Yee Wan Wong

42 total papers · 1.2k total citations
34 papers, 912 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 34 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Electrical and Electronic Engineering, 12 papers in Computer Vision and Pattern Recognition and 9 papers in Signal Processing. Recurrent topics in Yee Wan Wong's work include Microgrid Control and Optimization (7 papers), Face and Expression Recognition (7 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), Face and Expression Recognition (7 papers) and Energy Load and Power Forecasting (6 papers). Yee Wan Wong collaborates with scholars based in Malaysia, United Kingdom and Australia. Yee Wan Wong's co-authors include Rajprasad Kumar Rajkumar, Lee Wai Chong, Dino Isa, Kah Phooi Seng, Rajparthiban Kumar Rajkumar, Li-Minn Ang, Mumtaj Begam, Zhiyuan Chen, Ebrahim Jahanshiri and King Hann Lim 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

34 papers receiving 874 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Yee Wan Wong 483 407 261 161 135 34 912
Maryam A. Hejazi 850 1.8× 405 1.0× 209 0.8× 158 1.0× 67 0.5× 53 1.1k
Mohamed F. Elnaggar 720 1.5× 430 1.1× 101 0.4× 143 0.9× 69 0.5× 60 1.0k
Muhsin Tunay Gençoğlu 738 1.5× 276 0.7× 98 0.4× 73 0.5× 113 0.8× 47 1.2k
Rajprasad Kumar Rajkumar 494 1.0× 426 1.0× 281 1.1× 173 1.1× 67 0.5× 29 892
Aditya Sundararajan 691 1.4× 429 1.1× 212 0.8× 91 0.6× 171 1.3× 56 1.0k
Ahmad Eid 902 1.9× 527 1.3× 178 0.7× 141 0.9× 116 0.9× 77 1.1k
Tariq Kamal 467 1.0× 279 0.7× 172 0.7× 114 0.7× 96 0.7× 81 796
Wang Wei 921 1.9× 493 1.2× 190 0.7× 61 0.4× 110 0.8× 40 1.2k
M. A. Abdullah 822 1.7× 621 1.5× 137 0.5× 98 0.6× 69 0.5× 29 1.2k
Hossein Karami 972 2.0× 609 1.5× 134 0.5× 164 1.0× 61 0.5× 54 1.2k

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

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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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