Ning Yan
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Energy Engineering and Power Technology top 5%
- Automotive Engineering top 10%
- Mechanical Engineering
- Co-authors
- Xiangjun LiShaohua MaJosep M. GuerreroRui MaLijun WangGuohe HuangHuiru ZhaoWei Li
- Topics
- Microgrid Control and Optimization (15 papers)Electric Vehicles and Infrastructure (13 papers)Smart Grid Energy Management (13 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringElectrical and Electronic Engineering
- Partner nations
- ChinaDenmarkUnited States
In The Last Decade
Ning Yan
46 papers receiving 564 citations
Peers
Comparison fields: 5 of 48
- Electrical and Electronic Engineering 462
- Control and Systems Engineering 225
- Energy Engineering and Power Technology 115
- Automotive Engineering 82
- Mechanical Engineering 49
Countries citing papers authored by Ning Yan
This map shows the geographic impact of Ning Yan'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 Ning Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ning Yan more than expected).
Fields of papers citing papers by Ning Yan
This network shows the impact of papers produced by Ning Yan. 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 Ning Yan. The network helps show where Ning Yan may publish in the future.
Co-authorship network of co-authors of Ning Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Ning Yan. A scholar is included among the top collaborators of Ning Yan 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 Ning Yan. Ning Yan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 8 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 8 | |
| 7 | 5 | |
| 8 | 101 | |
| 9 | 93 | |
| 10 | 9 | |
| 11 | 7 | |
| 12 | 9 | |
| 13 | 12 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | 22 | |
| 17 | 58 | |
| 18 | 3 | |
| 19 | Pareto multi-objective distribution network reconfiguration based on improved niche genetic algorithm | 1 |
| 20 | Electric Load Modeling for Wide Area Power Systems | 5 |
About Ning Yan
Ning Yan is a scholar working on Energy Engineering and Power Technology, Automotive Engineering and Control and Systems Engineering, having authored 49 papers that have together received 588 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (15 papers), Electric Vehicles and Infrastructure (13 papers) and Smart Grid Energy Management (13 papers). The work is most often cited by research in Energy Engineering and Power Technology (115 citations), Control and Systems Engineering (225 citations) and Electrical and Electronic Engineering (462 citations). Ning Yan has collaborated with scholars based in China, Denmark and United States. Frequent co-authors include Xiangjun Li, Shaohua Ma, Josep M. Guerrero, Rui Ma, Lijun Wang, Guohe Huang, Huiru Zhao, Wei Li, Huan Wang and Ping Ju. Their work appears in journals such as Energy Conversion and Management, Energies and IEEE Transactions on Sustainable 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.