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:

Showing 15 citing articles:

Advancements in graphene-based nanostructured conducting polymer hybrid composite electrodes for high-performance supercapacitors
Paramjit Singh, Avtar Singh, Rashmi Saini, et al.
Journal of Power Sources (2025) Vol. 630, pp. 236176-236176
Closed Access | Times Cited: 2

Artificial intelligence-assisted electrochemical sensors for qualitative and semi-quantitative multiplexed analyses
Rocco Cancelliere, Mario Molinara, Antonio Licheri, et al.
Digital Discovery (2025)
Open Access | Times Cited: 2

Waves of change: Electrochemical innovations for environmental management and resource recovery from water – A review
Sivasubramanian Manikandan, S. Deena, Ramasamy Subbaiya, et al.
Journal of Environmental Management (2024) Vol. 366, pp. 121879-121879
Closed Access | Times Cited: 6

A Novel Hybrid Optimization Approach for Fault Detection in Photovoltaic Arrays and Inverters Using AI and Statistical Learning Techniques: A Focus on Sustainable Environment
Ahmad Abubakar, Mahmud M. Jibril, Carlos Frederico Meschini Almeida, et al.
Processes (2023) Vol. 11, Iss. 9, pp. 2549-2549
Open Access | Times Cited: 13

Attention towards chemistry agnostic and explainable battery lifetime prediction
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, et al.
npj Computational Materials (2024) Vol. 10, Iss. 1
Open Access | Times Cited: 5

Strategic engineering of NiO/Co3O4/rGO hybrid composite as a cathode material to enhance the electrochemical performance of supercapattery devices
M. Geerthana, Prakash Kamarajar, J. Archana, et al.
Journal of Energy Storage (2024) Vol. 86, pp. 111037-111037
Closed Access | Times Cited: 4

Applications of machine learning in surfaces and interfaces
Shaofeng Xu, Jing‐Yuan Wu, Ying Guo, et al.
Chemical Physics Reviews (2025) Vol. 6, Iss. 1
Open Access

Transition metal phosphide/ molybdenum disulfide heterostructures towards advanced electrochemical energy storage: recent progress and challenges
Ali Shahmohammadi, Samad Dalvand, Aysan Molaei, et al.
RSC Advances (2025) Vol. 15, Iss. 17, pp. 13397-13430
Open Access

Inorganic–organic modular silicon and dye-sensitized solar cells and predicted role of artificial intelligence towards efficient and stable solar chargers based on supercapacitors
Ireneusz Plebankiewicz, Krzysztof Artur Bogdanowicz, Paweł Kwaśnicki, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 2

Carbon‐Based 3D Architectures as Anodes for Lithium‐Ion Battery Systems
Junaid Aslam, Muhammad Waseem, Yifan Zhang, et al.
ChemPlusChem (2024)
Closed Access | Times Cited: 2

Stabilized oily-wastewater separation based on superhydrophilic and underwater superoleophobic ceramic membranes: Integrated experimental design and standalone machine learning algorithms
Jamilu Usman, Sani I. Abba, A. G. Usman, et al.
Journal of the Taiwan Institute of Chemical Engineers (2024) Vol. 164, pp. 105704-105704
Closed Access | Times Cited: 2

Attention towards chemistry agnostic and explainable battery lifetime prediction
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, et al.
(2023)
Open Access | Times Cited: 3

Engineering the Invisible
K Madhukumar, Manikala Vinod Kumar, Nivedita Kumar, et al.
Advances in chemical and materials engineering book series (2024), pp. 271-328
Closed Access

Attention towards chemistry agnostic and explainable battery lifetime prediction
Fuzhan Rahmanian, Robert M. Lee, Dominik Linzner, et al.
(2023)
Open Access

Enhancing Battery Voltage Prediction with Deep Learning: A Comparative Analysis of LSTM and Traditional Models
Masoumeh Rostam Niakan, Mojtaba Hajihosseini, Seyed Saeed Madani, et al.
2022 IEEE 5th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE) (2023), pp. 491-495
Closed Access

Page 1

Scroll to top