The DOI matches its Crossref record; 268 of the 268 references it cites were found in a registry or an index.
Renewable energy: Present research and future scope of Artificial Intelligence
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Citations
Cites
The Nature of Statistical Learning Theory
Vapnik, V. N. (1995) · doi:10.1007/978-1-4757-2440-0 · Cited by 39,138
Artificial intelligence: a modern approach
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Power Generation, Operation, and Control
Wood, A. J., & Wollenberg, B. F. (1984) · Cited by 8,337
Microalgae for biodiesel production and other applications: A review
Mata, T. M., Martins, A. A., & Caetano, N. S. (2010) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2009.07.020 · Cited by 5,685
Pyrolysis of Wood/Biomass for Bio-oil: A Critical Review
Mohan, D., Pittman, C. U., & Steele, P. H. (2006) · Energy & Fuels · doi:10.1021/ef0502397 · Cited by 5,663
The Nature of Statistical Learning Theory
Sain, S. R. (1996) · Technometrics · doi:10.1080/00401706.1996.10484565 · Cited by 5,434
Oceanic vertical mixing: A review and a model with a nonlocal boundary layer parameterization
Large, W. G., McWilliams, J. C., & Doney, S. C. (1994) · Reviews of Geophysics · doi:10.1029/94rg01872 · Cited by 4,443
Power-Electronic Systems for the Grid Integration of Renewable Energy Sources: A Survey
Carrasco, J. M., Franquelo, L. G., Bialasiewicz, J. T., Galvan, E., PortilloGuisado, R. C., Prats, M. A. M., Leon, J. I., & Moreno-Alfonso, N. (2006) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2006.878356 · Cited by 4,018
Role of renewable energy sources in environmental protection: A review
Panwar, N. L., Kaushik, S. C., & Kothari, S. (2011) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2010.11.037 · Cited by 3,897
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
Cited by
Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities
Ahmad, T., Zhang, D., Huang, C., Zhang, H., Dai, N., Song, Y., & Chen, H. (2021) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2021.125834 · Cited by 1,258
Self-citationArtificial intelligence for sustainability: Challenges, opportunities, and a research agenda
Nishant, R., Kennedy, M., & Corbett, J. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102104 · Cited by 1,203
Yigitcanlar, T., Desouza, K., Butler, L., & Roozkhosh, F. (2020) · Energies · doi:10.3390/en13061473 · Cited by 555
Bibri, S. E., Krogstie, J., Kaboli, A., & Alahi, A. (2024) · Environmental Science and Ecotechnology · doi:10.1016/j.ese.2023.100330 · Cited by 536
Barriers to smart waste management for a circular economy in China
Zhang, A., Venkatesh, V. G., Liu, Y., Wan, M., Qu, T., & Huisingh, D. (2019) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.118198 · Cited by 432
Metadata
- Authors
- Jha, S. K., Bilalovic, J., Jha, A., Patel, N., & Zhang, H.
- Venue
- Renewable and Sustainable Energy Reviews
- Publisher
- Elsevier BV
- Published
- 2017-09
- Volume
- 77
- Pages
- 297-317
- ISSN
- 1364-0321 (ISSN-L)
- OpenAlex
- W2606105023
- Cited by
- 369
- References
- 268
- FWCI
- 11.81
- Type
- journal article
- Language
- en
- Open access
- closed
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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- This page
- CoChat. (2026). Citation check: Renewable energy: Present research and future scope of Artificial Intelligence. https://app.cochat.ai/papers/10.1016/j.rser.2017.04.018
- The paper
- Jha, S. K., Bilalovic, J., Jha, A., Patel, N., & Zhang, H. (2017). Renewable energy: Present research and future scope of Artificial Intelligence. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2017.04.018
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.
