Kok‐Keong Chong
- Renewable Energy, Sustainability and the Environment top 1%
- Electrical and Electronic Engineering top 5%
- Artificial Intelligence top 2%
- Civil and Structural Engineering top 5%
- Materials Chemistry
- Co-authors
- Chee‐Woon WongMing‐Hui TanBoon-Han LimTiong‐Keat YewTonni Agustiono KurniawanMohd Hafiz Dzarfan OthmanHui Hwang GohCheng Siong Lim
- Topics
- solar cell performance optimization (52 papers)Solar Thermal and Photovoltaic Systems (52 papers)Photovoltaic System Optimization Techniques (38 papers)
In The Last Decade
Kok‐Keong Chong
92 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Renewable Energy, Sustainability and the Environment 1.4k
- Electrical and Electronic Engineering 1.0k
- Artificial Intelligence 475
- Civil and Structural Engineering 271
- Materials Chemistry 250
Countries citing papers authored by Kok‐Keong Chong
This map shows the geographic impact of Kok‐Keong Chong'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 Kok‐Keong Chong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kok‐Keong Chong more than expected).
Fields of papers citing papers by Kok‐Keong Chong
This network shows the impact of papers produced by Kok‐Keong Chong. 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 Kok‐Keong Chong. The network helps show where Kok‐Keong Chong may publish in the future.
Co-authorship network of co-authors of Kok‐Keong Chong
This figure shows the co-authorship network connecting the top 25 collaborators of Kok‐Keong Chong. A scholar is included among the top collaborators of Kok‐Keong Chong 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 Kok‐Keong Chong. Kok‐Keong Chong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 54 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 9 | |
| 9 | 14 | |
| 10 | 18 | |
| 11 | 13 | |
| 12 | 14 | |
| 13 | 5 | |
| 14 | 4 | |
| 15 | 110 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 7 | |
| 19 | 19 | |
| 20 | 17 |
About Kok‐Keong Chong
Kok‐Keong Chong is a scholar working on Renewable Energy, Sustainability and the Environment, Electrical and Electronic Engineering and Artificial Intelligence, having authored 98 papers that have together received 2.2k indexed citations. Recurring topics across this work include solar cell performance optimization (52 papers), Solar Thermal and Photovoltaic Systems (52 papers) and Photovoltaic System Optimization Techniques (38 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (1.4k citations), Electrical and Electronic Engineering (1.0k citations) and Artificial Intelligence (475 citations). Kok‐Keong Chong has collaborated with scholars based in Malaysia, China and Pakistan. Frequent co-authors include Chee‐Woon Wong, Ming‐Hui Tan, Boon-Han Lim, Tiong‐Keat Yew, Tonni Agustiono Kurniawan, Mohd Hafiz Dzarfan Othman, Hui Hwang Goh, Cheng Siong Lim, Xue Liang and Kit Wayne Chew. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Applied Energy and Optics Letters.
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.