Jason Poon

1.6k citations
32 papers · 1.2k · h-index 14

Impact in

Papers in

Jason Poon

31 papers receiving 1.1k citations

Peers

Jason Poon
Comparison fields: 5 of 101
  • Control and Systems Engineering 504
  • Energy Engineering and Power Technology 58
  • Industrial and Manufacturing Engineering 165
  • Automotive Engineering 155
  • Electrical and Electronic Engineering 697
Replace Michael Schreiber with:
Michael Schreiber Germany
Mohammad Karimi Iran
L. Ashok Kumar India
Alireza Rezazadeh Iran
Kuo Yang China
Lachit Dutta India
Kamyar Mehran United Kingdom
Yixing Xu United States
Abd Kadir Mahamad Malaysia
Jason Poon relative to Michael Schreiber Germany Michael Schreiber's profile →
Citations per field
00.5×5.9×
Michael Schreiber · 1×
Citations per year

Countries citing papers authored by Jason Poon

Since Specialization
Citations

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

Fields of papers citing papers by Jason Poon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason Poon. 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 Jason Poon. The network helps show where Jason Poon may publish in the future.

Co-authors

The 25 scholars most cited alongside Jason Poon, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jason Poon Line = papers co-authored together Jason Poon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019314
2 2016197
3 2013110
4 2016101
5 201781
6 201253
7 201848
8 201229
9 201622
10 201720
11 201519
12 202014
13 201514
14 201714
15 201012
16 202311
17 201511
18 20219
19 20239
20 20189

About Jason Poon

Jason Poon is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Automotive Engineering, Renewable Energy, Sustainability and the Environment and Computational Theory and Mathematics, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (14 papers), Advanced DC-DC Converters (12 papers), Microgrid Control and Optimization (11 papers), Silicon Carbide Semiconductor Technologies (11 papers), Real-time simulation and control systems (8 papers), Photovoltaic System Optimization Techniques (5 papers), Advanced Battery Technologies Research (5 papers) and Radiation Effects in Electronics (3 papers). The work is most often cited by research in Control and Systems Engineering (504 citations), Energy Engineering and Power Technology (58 citations), Industrial and Manufacturing Engineering (165 citations), Automotive Engineering (155 citations) and Electrical and Electronic Engineering (697 citations). Jason Poon has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Seth R. Sanders, Costas J. Spanos, Sanjib Kumar Panda, Palak Jain, Jai Prakash Singh, Ioannis C. Konstantakopoulos, Ivan Čelanović, Sairaj V. Dhople, Javier Rosa and Matthew Podolsky. Their work appears in journals such as IEEE Transactions on Power Electronics, IEEE Transactions on Circuits and Systems I Regular Papers, Energies, Journal of Neuroscience and Applied Energy.

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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