Yee Wan Wong

1.2k total citations
33 papers, 917 citations indexed

About

Yee Wan Wong is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Yee Wan Wong has authored 33 papers receiving a total of 917 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Signal Processing. Recurrent topics in Yee Wan Wong's work include Microgrid Control and Optimization (7 papers), Photovoltaic System Optimization Techniques (6 papers) and Energy Load and Power Forecasting (6 papers). Yee Wan Wong is often cited by papers focused on Microgrid Control and Optimization (7 papers), Photovoltaic System Optimization Techniques (6 papers) and Energy Load and Power Forecasting (6 papers). Yee Wan Wong collaborates with scholars based in Malaysia, Australia and United Kingdom. Yee Wan Wong's co-authors include Rajprasad Kumar Rajkumar, Lee Wai Chong, Dino Isa, Rajparthiban Kumar Rajkumar, Li-Minn Ang, Kah Phooi Seng, Mumtaj Begam, Zhiyuan Chen, Le Dinh Van Khoa and Ebrahim Jahanshiri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Power Sources.

In The Last Decade

Yee Wan Wong

33 papers receiving 877 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yee Wan Wong Malaysia 14 487 407 264 162 137 33 917
Tariq Kamal Pakistan 18 469 1.0× 282 0.7× 172 0.7× 114 0.7× 96 0.7× 81 802
R. K. Saket India 21 908 1.9× 508 1.2× 144 0.5× 117 0.7× 98 0.7× 114 1.3k
M. A. Abdullah Malaysia 13 826 1.7× 623 1.5× 138 0.5× 97 0.6× 69 0.5× 29 1.2k
Lukáš Prokop Czechia 23 1.1k 2.3× 508 1.2× 427 1.6× 118 0.7× 157 1.1× 150 1.5k
Asheesh Kumar Singh India 19 1.3k 2.6× 595 1.5× 347 1.3× 74 0.5× 92 0.7× 143 1.6k
Rahul Sharma Australia 20 897 1.8× 592 1.5× 391 1.5× 77 0.5× 100 0.7× 108 1.3k
Seydali Ferahtia Algeria 19 665 1.4× 363 0.9× 318 1.2× 142 0.9× 155 1.1× 34 925
Abdelkader Mami Tunisia 18 529 1.1× 369 0.9× 177 0.7× 185 1.1× 200 1.5× 207 1.4k
Mario Vašak Croatia 20 681 1.4× 769 1.9× 209 0.8× 40 0.2× 147 1.1× 118 1.4k

Countries citing papers authored by Yee Wan Wong

Since Specialization
Citations

This map shows the geographic impact of Yee Wan Wong'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 Yee Wan Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yee Wan Wong more than expected).

Fields of papers citing papers by Yee Wan Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yee Wan Wong. 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 Yee Wan Wong. The network helps show where Yee Wan Wong may publish in the future.

Co-authorship network of co-authors of Yee Wan Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Yee Wan Wong. A scholar is included among the top collaborators of Yee Wan Wong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yee Wan Wong. Yee Wan Wong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Begam, Mumtaj, et al.. (2022). A novel dynamic two-stage controller of battery energy storage system for maximum demand reductions. Energy. 248. 123550–123550. 4 indexed citations
2.
Tan, Michelle T.T., et al.. (2022). Hardware implementation of an active learning self-organizing neural network to predict the power fluctuation events of a photovoltaic grid-tied system. Microprocessors and Microsystems. 90. 104448–104448. 4 indexed citations
3.
Begam, Mumtaj, et al.. (2021). An improved self-organizing incremental neural network model for short-term time-series load prediction. Applied Energy. 292. 116912–116912. 15 indexed citations
4.
Wong, Yee Wan, et al.. (2021). Dynamic sampling of images from various categories for classification based incremental deep learning in fog computing. PeerJ Computer Science. 7. e633–e633. 1 indexed citations
5.
Chong, Lee Wai, et al.. (2020). A regression unsupervised incremental learning algorithm for solar irradiance prediction. Renewable Energy. 164. 908–925. 46 indexed citations
6.
Wong, Yee Wan, et al.. (2019). An incremental unsupervised learning based trajectory controller for a 4 wheeled skid steer mobile robot. Engineering Applications of Artificial Intelligence. 85. 385–392. 17 indexed citations
7.
Ijemaru, Gerald K., et al.. (2019). A low-complexity DWT module and CRS minimal instruction set computer architecture for wireless visual sensor networks. International Journal of Ad Hoc and Ubiquitous Computing. 30(2). 73–73. 2 indexed citations
8.
Chen, Zhiyuan, et al.. (2019). An economic feasibility assessment framework for underutilised crops using Support Vector Machine. Computers and Electronics in Agriculture. 168. 105116–105116. 10 indexed citations
9.
Rajkumar, Rajparthiban Kumar, et al.. (2018). A LabVIEW-based Real-Time GUI for Switched Controlled Energy Harvesting Circuit for Low Voltage Application. IETE Journal of Research. 66(5). 720–730. 8 indexed citations
10.
Wong, Yee Wan, et al.. (2018). An intelligent real-time power management system with active learning prediction engine for PV grid-tied systems. Journal of Cleaner Production. 205. 252–265. 13 indexed citations
11.
Chong, Lee Wai, et al.. (2018). One-Hour Ahead Prediction of Solar Irradiance Using Support Vector Machines. 1–4. 3 indexed citations
12.
Wong, Yee Wan, et al.. (2017). A NEW STATE-OF-CHARGE ESTIMATION METHOD FOR VALVE REGULATED LEAD ACID BATTERIES. SHILAP Revista de lepidopterología. 5 indexed citations
13.
Chong, Lee Wai, et al.. (2017). Load prediction using support vector regression. 1069–1074. 15 indexed citations
14.
Chong, Lee Wai, Yee Wan Wong, Rajprasad Kumar Rajkumar, & Dino Isa. (2016). An optimal control strategy for standalone PV system with Battery-Supercapacitor Hybrid Energy Storage System. Journal of Power Sources. 331. 553–565. 148 indexed citations
15.
Wong, Yee Wan, et al.. (2016). A novel tree trunk detection method for oil-palm plantation navigation. Computers and Electronics in Agriculture. 128. 172–180. 36 indexed citations
16.
Wong, Yee Wan, et al.. (2015). Power Quality Analysis for PV Grid Connected System Using PSCAD/EMTDC. International Journal of Renewable Energy Research. 5(1). 121–132. 27 indexed citations
17.
Wong, Yee Wan, et al.. (2015). A review on performance of artificial intelligence and conventional method in mitigating PV grid-tied related power quality events. Renewable and Sustainable Energy Reviews. 56. 334–346. 114 indexed citations
18.
Wong, Yee Wan, Kah Phooi Seng, & Li-Minn Ang. (2011). Radial Basis Function Neural Network With Incremental Learning for Face Recognition. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 41(4). 940–949. 50 indexed citations
19.
Wong, Yee Wan, Kah Phooi Seng, & Li-Minn Ang. (2009). Audio-visual recognition system insusceptible to illumination variation over internet protocol. 36(2). 5 indexed citations
20.
Seng, Kah Phooi, et al.. (2007). New Parallel Models for Face Recognition. 4224. 306–309. 34 indexed citations

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.

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