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:

Aging state prediction for supercapacitors based on heuristic kalman filter optimization extreme learning machine
Dezhi Li, Shuo Li, Shubo Zhang, et al.
Energy (2022) Vol. 250, pp. 123773-123773
Closed Access | Times Cited: 96

Showing 1-25 of 96 citing articles:

A combined state-of-charge estimation method for lithium-ion battery using an improved BGRU network and UKF
Zhenhua Cui, Le Kang, Liwei Li, et al.
Energy (2022) Vol. 259, pp. 124933-124933
Closed Access | Times Cited: 143

Electrochemical Impedance Spectroscopy: A New Chapter in the Fast and Accurate Estimation of the State of Health for Lithium-Ion Batteries
Ming Zhang, Yanshuo Liu, Dezhi Li, et al.
Energies (2023) Vol. 16, Iss. 4, pp. 1599-1599
Open Access | Times Cited: 142

Online estimation of SOH for lithium-ion battery based on SSA-Elman neural network
Yu Guo, Dongfang Yang, Yang Zhang, et al.
Protection and Control of Modern Power Systems (2022) Vol. 7, Iss. 1
Open Access | Times Cited: 136

Electrochemical Impedance Spectroscopy Based on the State of Health Estimation for Lithium-Ion Batteries
Dezhi Li, Dongfang Yang, Liwei Li, et al.
Energies (2022) Vol. 15, Iss. 18, pp. 6665-6665
Open Access | Times Cited: 125

A hybrid neural network model with improved input for state of charge estimation of lithium-ion battery at low temperatures
Zhenhua Cui, Le Kang, Liwei Li, et al.
Renewable Energy (2022) Vol. 198, pp. 1328-1340
Closed Access | Times Cited: 124

Data-Driven ICA-Bi-LSTM-Combined Lithium Battery SOH Estimation
Hanlei Sun, Jianrui Sun, Kun Zhao, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 91

Temperature prediction of lithium‐ion batteries based on electrochemical impedance spectrum: A review
Dezhi Li, Licheng Wang, Chongxiong Duan, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 8, pp. 10372-10388
Closed Access | Times Cited: 87

Review on recent advancements in chemically synthesized manganese cobalt oxide (MnCo2O4) and its composites for energy storage application
R.S. Redekar, A.T. Avatare, J.L. Chouhan, et al.
Chemical Engineering Journal (2022) Vol. 450, pp. 137425-137425
Closed Access | Times Cited: 84

An in-depth study of the electrical characterization of supercapacitors for recent trends in energy storage system
Sambit Satpathy, Neeraj Kumar Misra, Dhirendra kumar Shukla, et al.
Journal of Energy Storage (2022) Vol. 57, pp. 106198-106198
Closed Access | Times Cited: 81

Hybrid Methods Using Neural Network and Kalman Filter for the State of Charge Estimation of Lithium-Ion Battery
Zhenhua Cui, Jiyong Dai, Jianrui Sun, et al.
Mathematical Problems in Engineering (2022) Vol. 2022, pp. 1-11
Open Access | Times Cited: 74

Triboelectric nanogenerators: the beginning of blue dream
Wanli Wang, Dongfang Yang, Xiaoran Yan, et al.
Frontiers of Chemical Science and Engineering (2023) Vol. 17, Iss. 6, pp. 635-678
Closed Access | Times Cited: 61

Aging Mechanism and Models of Supercapacitors: A Review
Ning Ma, Dongfang Yang, Saleem Riaz, et al.
Technologies (2023) Vol. 11, Iss. 2, pp. 38-38
Open Access | Times Cited: 60

Recent advances in artificial intelligence boosting materials design for electrochemical energy storage
X.-B. Liu, Kexin Fan, Xinmeng Huang, et al.
Chemical Engineering Journal (2024) Vol. 490, pp. 151625-151625
Open Access | Times Cited: 18

A state‐of‐health estimation method considering capacity recovery of lithium batteries
Yu Guo, Peng Yu, Chao Zhu, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 15, pp. 23730-23745
Closed Access | Times Cited: 66

Strong robustness and high accuracy in predicting remaining useful life of supercapacitors
Chunli Liu, Dezhi Li, Licheng Wang, et al.
APL Materials (2022) Vol. 10, Iss. 6
Open Access | Times Cited: 63

Design of poly(3,4-ethylenedioxythiophene): polystyrene sulfonate-polyacrylamide dual network hydrogel for long-term stable, highly efficient solar steam generation
Qi Zhao, Zhixin Wu, Xinye Xu, et al.
Separation and Purification Technology (2022) Vol. 300, pp. 121889-121889
Closed Access | Times Cited: 63

A method for estimating the aging state of lithium‐ion batteries based on a multi‐linear integrated model
Hanlei Sun, Dongfang Yang, Licheng Wang, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 15, pp. 24091-24104
Closed Access | Times Cited: 60

Machine learning techniques for prediction of capacitance and remaining useful life of supercapacitors: A comprehensive review
V.A. Sawant, Rashmi Deshmukh, Chetan J. Awati
Journal of Energy Chemistry (2022) Vol. 77, pp. 438-451
Closed Access | Times Cited: 52

Comparative analysis on parametric estimation of a PEM fuel cell using metaheuristics algorithms
Tabbi Wilberforce, Hegazy Rezk, A.G. Olabi, et al.
Energy (2022) Vol. 262, pp. 125530-125530
Closed Access | Times Cited: 50

Comparison of machine learning methods for predicting the methane production from anaerobic digestion of lignocellulosic biomass
Zheng‐Xin Wang, Xinggan Peng, Ao Xia, et al.
Energy (2022) Vol. 263, pp. 125883-125883
Closed Access | Times Cited: 44

Li-ion battery degradation modes diagnosis via Convolutional Neural Networks
Nahuel Costa, Luciano Sánchez, David Anseán, et al.
Journal of Energy Storage (2022) Vol. 55, pp. 105558-105558
Open Access | Times Cited: 43

Data-driven machine learning approach for predicting the capacitance of graphene-based supercapacitor electrodes
Ahmed G. Saad, Ahmed Emad-Eldeen, Wael Z. Tawfik, et al.
Journal of Energy Storage (2022) Vol. 55, pp. 105411-105411
Closed Access | Times Cited: 42

State of charge estimation of supercapacitors based on multi‐innovation unscented Kalman filter under a wide temperature range
Yonghong Xu, Hongguang Zhang, Fubin Yang, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 12, pp. 16716-16735
Open Access | Times Cited: 37

Enhanced electrochemical performance of manganese-based metal organic frameworks-derived spinel LiMn2O4 cathode materials by improving the Mn3+ content and oxygen vacancies
Ziliang Chen, Yijing Gu, Yong-Lin Huo, et al.
Journal of Alloys and Compounds (2022) Vol. 917, pp. 165485-165485
Closed Access | Times Cited: 27

High-performance supercapacitor enabled by vacancy engineering of Fe2O3@reduced graphene oxide matrix
Guoxiang Xin, Wei Sun, Fei Liu, et al.
Journal of Energy Storage (2024) Vol. 91, pp. 112174-112174
Closed Access | Times Cited: 6

Page 1 - Next Page

Scroll to top