The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia
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Citations
Cites
Neural Networks: A Comprehensive Foundation
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Pattern Recognition and Neural Networks
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Radial Basis Functions, Multi-Variable Functional Interpolation and Adaptive Networks
Broomhead, D. S., & Lowe, D. (1988) · OpenGrey (Institut de l'Information Scientifique et Technique) · Cited by 3,443
Maier, H. R., & Dandy, G. C. (2000) · Environmental Modelling & Software · doi:10.1016/s1364-8152(99)00007-9 · Cited by 2,377
Artificial neural networks as a tool in ecological modelling, an introduction
Lek, S., & Guégan, J. F. (1999) · Ecological Modelling · doi:10.1016/s0304-3800(99)00092-7 · Cited by 889
Artificial neural network modeling of the river water quality—A case study
Singh, K. P., Basant, A., Malik, A., & Jain, G. (2009) · Ecological Modelling · doi:10.1016/j.ecolmodel.2009.01.004 · Cited by 661
An ANN application for water quality forecasting
Palani, S., Liong, S.-Y., & Tkalich, P. (2008) · Marine Pollution Bulletin · doi:10.1016/j.marpolbul.2008.05.021 · Cited by 525
Neural Networks for Pattern Recognition.
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Overview of case studies on recovery of aquatic systems from disturbance
Niemi, G. J., DeVore, P., Detenbeck, N., Taylor, D., Lima, A., Pastor, J., Yount, J. D., & Naiman, R. J. (1990) · Environmental Management · doi:10.1007/bf02394710 · Cited by 417
Cited by
A survey on river water quality modelling using artificial intelligence models: 2000–2020
Tiyasha, Tung, T. M., & Yaseen, Z. M. (2020) · Journal of Hydrology · doi:10.1016/j.jhydrol.2020.124670 · Cited by 650
Self-citationWastewater treatment plant performance analysis using artificial intelligence – an ensemble approach
Nourani, V., Elkiran, G., & Abba, S. I. (2018) · Water Science and Technology · doi:10.2166/wst.2018.477 · Cited by 282
Shivaprakash, K. N., Swami, N., Mysorekar, S., Arora, R., Gangadharan, A., Vohra, K., Jadeyegowda, M., & Kiesecker, J. M. (2022) · Sustainability · doi:10.3390/su14127154 · Cited by 194
Hossain, S. M. Z., Sultana, N., Razzak, S. A., & Hossain, M. M. (2022) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2021.112016 · Cited by 75
Chhipi-Shrestha, G., Mian, H. R., Mohammadiun, S., Rodriguez, M., Hewage, K., & Sadiq, R. (2023) · Clean Technologies and Environmental Policy · doi:10.1007/s10098-023-02477-4 · Cited by 46
Metadata
- Authors
- Hameed, M., Sharqi, S. S., Yaseen, Z. M., Afan, H. A., Hussain, A., & Elshafie, A.
- Venue
- Neural Computing and Applications
- Published
- 2016-06-08
- Volume
- 28
- Issue
- S1
- Pages
- 893-905
- ISSN
- 0941-0643 (ISSN-L)
- 1433-3058
- OpenAlex
- W2413338433
- Cited by
- 257
- References
- 30
- FWCI
- 5.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia. https://app.cochat.ai/papers/10.1007/s00521-016-2404-7
- The paper
- Hameed, M., Sharqi, S. S., Yaseen, Z. M., Afan, H. A., Hussain, A., & Elshafie, A. (2017). Application of artificial intelligence (AI) techniques in water quality index prediction: a case study in tropical region, Malaysia. Neural Computing and Applications. https://doi.org/10.1007/s00521-016-2404-7
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.
