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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:

A novel battery SOC estimation method based on random search optimized LSTM neural network
Xuqing Chai, Shihao Li, Fengwei Liang
Energy (2024) Vol. 306, pp. 132583-132583
Closed Access | Times Cited: 20

Showing 20 citing articles:

A lithium-ion battery state of health estimation method utilizing convolutional neural networks and bidirectional long short-term memory with attention mechanisms for collaborative defense against false data injection cyber-attacks
Tianqing Yuan, Fei Gao, Jing Bai, et al.
Journal of Power Sources (2025) Vol. 631, pp. 236193-236193
Closed Access
Which uncertainty measure better predicts gold prices? New evidence from a CNN-LSTM approach
Wanhai You, Jianyong Chen, Haoqi Xie, et al.
The North American Journal of Economics and Finance (2025), pp. 102375-102375
Closed Access
Stat-of-charge estimation for lithium-ion batteries based on recurrent neural network: Current status and perspectives
Yucheng Zhang, Xiao Tan, Zhenjun Wang
Journal of Energy Storage (2025) Vol. 112, pp. 115575-115575
Closed Access
State of Charge Estimation of Lithium-ion Batteries in an Electric Vehicle using Hybrid Metaheuristic - Deep Neural Networks Models
Zuriani Mustaffa, Mohd Herwan Sulaiman, Jeremiah Isuwa
Energy Storage and Saving (2025)
Open Access
A novel dual gated recurrent unit neural network based on error compensation integrated with Kalman filter for the state of charge estimation of parallel battery modules
Yongkang Liu, Yongjun Tian, Danzhe Liu, et al.
Journal of Power Sources (2025) Vol. 635, pp. 236508-236508
Closed Access
State of charge (SOC) estimation in electric vehicle (EV) battery management systems using ensemble methods and neural networks
Edward Ofoegbu
Journal of Energy Storage (2025) Vol. 114, pp. 115833-115833
Open Access
Uneven internal SOC distribution estimation of lithium-ion batteries using ultrasonic transmission signals: A new data screening technique and an improved deep residual network
Ting Tang, Quan Xia, Mingkang Xu, et al.
eTransportation (2025), pp. 100406-100406
Closed Access
State of power estimation for LIBs in electric vehicles: Recent progress, challenges, and prospects
Xueling Shen, Hang Zhang, Jingjing Li, et al.
Journal of Energy Storage (2025) Vol. 115, pp. 116042-116042
Closed Access
Exploiting Artificial Neural Networks for the State of Charge Estimation in EV/HV Battery Systems: A Review
Pierpaolo Dini, Davide Paolini
Batteries (2025) Vol. 11, Iss. 3, pp. 107-107
Open Access
State of charge estimation for lithium-ion batteries based on physics-embedded neural network
Peichao Li, Shenghong Ju, Shichen Bai, et al.
Journal of Power Sources (2025) Vol. 640, pp. 236785-236785
Closed Access
Enhancing battery SOC estimation with BTGE: A novel synergy of filtering, Transformer, and ELM
Bo Zhu, Li Jia, Quan-Ke Pan, et al.
Expert Systems with Applications (2025), pp. 127259-127259
Closed Access
A comprehensive review of hybrid battery state of charge estimation: Exploring physics-aware AI-based approaches
Hoda Sorouri, Arman Oshnoei, Yunhong Che, et al.
Journal of Energy Storage (2024) Vol. 100, pp. 113604-113604
Closed Access | Times Cited: 4
A deep learning framework for predicting slab transverse crack using multivariate LSTM-FCN in continuous casting
Mengying Geng, Haonan Ma, Jiaxiang Wang, et al.
Expert Systems with Applications (2024), pp. 125413-125413
Closed Access | Times Cited: 1
CL-Kansformer model for SOC prediction of hydrogen refueling process in fuel cell vehicles
Donghai Hu, Zhaoxia Hu, Jing Wang, et al.
Journal of Power Sources (2024) Vol. 626, pp. 235772-235772
Closed Access | Times Cited: 1
Prediction of building energy consumption for public structures utilizing BIM-DB and RF-LSTM
Feng Zhou, Chengdong Yang, Zhe Wang
Energy Reports (2024) Vol. 12, pp. 4631-4640
Open Access | Times Cited: 1
Enhancing battery electrochemical-thermal model accuracy through a hybrid parameter estimation framework
Yihang Zhao, Mingshan Wei, Dan Dan, et al.
Energy storage materials (2024) Vol. 72, pp. 103720-103720
Closed Access
Real-time electrochemical-strain distribution and state-of-charge mapping via distributed optical fiber for lithium-ion batteries
Kai Li, Yu Huang, Gaoce Han, et al.
Journal of Power Sources (2024) Vol. 624, pp. 235526-235526
Closed Access
Robust Estimation of Lithium Battery State of Charge with Random Missing Current Measurement Data
Xi Li, Zongsheng Zheng, Jinhao Meng, et al.
Electronics (2024) Vol. 13, Iss. 22, pp. 4436-4436
Open Access
State of Charge-State of Health Collaborative Estimation of the Lithium-ion Battery Based on an Innovative Hybrid Optimization Network
Xi Zhang, Li Wang, Muyao Wu
Journal of Energy and Natural Resources (2024) Vol. 13, Iss. 4, pp. 166-177
Open Access
Joint Battery State of Charge Estimation Method Based on a Fractional-Order Model with an Improved Unscented Kalman Filter and Extended Kalman Filter for Full Parameter Updating
Jingjin Wu, Yuhao Li, Qian Sun, et al.
Fractal and Fractional (2024) Vol. 8, Iss. 12, pp. 695-695
Open Access
Lithium Battery SOC Estimation Based on Type-2 Fuzzy Cerebellar Model Neural Network
Jing Zhao, M. M. Ge, Qiyu Huang, et al.
Electronics (2024) Vol. 13, Iss. 24, pp. 4999-4999
Open Access
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