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 progress in fault detection of battery systems: A review
Yuzhao Shang, Shanshuai Wang, Nianhang Tang, et al.
Journal of Energy Storage (2024) Vol. 98, pp. 113079-113079
Closed Access | Times Cited: 45

Showing 1-25 of 45 citing articles:

Improved informer PV power short-term prediction model based on weather typing and AHA-VMD-MPE
Shuhui Cui, Shouping Lyu, Yongzhi Ma, et al.
Energy (2024) Vol. 307, pp. 132766-132766
Closed Access | Times Cited: 39

Progress in estimating the state of health using transfer learning–based electrochemical impedance spectroscopy of lithium-ion batteries
Guangheng Qi, Guangwen Du, Kai Wang
Ionics (2025) Vol. 31, Iss. 3, pp. 2337-2349
Closed Access | Times Cited: 1

A multiscale network with mixed features and extended regional weather forecasts for predicting short-term photovoltaic power
Ruoyang Zhang, Yu Wu, Lei Zhang, et al.
Energy (2025), pp. 134792-134792
Closed Access | Times Cited: 1

Research Progress and Prospects of Liquid–Liquid Triboelectric Nanogenerators: Mechanisms, Applications, and Future Challenges
Yuanyuan Pan, Jilong Song, Kai Wang
ACS Applied Electronic Materials (2024) Vol. 7, Iss. 1, pp. 1-12
Closed Access | Times Cited: 12

Faradically Dominant Pseudocapacitive Graphitic Carbon Nitride Nanosheets Decorated with Strontium Tungstate Nanospheres for Supercapattery Device and Hydrogen Evaluation Reaction
Ehtisham Umar, Muhammad Waqas Iqbal, Fozia Shaheen, et al.
Electrochimica Acta (2024) Vol. 510, pp. 145339-145339
Closed Access | Times Cited: 5

Harnessing the Synergistic Potential of CuFe2O4 /MIL-101(Fe) as a Sustainable Catalyst for Visible Light-Driven Ciprofloxacin Photodegradation
Athena Adabi, Maryam Nikzad, Masoumeh Taherimehr, et al.
Journal of Alloys and Compounds (2025), pp. 178456-178456
Closed Access

Progress and prospects of lithium-ion capacitors: a review
Yi Liu, Hedong Jiang, Pingchun Guo, et al.
Journal of Materials Science (2025)
Closed Access

Evaluation of Low-Complexity Algorithms for Assessing Lithium-Ion Battery Charging Based on State of Health Metrics
Shun‐Chung Wang, Chun-Liang Liu, Guan‐Jhu Chen, et al.
International Journal of Electrochemical Science (2025) Vol. 20, Iss. 3, pp. 100946-100946
Open Access

Advanced short-term load forecasting for residential demand response: An XGBoost-ANN ensemble approach
G. Harikrishnan, Sasidharan Sreedharan, Natarajan Chellappa
Electric Power Systems Research (2025) Vol. 242, pp. 111476-111476
Closed Access

All-in-one self-powered wind speed sensor with a wide start-up range and high output power
Yun Yang, Shuai Zhang, Kuizhi Li, et al.
APL Materials (2025) Vol. 13, Iss. 2
Open Access

Advancement in battery health monitoring methods for electric vehicles: Battery modelling, state estimation, and internet-of-things based methods
Mohammad Waseem, G. Sree Lakshmi, Mohammad Amir, et al.
Journal of Power Sources (2025) Vol. 633, pp. 236414-236414
Closed Access

Early prediction of battery knee interval before capacity degradation
Y.Y. Yu, Shunfeng Yang, Gucheng Wang, et al.
Journal of Power Sources (2025) Vol. 633, pp. 236438-236438
Closed Access

Battery fault diagnosis methods for electric vehicle Lithium-ion batteries: correlating codes and battery management system
G. Naresh, T. Praveenkumar, Dinesh Kumar Madheswaran, et al.
Process Safety and Environmental Protection (2025), pp. 106919-106919
Closed Access

Accurate and adaptive state of health estimation for lithium-ion battery based on patch learning framework
Yuyao Li, Xiangwen Zhang, Ziyang Li, et al.
Measurement (2025), pp. 117083-117083
Closed Access

Risk Propagation Mechanisms in Railway Systems under Extreme Weather: A Knowledge Graph-based Unsupervised Causation Chain Approach
Yujie Huang, Zhipeng Zhang, Hao Hu
Reliability Engineering & System Safety (2025) Vol. 260, pp. 110976-110976
Closed Access

Evaluation of commercial Li-Ion 18650 battery cells for deep space applications
Pablo Casado, J. M. Blanes, A. Garrigós, et al.
Journal of Power Sources (2025) Vol. 638, pp. 236552-236552
Closed Access

Accurate estimation of state of health for lithium-ion batteries based on Pyraformer and TimeGAN data augmentation
Xinhua Liu, Kaiyi Yang, Bosong Zou, et al.
Journal of Power Sources (2025) Vol. 640, pp. 236722-236722
Closed Access

Deep learning-based source term estimation of hydrogen leakages from a hydrogen fueled gas turbine
A. Li, Zi–Qiang Lang, Chuantao Ni, et al.
International Journal of Hydrogen Energy (2024) Vol. 86, pp. 875-889
Closed Access | Times Cited: 4

Temporal pattern attention based Hammerstein model for estimating battery SOC
Haiyang Hu, Zengkun Xie, Dongqing Wang
Journal of Energy Storage (2024) Vol. 100, pp. 113666-113666
Closed Access | Times Cited: 4

A generic fusion framework integrating deep learning and Kalman filter for state of charge estimation of lithium-ion batteries: Analysis and comparison
Hanqing Yu, He Lu, Zhengjie Zhang, et al.
Journal of Power Sources (2024) Vol. 623, pp. 235493-235493
Closed Access | Times Cited: 4

Battery health state prediction based on lightweight neural networks: A review
Longlong Zhang, Shanshuai Wang, Shi Wang, et al.
Ionics (2024)
Closed Access | Times Cited: 4

Advanced data-driven fault diagnosis in lithium-ion battery management systems for electric vehicles: Progress, challenges, and future perspectives
Maher G. M. Abdolrasol, Afida Ayob, Molla Shahadat Hossain Lipu, et al.
eTransportation (2024) Vol. 22, pp. 100374-100374
Closed Access | Times Cited: 4

Data-Driven Optimised XGBoost for Predicting the Performance of Axial Load Bearing Capacity of Fully Cementitious Grouted Rock Bolting Systems
Behshad Jodeiri Shokri, Ali Mirzaghorbanali, Kevin McDougall, et al.
Applied Sciences (2024) Vol. 14, Iss. 21, pp. 9925-9925
Open Access | Times Cited: 4

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