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OpenAlex Citation Counts

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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:

Research on online parameter identification and SOC estimation methods of lithium‐ion battery model based on a robustness analysis
Yongchao Wang, Dawei Meng, Yujia Chang, et al.
International Journal of Energy Research (2021) Vol. 45, Iss. 15, pp. 21234-21253
Open Access | Times Cited: 25

Showing 25 citing articles:

State-of-charge estimation hybrid method for lithium-ion batteries using BiGRU and AM co-modified Seq2Seq network and H-infinity filter
Pan Kuang, Fei Zhou, Shuai Xu, et al.
Energy (2024) Vol. 300, pp. 131602-131602
Closed Access | Times Cited: 14
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
Online identification of battery model parameters and joint state of charge and state of health estimation using dual particle filter algorithms
Yonghong Xu, Xia Chen, Hongguang Zhang, et al.
International Journal of Energy Research (2022) Vol. 46, Iss. 14, pp. 19615-19652
Open Access | Times Cited: 65
Deep Learning-Driven Estimation and Multi-Objective Optimization of Lithium-Ion Battery Parameters for Enhanced EV/HEV Performance
Nima Khosravi, Adel Oubelaid
Energy (2025), pp. 135147-135147
Closed Access
Research on life cycle SOC estimation method of lithium-ion battery oriented to decoupling temperature
Yang Wu, Hui Zhao, Yongchao Wang, et al.
Energy Reports (2022) Vol. 8, pp. 4182-4195
Open Access | Times Cited: 20
Estimation of Parameters and State of Charge for Solid-State Batteries Based on Posterior Cramer-Rao Lower Bound Analysis
Shuai Jiang, Rui Xiong, Cheng Chen, et al.
IEEE Transactions on Transportation Electrification (2024) Vol. 11, Iss. 1, pp. 3773-3784
Closed Access | Times Cited: 3
A novel adaptive H‐infinity filtering method for the accurate SOC estimation of lithium‐ion batteries based on optimal forgetting factor selection
Yuyang Liu, Shunli Wang, Yanxin Xie, et al.
International Journal of Circuit Theory and Applications (2022) Vol. 50, Iss. 10, pp. 3372-3386
Open Access | Times Cited: 16
Li-Ion Battery State of Charge Prediction for Electric Vehicles Based on Improved Regularized Extreme Learning Machine
Baozhong Zhang, Guoqiang Ren
World Electric Vehicle Journal (2023) Vol. 14, Iss. 8, pp. 202-202
Open Access | Times Cited: 8
Research on Retired Battery Equalization System Based on Multi-Objective Adaptive Fuzzy Control Algorithm
Ran Li, Pengdong Liu, Kexin Li, et al.
IEEE Access (2023) Vol. 11, pp. 89535-89549
Open Access | Times Cited: 8
Improved lumped electrical characteristic modeling and adaptive forgetting factor recursive least squares-linearized particle swarm optimization full-parameter identification strategy for lithium-ion batteries considering the hysteresis component effect
Yanxin Xie, Shunli Wang, Gexiang Zhang, et al.
Journal of Energy Storage (2023) Vol. 67, pp. 107597-107597
Open Access | Times Cited: 7
Online estimation of lithium battery SOC based on fractional order FOUKF‐FOMIUKF algorithm with multiple time scales
Likun Xing, Hengqi Ren, Wenfei Luo, et al.
Energy Science & Engineering (2024) Vol. 12, Iss. 3, pp. 508-523
Open Access | Times Cited: 2
On‐road estimation of state of charge of lithium‐ion battery by extended and dual extended Kalman filter considering sensor bias
Himadri Sekhar Bhattacharyya, Amalendu Bikash Choudhury, Chandan Kumar Chanda
International Journal of Energy Research (2022) Vol. 46, Iss. 11, pp. 15182-15197
Open Access | Times Cited: 11
Initial value compensation of an adaptive fractional-order unscented Kalman filter for estimating the state of charge of lithium-ion batteries
Yue Miao, Zhe Gao, Shasha Xiao, et al.
Journal of Energy Storage (2023) Vol. 70, pp. 107857-107857
Closed Access | Times Cited: 6
State of Charge Estimation of Lithium-Ion Batteries Based on Vector Forgetting Factor Recursive Least Square and Improved Adaptive Cubature Kalman Filter
Yiyi Guo, Jindong Tian, Xiaoyu Li, et al.
Batteries (2023) Vol. 9, Iss. 10, pp. 499-499
Open Access | Times Cited: 5
High-precision State of Charge Estimation of Lithium-ion Batteries Based on Joint Compression Factor Particle Swarm Optimization-Forgetting Factor Recursive Least Square-Adaptive Extended Kalman Filtering
Junjie Yang, Shunli Wang, Lei Chen, et al.
Journal of The Electrochemical Society (2023) Vol. 170, Iss. 6, pp. 060527-060527
Open Access | Times Cited: 4
Jitter solution in parameter identification based on cross-time scale fusion algorithm of lithium-ion batteries
Xianzheng Su, Yanjun Ge, Xin Qiao
Heliyon (2024) Vol. 10, Iss. 8, pp. e29402-e29402
Open Access | Times Cited: 1
State of energy estimation of lithium-ion battery based on long short-term memory optimization Adaptive Cubature Kalman filter
Enguang Hou, Heyan Song, Zhen Wang, et al.
PLoS ONE (2024) Vol. 19, Iss. 7, pp. e0306165-e0306165
Open Access | Times Cited: 1
A novelty state of charge estimation framework for LiFePO4 batteries considering multi-dimensional features selection
Aina Tian, Yuqin Wang, Haijun Yu, et al.
Journal of Energy Storage (2024) Vol. 101, pp. 113829-113829
Closed Access | Times Cited: 1
Multi-Measurement Kalman-Filtering-Based Neural Network Estimator for SOC of Lithium Batteries
Xubin Qin, Tianyun Hao, Jie Ding
Journal of The Electrochemical Society (2023) Vol. 170, Iss. 12, pp. 120517-120517
Closed Access | Times Cited: 3
Real-Time Lithium Battery Aging Prediction Based on Capacity Estimation and Deep Learning Methods
Joaquín de la Vega, Jordi‐Roger Riba, J. A. Ortega
(2023)
Open Access | Times Cited: 3
Real-Time Lithium Battery Aging Prediction Based on Capacity Estimation and Deep Learning Methods
Joaquín de la Vega, Jordi‐Roger Riba, J. A. Ortega
Batteries (2023) Vol. 10, Iss. 1, pp. 10-10
Open Access | Times Cited: 2
Battery Modeling Considering Hysteresis Effect and Temperature Adaptability
Kai Huang, Kai Sun, Yongfang Guo, et al.
Energy Technology (2022) Vol. 11, Iss. 3
Closed Access | Times Cited: 3
Aging characteristics of lithium-ion batteries
Carlos Fernández, Jin Hui Li, Kailong Liu, et al.
Elsevier eBooks (2023), pp. 43-55
Closed Access | Times Cited: 1
Battery Fault Diagnosis Method Based on Online Least Squares Support Vector Machine
Tongrui Zhang, Ran Li, Yongqin Zhou
Energies (2023) Vol. 16, Iss. 21, pp. 7273-7273
Open Access | Times Cited: 1
Internal Control Model of Enterprise Financial Management Based on Market Economy Environment
Qian Li
Advances in Multimedia (2022) Vol. 2022, pp. 1-10
Open Access | Times Cited: 1
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