Ling Ai Wong
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Automotive Engineering top 10%
- Energy Engineering and Power Technology top 5%
- Environmental Engineering
- Co-authors
- Vigna K. RamachandaramurthySara WalkerPhil TaylorJanaka EkanayakeSanjeevikumar PadmanabanM. J. SanjariHussain ShareefAhmad Asrul Ibrahim
- Topics
- Microgrid Control and Optimization (10 papers)Optimal Power Flow Distribution (9 papers)Smart Grid Energy Management (6 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringAutomotive Engineering
- Partner nations
- MalaysiaUnited KingdomUnited Arab Emirates
In The Last Decade
Ling Ai Wong
18 papers receiving 550 citations
Peers
Comparison fields: 5 of 52
- Electrical and Electronic Engineering 460
- Control and Systems Engineering 355
- Automotive Engineering 114
- Energy Engineering and Power Technology 109
- Environmental Engineering 49
Countries citing papers authored by Ling Ai Wong
This map shows the geographic impact of Ling Ai 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 Ling Ai Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Ai Wong more than expected).
Fields of papers citing papers by Ling Ai Wong
This network shows the impact of papers produced by Ling Ai 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 Ling Ai Wong. The network helps show where Ling Ai Wong may publish in the future.
Co-authorship network of co-authors of Ling Ai Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Ling Ai Wong. A scholar is included among the top collaborators of Ling Ai 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 Ling Ai Wong. Ling Ai Wong 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 | 16 | |
| 4 | 1 | |
| 5 | 5 | |
| 6 | 43 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 30 | |
| 10 | 3 | |
| 11 | 50 | |
| 12 | 141 | |
| 13 | 228 | |
| 14 | 2 | |
| 15 | 11 | |
| 16 | 18 | |
| 17 | 19 | |
| 18 | 1 |
About Ling Ai Wong
Ling Ai Wong is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Automotive Engineering, having authored 18 papers that have together received 576 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (10 papers), Optimal Power Flow Distribution (9 papers) and Smart Grid Energy Management (6 papers). The work is most often cited by research in Energy Engineering and Power Technology (109 citations), Control and Systems Engineering (355 citations) and Automotive Engineering (114 citations). Ling Ai Wong has collaborated with scholars based in Malaysia, United Kingdom and United Arab Emirates. Frequent co-authors include Vigna K. Ramachandaramurthy, Sara Walker, Phil Taylor, Janaka Ekanayake, Sanjeevikumar Padmanaban, M. J. Sanjari, Hussain Shareef, Ahmad Asrul Ibrahim, Abdul Rahman Mohamed and Choon Kit Chan. Their work appears in journals such as Journal of Power Sources, IEEE Access and Journal of Energy Storage.
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.