Anjun Su
Impact in
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- Power System Reliability and Maintenance
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- Electric Power System Optimization
- Optimal Power Flow Distribution
- Smart Grid Energy Management
- Energy Load and Power Forecasting
Papers in
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- Electric Power System Optimization 6
- Optimal Power Flow Distribution 5
- Smart Grid Energy Management 3
- Energy Load and Power Forecasting 3
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- GaN-based semiconductor devices and materials 2
- Co-authors
- Hao Nie (5 shared papers)Xiaohui Yuan (6 shared papers)Yanbin Yuan (5 shared papers)Liang Wang (2 shared papers)Liang Wang (1 shared paper)Yunyan Wang (1 shared paper)Yang Li (1 shared paper)Qun Yan (2 shared papers)
- Journals
- Energy Conversion and Management (2 papers)IEEE Transactions on Electron Devices (1 paper)Soft Computing (1 paper)Journal of Hydroinformatics (1 paper)Expert Systems with Applications (1 paper)
- Partner nations
- China
In The Last Decade
Anjun Su
9 papers receiving 379 citations
Peers
Comparison fields: 5 of 42
- Safety, Risk, Reliability and Quality 55
- Electrical and Electronic Engineering 290
- Industrial and Manufacturing Engineering 30
- Energy Engineering and Power Technology 9
- Artificial Intelligence 83
Countries citing papers authored by Anjun Su
This map shows the geographic impact of Anjun Su'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 Anjun Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anjun Su more than expected).
Fields of papers citing papers by Anjun Su
This network shows the impact of papers produced by Anjun Su. 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 Anjun Su. The network helps show where Anjun Su may publish in the future.
Co-authors
The 22 scholars most cited alongside Anjun Su, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 171 | |
| 2 | 2009 | 96 | |
| 3 | 2010 | 54 | |
| 4 | 2010 | 38 | |
| 5 | 2008 | 15 | |
| 6 | 2008 | 10 | |
| 7 | 2023 | 7 | |
| 8 | 2008 | 6 | |
| 9 | 2022 | 1 |
About Anjun Su
Anjun Su is a scholar working on Electrical and Electronic Engineering, Condensed Matter Physics, Artificial Intelligence, Materials Chemistry and Electronic, Optical and Magnetic Materials, having authored 9 papers that have together received 398 indexed citations. Recurring topics across this work include Electric Power System Optimization (6 papers), Optimal Power Flow Distribution (5 papers), Smart Grid Energy Management (3 papers), Energy Load and Power Forecasting (3 papers), ZnO doping and properties (2 papers), GaN-based semiconductor devices and materials (2 papers), Metaheuristic Optimization Algorithms Research (2 papers) and Ga2O3 and related materials (1 paper). The work is most often cited by research in Safety, Risk, Reliability and Quality (55 citations), Electrical and Electronic Engineering (290 citations), Industrial and Manufacturing Engineering (30 citations), Energy Engineering and Power Technology (9 citations) and Artificial Intelligence (83 citations). Anjun Su has collaborated with scholars based in China. Frequent co-authors include Hao Nie, Xiaohui Yuan, Yanbin Yuan, Liang Wang, Liang Wang, Yunyan Wang, Liang Wang, Yang Li, Qun Yan and Kaixin Zhang. Their work appears in journals such as Energy Conversion and Management, IEEE Transactions on Electron Devices, Soft Computing, Journal of Hydroinformatics and Expert Systems with Applications.
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.