Li Han
Impact in
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- Power Systems and Renewable Energy
-
- Energy Load and Power Forecasting
- Electric Power System Optimization
- Electric Motor Design and Analysis
- Integrated Energy Systems Optimization
Papers in
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- Energy Load and Power Forecasting 13
- Electric Motor Design and Analysis 11
- Electric Power System Optimization 9
- Smart Grid and Power Systems 5
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- Magnetic Bearings and Levitation Dynamics 8
- Machine Fault Diagnosis Techniques 5
- Co-authors
- Rongchang Zhang (4 shared papers)Carlos E. Romero (3 shared papers)Zheng Yao (2 shared papers)Xuesong Wang (3 shared papers)Jianlin Ren (1 shared paper)Xiangfei Kong (1 shared paper)Man Fan (1 shared paper)Lu Wang (1 shared paper)
- Journals
- Energy (4 papers)IET Renewable Power Generation (3 papers)IEEE Access (2 papers)Journal of Alloys and Compounds (2 papers)Nano Research (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Li Han
59 papers receiving 974 citations
Peers
Comparison fields: 5 of 103
- Energy Engineering and Power Technology 95
- Electrical and Electronic Engineering 612
- Control and Systems Engineering 219
- Renewable Energy, Sustainability and the Environment 122
- Artificial Intelligence 150
Countries citing papers authored by Li Han
This map shows the geographic impact of Li Han'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 Li Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Han more than expected).
Fields of papers citing papers by Li Han
This network shows the impact of papers produced by Li Han. 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 Li Han. The network helps show where Li Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Han, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 134 | |
| 2 | 2019 | 117 | |
| 3 | 2021 | 90 | |
| 4 | 2015 | 72 | |
| 5 | 2020 | 51 | |
| 6 | 2020 | 46 | |
| 7 | 2019 | 39 | |
| 8 | 2018 | 37 | |
| 9 | 2015 | 36 | |
| 10 | 2024 | 28 | |
| 11 | 2022 | 28 | |
| 12 | 2018 | 22 | |
| 13 | 2012 | 21 | |
| 14 | 2019 | 20 | |
| 15 | 2013 | 19 | |
| 16 | 2019 | 17 | |
| 17 | 2018 | 15 | |
| 18 | 2018 | 14 | |
| 19 | 2014 | 14 | |
| 20 | 2018 | 13 |
About Li Han
Li Han is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Mechanical Engineering, Energy Engineering and Power Technology and Electronic, Optical and Magnetic Materials, having authored 66 papers that have together received 1.0k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (13 papers), Electric Motor Design and Analysis (11 papers), Power Systems and Renewable Energy (10 papers), Electric Power System Optimization (9 papers), Magnetic Bearings and Levitation Dynamics (8 papers), Magnetic Properties and Applications (7 papers), Smart Grid and Power Systems (5 papers) and Machine Fault Diagnosis Techniques (5 papers). The work is most often cited by research in Energy Engineering and Power Technology (95 citations), Electrical and Electronic Engineering (612 citations), Control and Systems Engineering (219 citations), Renewable Energy, Sustainability and the Environment (122 citations) and Artificial Intelligence (150 citations). Li Han has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Rongchang Zhang, Carlos E. Romero, Zheng Yao, Xuesong Wang, Jianlin Ren, Xiangfei Kong, Man Fan, Lu Wang, Zhenyu Zhang and Yong Liao. Their work appears in journals such as Energy, IET Renewable Power Generation, IEEE Access, Journal of Alloys and Compounds and Nano Research.
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.