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:

Fast EIS acquisition method based on SSA-DNN prediction model
Chun Chang, Yaliang Pan, Shaojin Wang, et al.
Energy (2023) Vol. 288, pp. 129768-129768
Closed Access | Times Cited: 17

Showing 17 citing articles:

A review of data-driven whole-life state of health prediction for lithium-ion batteries: Data preprocessing, aging characteristics, algorithms, and future challenges
Yanxin Xie, Shunli Wang, Gexiang Zhang, et al.
Journal of Energy Chemistry (2024) Vol. 97, pp. 630-649
Closed Access | Times Cited: 25
Smart and emerging point of care electrochemical sensors based on nanomaterials for SARS-CoV-2 virus detection: Towards designing a future rapid diagnostic tool
Pattan S. Ganesh, Saheed E. Elugoke, Seok‐Han Lee, et al.
Chemosphere (2024) Vol. 352, pp. 141269-141269
Closed Access | Times Cited: 7
A comprehensive review of state-of-charge and state-of-health estimation for lithium-ion battery energy storage systems
Junjie Tao, Shunli Wang, Wen Cao, et al.
Ionics (2024) Vol. 30, Iss. 10, pp. 5903-5927
Closed Access | Times Cited: 5
Prediction of lithium-ion battery internal temperature using the imaginary part of electrochemical impedance spectroscopy
Xiaolong Leng, Yumei Li, Gang Xu, et al.
International Journal of Heat and Mass Transfer (2025) Vol. 240, pp. 126664-126664
Closed Access
How do we improve the reproducibility and accuracy of EIS and Tafel testing in corrosion science?
Zexi Shao, M.Z. Ma, Xuhui Liu, et al.
Surface Science and Technology (2025) Vol. 3, Iss. 1
Open Access
Physics-informed Neural Network Supported Wiener Process for Degradation Modeling and Reliability Prediction
Zewen He, Shaoping Wang, Jian Shi, et al.
Reliability Engineering & System Safety (2025), pp. 110906-110906
Closed Access
Dual-Modal Cross-Attention Integrated Model for Airport Terminal Cooling Load Prediction Using Variational Mode Decomposition
Shenglei Wu, Yong Wang, H. Zhang, et al.
Journal of Building Engineering (2025), pp. 112344-112344
Closed Access
Real-time prediction of metacentric height of ro-ro passenger ships in Qiongzhou strait based on improved RBF neural network
Lijun Wang, Shenghao Liao, Sisi Wang, et al.
Ocean Engineering (2024) Vol. 312, pp. 119067-119067
Open Access | Times Cited: 2
Bayesian assessment of commonly used equivalent circuit models for corrosion analysis in electrochemical impedance spectroscopy
Runze Zhang, Debashish Sur, Kangming Li, et al.
npj Materials Degradation (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 2
Modeling and health feature extraction method for lithium-ion batteries state of health estimation by distribution of relaxation times
Zhipeng Su, Jidong Lai, Jianhui Su, et al.
Journal of Energy Storage (2024) Vol. 90, pp. 111770-111770
Closed Access | Times Cited: 1
Fast acquisition method of battery electrochemical impedance spectra based on impedance fragments
Chun Chang, Yaliang Pan, Jiuhe Dai, et al.
Journal of Energy Storage (2024) Vol. 103, pp. 114269-114269
Closed Access | Times Cited: 1
New method for graphing impedance values as an analytical tool suitable for electrochemical impedance spectroscopy
Zyun Siroma, Kentaro Kuratani
Electrochimica Acta (2024) Vol. 509, pp. 145305-145305
Closed Access | Times Cited: 1
Data-driven models for the steady thermal performance prediction of energy piles optimized by metaheuristic algorithms
Shuaijun Hu, Gangqiang Kong, Changsen Zhang, et al.
Energy (2024), pp. 134000-134000
Closed Access | Times Cited: 1
State-of-health estimation of lithium-ion batteries using a kernel support vector machine tuned by a new nonlinear gray wolf algorithm
Shiyu Liu, Lide Fang, Xiaoyu Zhao, et al.
Journal of Energy Storage (2024) Vol. 102, pp. 114052-114052
Closed Access
State of Health (Soh) Assessment for Libs Based on Characteristic Electrochemical Impedance
Ming Dong, xiaofeng li, Yang Zhang, et al.
(2024)
Closed Access
Nonlinear Real-Time Prediction of Metacentric Height of Ro-Ro Passenger Ships in Qiongzhou Strait Based on Improved Rbf Neural Network
Shenghao Liao, Lijun Wang, Sisi Wang, et al.
(2024)
Closed Access
Serialization of Electrochemical Impedance Spectra to Forecast Low-Frequency Impedances via Deep Learning Neural Networks
Chuanyu Cui, Long Xu, Ai Gu, et al.
Journal of The Electrochemical Society (2024) Vol. 171, Iss. 8, pp. 086506-086506
Open Access
Page 1

Scroll to top