Open Access Helper

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:

AI-Driven Digital Twin Model for Reliable Lithium-Ion Battery Discharge Capacity Predictions
Pranav Nair, Vinay Vakharia, Milind Shah, et al.
International Journal of Intelligent Systems (2024) Vol. 2024, pp. 1-18
Open Access | Times Cited: 36

Showing 1-25 of 36 citing articles:

Numerical and machine learning modeling of GFRP confined concrete-steel hollow elliptical columns
Haytham F. Isleem, Qiong Tang, Mostafa M. Alsaadawi, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 27
State of charge estimation of lithium batteries: Review for equivalent circuit model methods
Zhen Tao, Zhenyu Zhao, Changdong Wang, et al.
Measurement (2024) Vol. 236, pp. 115148-115148
Closed Access | Times Cited: 21
Machine learning models for predicting water quality index: optimization and performance analysis for El Moghra, Egypt
Mohamed Kamel Elshaarawy, Mohamed Galal Eltarabily
Water Science & Technology Water Supply (2024) Vol. 24, Iss. 9, pp. 3269-3294
Open Access | Times Cited: 19
Stacked ensemble model for optimized prediction of triangular side orifice discharge coefficient
Mohamed Kamel Elshaarawy, Abdelrahman Kamal Hamed
Engineering Optimization (2024), pp. 1-31
Closed Access | Times Cited: 19
Analytical and structural characterization of waste lithium-ion batteries for their effective recycling strategy
Sailaja Priyadarsini, Alok Prasad Das
Environmental Chemistry and Ecotoxicology (2024)
Open Access | Times Cited: 16
Construction of Machine Learning Models to Predict the Maximum Absorption Wavelength Considering the Solute and Solvent and Inverse Analysis of the Models
Hiroyasu Ochiai, Hiromasa Kaneko
ACS Omega (2025) Vol. 10, Iss. 1, pp. 665-672
Open Access | Times Cited: 1
Machine learning and interactive GUI for estimating roller length of hydraulic jumps
Mohamed Kamel Elshaarawy, Abdelrahman Kamal Hamed
Neural Computing and Applications (2024)
Closed Access | Times Cited: 6
A Hybrid Deep Learning Method for the Estimation of the State of Health of Lithium‐Ion Batteries
Shuo Cheng
International Transactions on Electrical Energy Systems (2025) Vol. 2025, Iss. 1
Open Access
A quantitative recognition method based on VMD, CNN, and SVM for detecting wire rope breakage damage inside elevator steel belts
Yuxing Peng, Jun Gu, Xiangdong Chang, et al.
Structural Health Monitoring (2025)
Closed Access
An adaptive ensemble learning capacity prediction method with dual-modal data in lithium-ion battery manufacturing
Guocui Zhang, Changlun Zhang, Qiang He
International Journal of Green Energy (2025), pp. 1-12
Closed Access
Research on texture features classification of multilayered wood flooring using global image structure method
Bokai Yang, Rongrong Li, Meng Yuan, et al.
Wood Material Science and Engineering (2025), pp. 1-13
Closed Access
Development of a Li-Ion Battery Module Digital Twin Using Matlab Toolboxes
Marc Sanchez-Mateu, Vicente Domingo Estruch Fuster, Héctor Beltrán
Lecture notes in electrical engineering (2025), pp. 319-332
Closed Access
AI-based approach for detecting FDI attacks in load frequency control for centralized multi-area power systems
Hasnain Ahmad, Muhammad Majid Gulzar, Ghulam Mustafa, et al.
Computers & Electrical Engineering (2025) Vol. 123, pp. 110060-110060
Closed Access
Machine Learning-Assisted Accelerated Research of Energy Storage Properties of BaTiO3–BiMeO3 Ceramics
Jian Liu, Peifeng Xiong, Changjiao Li, et al.
ACS Sustainable Chemistry & Engineering (2025)
Closed Access
Machine learning-assisted design and prediction of materials for batteries based on alkali metals
Ke Si, Zhipeng Sun, Huaxin Song, et al.
Physical Chemistry Chemical Physics (2025)
Closed Access
Artificial Intelligence-Driven Electric Vehicle Battery Lifetime Diagnostics
Jingyuan Zhao, Andrew Burke
IntechOpen eBooks (2025)
Closed Access
Overview: Application Status and Prospects of Digital Twin Technology in Mechanical Cutting Processing
Xin Li, Gao Hanjun, Chen Xioman, et al.
Journal of Industrial Information Integration (2025), pp. 100822-100822
Closed Access
Safeguarding Pipeline Integrity Through Stacked Ensemble Learning and Data Fusion
Hussein Alaa Hussein, Sharafiz B. Abdul Rahim, Faizal Mustapha, et al.
International journal of mechanical system dynamics (2025)
Open Access
Investigating lithium-ion battery discharge capacity under variable operating conditions using nature-inspired hybrid algorithms with minimal descriptors
Y.S. Wudil, M.A. Gondal, Mohammed A. Al‐Osta
Journal of Energy Storage (2025) Vol. 118, pp. 116310-116310
Closed Access
TNFR‐LSTM: A Deep Intelligent Model for Identification of Tumour Necroses Factor Receptor (TNFR) Activity
Faisal Binzagr, Ansar Naseem, Muhammad Umer Farooq, et al.
IET Systems Biology (2025) Vol. 19, Iss. 1
Open Access
A Deep Wavelet-Fourier Method for Monaural Vehicle Speed Estimation in Real-Life Settings
Hossein Parineh, Majid Sarvi, Saeed Asadi Bagloee
IEEE Sensors Journal (2024) Vol. 24, Iss. 9, pp. 15337-15346
Closed Access | Times Cited: 2
Driving sustainability - The role of digital twin in enhancing battery performance for electric vehicles
P.K. Rajesh, T. Soundarya, K.V. Jithin
Journal of Power Sources (2024) Vol. 604, pp. 234464-234464
Closed Access | Times Cited: 2
Quantitative evaluation of spheroidisation in 15CrMo steel based on deep learning
Jinlong Li, Zenghua Liu, Yang Zheng, et al.
Nondestructive Testing And Evaluation (2024), pp. 1-32
Closed Access | Times Cited: 2
Predictive modeling of CO2 solubility in piperazine aqueous solutions using boosting algorithms for carbon capture goals
Mohammadreza Mohammadi, Aydin Larestani, Mahin Schaffie, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2
Risk assessment of initial crack propagation in bearing steel based on finite element analysis and machine learning
Shuxin Jiang, Jing Du, Shuang Wang, et al.
Mechanics Based Design of Structures and Machines (2024), pp. 1-16
Closed Access | Times Cited: 2
Page 1 - Next Page

Scroll to top