Chee‐Woon Wong

39 total papers · 890 total citations
33 papers, 698 citations indexed

About

Chee‐Woon Wong is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Chee‐Woon Wong has authored 33 papers receiving a total of 698 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Renewable Energy, Sustainability and the Environment, 20 papers in Electrical and Electronic Engineering and 7 papers in Artificial Intelligence. Recurrent topics in Chee‐Woon Wong's work include Solar Thermal and Photovoltaic Systems (25 papers), solar cell performance optimization (19 papers) and Photovoltaic System Optimization Techniques (17 papers). Chee‐Woon Wong is often cited by papers focused on Solar Thermal and Photovoltaic Systems (25 papers), solar cell performance optimization (19 papers) and Photovoltaic System Optimization Techniques (17 papers). Chee‐Woon Wong collaborates with scholars based in Malaysia, United Kingdom and United States. Chee‐Woon Wong's co-authors include Kok‐Keong Chong, Ming‐Hui Tan, Tiong‐Keat Yew, Saffa Riffat, Boon-Han Lim, An-Chow Lai, Yun Seng Lim, Faidz Abd Rahman and A. Akbarzadeh and has published in prestigious journals such as Applied Energy, Optics Express and Renewable Energy.

In The Last Decade

Chee‐Woon Wong

32 papers receiving 679 citations

Author Peers

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

Author						Papers	Cites
Chee‐Woon Wong	543	356	224	96	74	33	698
A. Barbón	455 0.8×	190 0.5×	268 1.2×	57 0.6×	74 1.0×	44	606
Boon-Han Lim	472 0.9×	380 1.1×	201 0.9×	54 0.6×	32 0.4×	47	669
Shima Hajimirza	263 0.5×	408 1.1×	295 1.3×	56 0.6×	40 0.5×	45	700
Martin Libra	465 0.9×	373 1.0×	248 1.1×	33 0.3×	57 0.8×	33	768
H. Tabor	559 1.0×	131 0.4×	146 0.7×	35 0.4×	183 2.5×	26	721
W. Durisch	263 0.5×	328 0.9×	105 0.5×	317 3.3×	77 1.0×	33	756
Roberto Grena	486 0.9×	154 0.4×	245 1.1×	19 0.2×	202 2.7×	31	772
Xiudong Wei	610 1.1×	213 0.6×	250 1.1×	37 0.4×	211 2.9×	19	710
Paulo Canhoto	373 0.7×	174 0.5×	298 1.3×	26 0.3×	190 2.6×	35	671
Naum Fraidenraich	562 1.0×	251 0.7×	367 1.6×	15 0.2×	92 1.2×	53	792

Countries citing papers authored by Chee‐Woon Wong

Since Specialization

Citations

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

Fields of papers citing papers by Chee‐Woon Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee‐Woon 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 Chee‐Woon Wong. The network helps show where Chee‐Woon Wong may publish in the future.

Co-authorship network of co-authors of Chee‐Woon Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Chee‐Woon Wong. A scholar is included among the top collaborators of Chee‐Woon 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 Chee‐Woon Wong. Chee‐Woon 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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