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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:

XGBoost-Based Remaining Useful Life Estimation Model with Extended Kalman Particle Filter for Lithium-Ion Batteries
Sadiqa Jafari, Yung-Cheol Byun
Sensors (2022) Vol. 22, Iss. 23, pp. 9522-9522
Open Access | Times Cited: 22

Showing 22 citing articles:

Semi-supervised learning for explainable few-shot battery lifetime prediction
Nanlin Guo, Sihui Chen, Jun Tao, et al.
Joule (2024) Vol. 8, Iss. 6, pp. 1820-1836
Closed Access | Times Cited: 32
Recent advancement of remaining useful life prediction of lithium-ion battery in electric vehicle applications: A review of modelling mechanisms, network configurations, factors, and outstanding issues
M. S. Reza, M. Mannan, Muhamad Mansor, et al.
Energy Reports (2024) Vol. 11, pp. 4824-4848
Open Access | Times Cited: 23
Battery Remaining Useful Life Prediction Using Machine Learning Models: A Comparative Study
Vahid Safavi, Arash Mohammadi, Najmeh Bazmohammadi, et al.
Information (2024) Vol. 15, Iss. 3, pp. 124-124
Open Access | Times Cited: 9
A multi-step fast charging-based battery capacity estimation framework of real-world electric vehicles
Dayu Zhang, Zhenpo Wang, Peng Liu, et al.
Energy (2024) Vol. 294, pp. 130773-130773
Closed Access | Times Cited: 9
Optimized XGBoost modeling for accurate battery capacity degradation prediction
Sadiqa Jafari, Ji-Hyeok Yang, Yung-Cheol Byun
Results in Engineering (2024), pp. 102786-102786
Open Access | Times Cited: 9
A review of Bayesian-filtering-based techniques in RUL prediction for Lithium-Ion batteries
May Htet Htet Khine, Cheong Kim, Nattapol Aunsri
Journal of Energy Storage (2025) Vol. 111, pp. 115371-115371
Closed Access | Times Cited: 1
Combined improved tuna swarm optimization with graph convolutional neural network for remaining useful life of engine
Yongliang Yuan, Qingkang Yang, Guohu Wang, et al.
Quality and Reliability Engineering International (2024) Vol. 41, Iss. 1, pp. 174-191
Closed Access | Times Cited: 4
Data-Driven Approaches for State-of-Charge Estimation in Battery Electric Vehicles Using Machine and Deep Learning Techniques
Ehab Issa El-sayed, Salah K. Elsayed, Mohammad Alsharef
Sustainability (2024) Vol. 16, Iss. 21, pp. 9301-9301
Open Access | Times Cited: 4
A Bayesian transfer learning framework for assessing health status of Lithium-ion batteries considering individual battery operating states
Jiarui Zhang, Lei Mao, Zhongyong Liu, et al.
Applied Energy (2025) Vol. 382, pp. 125260-125260
Closed Access
Wavelet and AI-based reservoir evaporation modeling for optimized water management: a case study of Koudiat Acerdoun Dam
Leila Benchaiba, Abderzak Moussouni, Amer Zeghmar, et al.
Theoretical and Applied Climatology (2025) Vol. 156, Iss. 4
Closed Access
A sequence to sequence prediction model for remaining useful life of lithium-ion batteries with Bayesian optimisation process visualization
Peiwei Xie, Xiaoxian Pang, Chengyun Wang, et al.
Journal of Energy Storage (2024) Vol. 87, pp. 111346-111346
Closed Access | Times Cited: 3
A Comprehensive Review of Key Technologies for Enhancing the Reliability of Lithium-Ion Power Batteries
Yue Ren, Chunhua Jin, Shu Fang, et al.
Energies (2023) Vol. 16, Iss. 17, pp. 6144-6144
Open Access | Times Cited: 8
Explainable Predictive Maintenance is Not Enough: Quantifying Trust in Remaining Useful Life Estimation
Ripan Kumar Kundu, Khaza Anuarul Hoque
Annual Conference of the PHM Society (2023) Vol. 15, Iss. 1
Open Access | Times Cited: 5
Dynamic grouping maintenance optimization by considering the probabilistic remaining useful life prediction of multiple equipment
Xiangang Cao, Xinyu Shi, Jiangbin Zhao, et al.
Eksploatacja i Niezawodnosc - Maintenance and Reliability (2024) Vol. 26, Iss. 3
Open Access | Times Cited: 1
HyPELS: enhancing li-ion battery remaining useful life prediction with hybrid perspective ensemble learning strategy
Xue Han, Huimei Yuan, Lifeng Wu
Engineering Research Express (2024) Vol. 6, Iss. 4, pp. 045218-045218
Closed Access | Times Cited: 1
A Method for Satellite Component Health Assessment Based on Multiparametric Data Distribution Characteristics
Yongchao Hui, Yuehua Cheng, Bin Jiang, et al.
Aerospace (2023) Vol. 10, Iss. 4, pp. 356-356
Open Access | Times Cited: 2
An Intelligent Cost-Reference Particle Filter with Resampling of Multi-Population Cooperation
Xinyu Zhang, Mengjiao Ren, Jiemin Duan, et al.
Sensors (2023) Vol. 23, Iss. 14, pp. 6603-6603
Open Access | Times Cited: 2
High precision estimation of remaining useful life of lithium-ion batteries based on strongly correlated aging feature factors and AdaBoost framework
Renjun Feng, Shunli Wang, Chunmei Yu, et al.
Ionics (2024) Vol. 30, Iss. 10, pp. 6215-6237
Closed Access
Prediction of Remaining Useful Life of Mechanical Equipment : A Review
Gang Bao, Ranran Zhau, Rui Xu, et al.
(2023), pp. 83-89
Closed Access | Times Cited: 1
Attitude Detection Classification based on Feature Selection and Integrated Machine Learning Model
Yonglin Zou, Xuefen Liu, Ziqi Liao, et al.
Scientific Journal of Technology (2023) Vol. 5, Iss. 3, pp. 84-90
Open Access
SOH Estimation of Lithium-ion Battery Based on Energy Features and WOA-XGBoost Model
Xiaoming Wang, Hongbin Wu, Lulu Wang, et al.
2022 IEEE 5th International Electrical and Energy Conference (CIEEC) (2023) Vol. 262, pp. 1832-1837
Closed Access
The Value of the Gensini Score For Prognostic Assessment in Patients with Acute Coronary Syndrome--A Retrospective Cohort Study Based on Machine Learning Methods
Lixia Chen, Sixiang Jia, Xuanting Mou, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
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