Keem Siah Yap
- Artificial Intelligence top 2%
- Machine Learning and ELM 23
- Neural Networks and Applications 22
- Fuzzy Logic and Control Systems 9
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- Energy Load and Power Forecasting 17
- Electric Power System Optimization 8
- Electricity Theft Detection Techniques 7
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- Water Systems and Optimization 6
- Environmental Engineering top 10%
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- Image and Signal Denoising Methods 6
- Co-authors
- Tiong Sieh KiongJawad NagiSyed Khaleel AhmedHwa Jen YapFarrukh NagiShen Yuong WongM. A. MalekÖzgür Kişi
- Cited by
- Control and Systems EngineeringArtificial IntelligenceElectrical and Electronic Engineering
- Journals
- Journal of Hydrology (1 paper)IEEE Access (4 papers)IEEE Transactions on Power Delivery (2 papers)
- Partner nations
- MalaysiaUnited StatesChina
In The Last Decade
Keem Siah Yap
65 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 98
- Control and Systems Engineering 472
- Artificial Intelligence 633
- Electrical and Electronic Engineering 1.0k
- Civil and Structural Engineering 351
- Environmental Engineering 151
Countries citing papers authored by Keem Siah Yap
This map shows the geographic impact of Keem Siah Yap's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Keem Siah Yap with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keem Siah Yap more than expected).
Fields of papers citing papers by Keem Siah Yap
This network shows the impact of papers produced by Keem Siah Yap. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Keem Siah Yap. The network helps show where Keem Siah Yap may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keem Siah Yap, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 2 | |
| 2 | 2019 | 3 | |
| 3 | 2018 | 1 | |
| 4 | 2018 | 0 | |
| 5 | 2018 | 1 | |
| 6 | 2016 | 2 | |
| 7 | 2015 | 5 | |
| 8 | 2015 | 210 | |
| 9 | 2014 | 6 | |
| 10 | 2013 | 5 | |
| 11 | Comparison of Supervised Learning Techniques for Non-Technical Loss Detection in Power Utility | 2012 | 11 |
| 12 | 2012 | 1 | |
| 13 | 2011 | 29 | |
| 14 | 2011 | 77 | |
| 15 | 2010 | 39 | |
| 16 | Short term power load forecasting using a modified generalized regression neural network | 2008 | 1 |
| 17 | 2008 | 33 | |
| 18 | 2008 | 4 | |
| 19 | 2008 | 105 | |
| 20 | A hybrid neural network for time series prediction | 2006 | 1 |
About Keem Siah Yap
Keem Siah Yap is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 66 papers that have together received 1.6k indexed citations. Recurring topics across this work include Machine Learning and ELM (23 papers), Neural Networks and Applications (22 papers), Energy Load and Power Forecasting (17 papers), Fuzzy Logic and Control Systems (9 papers), Electric Power System Optimization (8 papers), Electricity Theft Detection Techniques (7 papers), Image and Signal Denoising Methods (6 papers) and Water Systems and Optimization (6 papers). The work is most often cited by research in Control and Systems Engineering (472 citations), Artificial Intelligence (633 citations) and Electrical and Electronic Engineering (1.0k citations). Keem Siah Yap has collaborated with scholars based in Malaysia, United States and China. Frequent co-authors include Tiong Sieh Kiong, Jawad Nagi, Syed Khaleel Ahmed, Hwa Jen Yap, Farrukh Nagi, Shen Yuong Wong, Syed Khaleel Ahmed, M. A. Malek, Özgür Kişi and Chee Peng Lim. Their work appears in journals such as Journal of Hydrology, IEEE Access and IEEE Transactions on Power Delivery.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.