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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:

Thermodynamics Investigation and Artificial Neural Network Prediction of Energy, Exergy, and Hydrogen Production from a Solar Thermochemical Plant Using a Polymer Membrane Electrolyzer
Atef El Jery, Hayder Mahmood Salman, Rusul Mohammed Al-Khafaji, et al.
Molecules (2023) Vol. 28, Iss. 6, pp. 2649-2649
Open Access | Times Cited: 14

Showing 14 citing articles:

Deep Learning and Artificial Intelligence in Sustainability: A Review of SDGs, Renewable Energy, and Environmental Health
Zhencheng Fan, Zheng Yan, Shiping Wen
Sustainability (2023) Vol. 15, Iss. 18, pp. 13493-13493
Open Access | Times Cited: 101
A comprehensive review of green hydrogen energy systems
Fanourios Kourougianni, Alexandros Arsalis, Andreas V. Olympios, et al.
Renewable Energy (2024) Vol. 231, pp. 120911-120911
Closed Access | Times Cited: 52
3D hollow spheres comprising MXene/g-C3N4 heterostructre for efficient polysulfide adsorption and conversion in high-performance Li-S batteries
Ekhlas Abd-Alkuder Salman, Khalida Abaid Samawi, Maadh Fawzi Nassar, et al.
Journal of Electroanalytical Chemistry (2023) Vol. 945, pp. 117629-117629
Closed Access | Times Cited: 24
Navigating challenges and opportunities of machine learning in hydrogen catalysis and production processes: beyond algorithm development
Mohd Nur Ikhmal Salehmin, Tiong Sieh Kiong, Hassan Mohamed, et al.
Journal of Energy Chemistry (2024) Vol. 99, pp. 223-252
Closed Access | Times Cited: 5
Implementation and feasibility of green hydrogen in Colombian kitchens: an analysis of innovation and sustainability
Jhon Vidal-Durango, Rubén Baena-Navarro, Kevin Therán-Nieto
Indonesian Journal of Electrical Engineering and Computer Science (2024) Vol. 34, Iss. 2, pp. 726-726
Open Access | Times Cited: 4
Flutter investigation and deep learning prediction of FG composite wing reinforced with carbon nanotube
Aseel Jasim Mohammed, Hatam K. Kadhom
Curved and Layered Structures (2024) Vol. 11, Iss. 1
Open Access | Times Cited: 2
Z-Scan Study of the Non-linear Optical Properties of Silver/Curcumin Dye Nanocomposites Prepared Via Nanosecond Pulsed Laser Ablation
Nadia Mohammed Jassim, Nada Ismael Ibrahim
Revue des composites et des matériaux avancés (2024) Vol. 34, Iss. 4, pp. 533-540
Open Access | Times Cited: 1
Enhancing the performance of pyridyl carboxamide-N,N-dimethyl amino chalcone (PCC) as a dye sensitizer for dye-sensitized solar cells (DSSCs) through the incorporation of electron donor moieties
Maadh Fawzi Nassar, Emilia Abdulmalek, Mohd F. Ismail, et al.
International Journal of Electrochemical Science (2024) Vol. 19, Iss. 9, pp. 100715-100715
Open Access
Modeling and Optimization Control of SOEC with Flexible Adjustment Capabilities
Yaqing He, Weiqing Wang, Yingtian Chi, et al.
(2024)
Closed Access
An atomistic study on the strain rate and temperature dependences of the plastic deformation Cu–Au core–shell nanowires: On the role of dislocations
Ibrahim Abdulwahhab Atiyah, Ismail Ibrahim Marhoon, Raed K. Mohammed Jawad
Journal of the Mechanical Behavior of Materials (2023) Vol. 32, Iss. 1
Open Access
Optimization of oil industry wastewater treatment system and proposing empirical correlations for chemical oxygen demand removal using electrocoagulation and predicting the system’s performance by artificial neural network
Atef El Jery, Hayder Mahmood Salman, Nadhir Al‐Ansari, et al.
PeerJ (2023) Vol. 11, pp. e15852-e15852
Open Access
Peer Review #2 of "Optimization of oil industry wastewater treatment system and proposing empirical correlations for chemical oxygen demand removal using electrocoagulation and predicting the system’s performance by artificial neural network (v0.1)"
Atef El, Hayder Mahmood, Nadhir Al‐Ansari, et al.
(2023)
Open Access
Peer Review #1 of "Optimization of oil industry wastewater treatment system and proposing empirical correlations for chemical oxygen demand removal using electrocoagulation and predicting the system’s performance by artificial neural network (v0.1)"
Atef El, Hayder Mahmood, Nadhir Al‐Ansari, et al.
(2023)
Open Access
Peer Review #2 of "Optimization of oil industry wastewater treatment system and proposing empirical correlations for chemical oxygen demand removal using electrocoagulation and predicting the system’s performance by artificial neural network (v0.2)"
Atef El, Hayder Mahmood, Nadhir Al‐Ansari, et al.
(2023)
Open Access
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