Kit Po Wong
- Electrical and Electronic Engineering top 0.1%
- Control and Systems Engineering top 0.1%
- Artificial Intelligence top 1%
- Safety, Risk, Reliability and Quality top 0.1%
- Energy Engineering and Power Technology top 0.2%
- Topics
- Optimal Power Flow Distribution (87 papers)Electric Power System Optimization (86 papers)Power System Optimization and Stability (65 papers)
In The Last Decade
Kit Po Wong
236 papers receiving 12.1k citations
Hit Papers
Peers
Comparison fields: 5 of 130
- Electrical and Electronic Engineering 11.4k
- Control and Systems Engineering 4.8k
- Artificial Intelligence 1.3k
- Safety, Risk, Reliability and Quality 1.3k
- Energy Engineering and Power Technology 883
Countries citing papers authored by Kit Po Wong
This map shows the geographic impact of Kit Po 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 Kit Po Wong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kit Po Wong more than expected).
Fields of papers citing papers by Kit Po Wong
This network shows the impact of papers produced by Kit Po 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 Kit Po Wong. The network helps show where Kit Po Wong may publish in the future.
Co-authorship network of co-authors of Kit Po Wong
This figure shows the co-authorship network connecting the top 25 collaborators of Kit Po Wong. A scholar is included among the top collaborators of Kit Po 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 Kit Po Wong. Kit Po 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 | 8 | |
| 2 | 2 | |
| 3 | 50 | |
| 4 | 193 | |
| 5 | 37 | |
| 6 | 42 | |
| 7 | 93 | |
| 8 | 10 | |
| 9 | 5 | |
| 10 | 4 | |
| 11 | 29 | |
| 12 | 4 | |
| 13 | 12 | |
| 14 | 14 | |
| 15 | Evolutionary Programming based method for evaluation of power flow | 2 |
| 16 | Short-term hydrothermal scheduling with reservoir volume constraints. I. Simulated annealing approach | 7 |
| 17 | Artificial intelligence and neural network applications in power systems | 17 |
| 18 | Neural network transient stability assessment of a single-machine system under asymmetrical fault conditions | 0 |
| 19 | An algorithm for load shedding and restoration during reduced generation periods | 1 |
| 20 | 3 |
About Kit Po Wong
Kit Po Wong is a scholar working on Energy Engineering and Power Technology, Electrical and Electronic Engineering and Control and Systems Engineering, having authored 239 papers that have together received 12.7k indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (87 papers), Electric Power System Optimization (86 papers) and Power System Optimization and Stability (65 papers). The work is most often cited by research in Energy Engineering and Power Technology (883 citations), Control and Systems Engineering (4.8k citations) and Electrical and Electronic Engineering (11.4k citations). Kit Po Wong has collaborated with scholars based in Australia, Hong Kong and China. Frequent co-authors include Zhao Yang Dong, Zhao Xu, Yan Xu, Ke Meng, C. Y. Chung, J. Yuryevich, Can Wan, Pierre Pinson, Zhaoyang Dong and Lihui Yang. Their work appears in journals such as Renewable and Sustainable Energy Reviews, IEEE Transactions on Power Systems and Renewable 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.