium-ion batteries
Qinglin Zhu, Xiangfeng Zeng, Zhongren Wang, et al.
Journal of Energy Storage (2025) Vol. 117, pp. 116134-116134
Closed Access
A label-free battery state of health estimation method based on adversarial multi-domain adaptation network and relaxation voltage
Xiaoyu Zhao, Zuolu Wang, Haiyan Miao, et al.
Energy (2024) Vol. 308, pp. 132881-132881
Open Access | Times Cited: 2
Multi-scenario failure diagnosis for lithium-ion battery based on coupling PSO-SA-DBSCAN algorithm
Shichun Yang, Xiao Wang, Sida Zhou, et al.
Journal of Energy Storage (2024) Vol. 99, pp. 113393-113393
Closed Access | Times Cited: 2
State-of-health estimation for lithium-ion batteries based on electrochemical impedance spectroscopy measurements combined with unscented Kalman filter
Wenlin Zhang, Ryan Ahmed, Saeid Habibi
Journal of Power Sources (2024) Vol. 625, pp. 235450-235450
Closed Access | Times Cited: 2
Modeling and validation for performance analysis and impedance spectroscopy characterization of lithium-ion batteries
Jin Zhao, Jaber A. Abu Qahouq
Next Energy (2024) Vol. 5, pp. 100153-100153
Closed Access | Times Cited: 1
Rapid acquisition of battery impedance across multiple scenarios using DRT analysis
Kun Yang, Pengcheng Niu, Zhuoyu Feng, et al.
Journal of Energy Storage (2024) Vol. 102, pp. 114015-114015
Closed Access | Times Cited: 1
Onboard Health Estimation using Distribution of Relaxation Times for Lithium-ion Batteries
Muhammad Aadil Khan, Sai Thatipamula, Simona Onori
IFAC-PapersOnLine (2024) Vol. 58, Iss. 28, pp. 917-922
Open Access | Times Cited: 1
A Mixed-State Particle Filter for Remaining Useful Life Prediction of Lithium-Ion Batteries
Mengqi Huang, Zhengyu Du, Ruibo LU, et al.
(2024)
Closed Access
Battery State-of-Health Estimation Based on Random Charge Curve Fitting and Broad Learning System with Attention Mechanism
Houde Dai, Yiyang Huang, L. Zhu, et al.
(2024)
Closed Access
A Two-Stage Intelligent Model for State of Health Estimation of EV Lithium-Ion Battery at Variable Temperatures
Xiaoyu Zhao, Zuolu Wang, Haiyan Miao, et al.
Mechanisms and machine science (2024), pp. 473-485
Closed Access
A Meta-Learning Method for Few-Shot Multi-Domain State of Health Estimation of Lithium-ion Batteries
Xiaoyu Zhao, Zuolu Wang, Te Han, et al.
IEEE Transactions on Transportation Electrification (2024) Vol. 11, Iss. 1, pp. 4830-4840
Closed Access
Page 1

Scroll to top