The DOI matches its Crossref record; 154 of the 154 references it cites were found in a registry or an index.
Artificial intelligence and numerical models in hybrid renewable energy systems with fuel cells: Advances and prospects
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Citations
Cites
Multilayer feedforward networks are universal approximators
Hornik, K., Stinchcombe, M., & White, H. (1989) · Neural Networks · doi:10.1016/0893-6080(89)90020-8 · Cited by 21,728
A comprehensive review on PEM water electrolysis
Carmo, M., Fritz, D. L., Mergel, J., & Stolten, D. (2013) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2013.01.151 · Cited by 5,492
Luo, X., Wang, J., Dooner, M., & Clarke, J. (2015) · Applied Energy · doi:10.1016/j.apenergy.2014.09.081 · Cited by 3,869
Progress in electrical energy storage system: a critical review
Chen, H., Cong, T. N., Yang, W., Tan, C., Li, Y., & Ding, Y. (2009) · Progress in Natural Science · doi:10.1016/j.pnsc.2008.07.014 · Cited by 3,746
Metal hydride materials for solid hydrogen storage: A review
SAKINTUNA, B., LAMARIDARKRIM, F., & HIRSCHER, M. (2007) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2006.11.022 · Cited by 3,715
Energy storage systems—Characteristics and comparisons
IBRAHIM, H., ILINCA, A., & PERRON, J. (2008) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2007.01.023 · Cited by 2,331
Electrical energy storage systems: A comparative life cycle cost analysis
Zakeri, B., & Syri, S. (2015) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2014.10.011 · Cited by 1,861
Moradi, R., & Groth, K. M. (2019) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2019.03.041 · Cited by 1,390
Hydrogen in energy transition: A review
Kovač, A., Paranos, M., & Marciuš, D. (2021) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2020.11.256 · Cited by 1,214
Recent advances in high temperature electrolysis using solid oxide fuel cells: A review
Laguna-Bercero, M. A. (2012) · Journal of Power Sources · doi:10.1016/j.jpowsour.2011.12.019 · Cited by 1,156
Cited by
Nnabuife, S. G., Hamzat, A. K., Whidborne, J., Kuang, B., & Jenkins, K. W. (2025) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2024.06.342 · Cited by 401
Farghali, M., Osman, A. I., Chen, Z., Abdelhaleem, A., Ihara, I., Mohamed, I. M. A., Yap, P.-S., & Rooney, D. W. (2023) · Environmental Chemistry Letters · doi:10.1007/s10311-023-01587-1 · Cited by 361
Liu, Z., Sun, Y., Xing, C., Liu, J., He, Y., Zhou, Y., & Zhang, G. (2022) · Energy and AI · doi:10.1016/j.egyai.2022.100195 · Cited by 288
Guo, Y., Huang, K., Yu, X., & Wang, Y. (2022) · Electrochimica Acta · doi:10.1016/j.electacta.2022.140940 · Cited by 82
Metadata
- Authors
- Al-Othman, A., Tawalbeh, M., Martis, R., Dhou, S., Orhan, M., Qasim, M., & Ghani Olabi, A.
- Venue
- Energy Conversion and Management
- Publisher
- Elsevier BV
- Published
- 2022-02
- Volume
- 253
- Pages
- 115154
- ISSN
- 0196-8904 (ISSN-L)
- OpenAlex
- W4206130868
- Cited by
- 258
- References
- 154
- FWCI
- 9.41
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Artificial intelligence and numerical models in hybrid renewable energy systems with fuel cells: Advances and prospects. https://app.cochat.ai/papers/10.1016/j.enconman.2021.115154
- The paper
- Al-Othman, A., Tawalbeh, M., Martis, R., Dhou, S., Orhan, M., Qasim, M., & Ghani Olabi, A. (2022). Artificial intelligence and numerical models in hybrid renewable energy systems with fuel cells: Advances and prospects. Energy Conversion and Management. https://doi.org/10.1016/j.enconman.2021.115154
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
