Han-I Su
Impact in
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- Power Systems and Renewable Energy
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- Electric Power System Optimization
- Smart Grid Energy Management
- Integrated Energy Systems Optimization
- Optimal Power Flow Distribution
Papers in
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- Cooperative Communication and Network Coding 4
- Distributed Control Multi-Agent Systems 3
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- Power Systems and Renewable Energy 2
- Co-authors
- Abbas El Gamal (7 shared papers)Paul Cuff (1 shared paper)Junjie Qin (1 shared paper)Ram Rajagopal (1 shared paper)Palghat P. Vaidyanathan (1 shared paper)
- Journals
- IEEE Transactions on Power Systems (1 paper)IEEE Transactions on Information Theory (1 paper)IEEE Signal Processing Letters (1 paper)Allerton Conference on Communication, Control, and Computing (1 paper)IEEE International Symposium on Information Theory (ISIT) (3 papers)
- Partner nations
- United States
In The Last Decade
Han-I Su
9 papers receiving 288 citations
Peers
Comparison fields: 5 of 23
- Energy Engineering and Power Technology 36
- Electrical and Electronic Engineering 199
- Computer Networks and Communications 69
- Control and Systems Engineering 24
- Computer Vision and Pattern Recognition 15
Countries citing papers authored by Han-I Su
This map shows the geographic impact of Han-I 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 Han-I Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han-I Su more than expected).
Fields of papers citing papers by Han-I Su
This network shows the impact of papers produced by Han-I 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 Han-I Su. The network helps show where Han-I Su may publish in the future.
Co-authors
The 5 scholars most cited alongside Han-I 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 | 2013 | 123 | |
| 2 | 2011 | 75 | |
| 3 | 2009 | 43 | |
| 4 | 2013 | 23 | |
| 5 | 2010 | 13 | |
| 6 | 2010 | 8 | |
| 7 | 2009 | 5 | |
| 8 | 2009 | 2 | |
| 9 | 2010 | 1 |
About Han-I Su
Han-I Su is a scholar working on Computer Networks and Communications, Energy Engineering and Power Technology, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Nuclear Energy and Engineering, having authored 9 papers that have together received 293 indexed citations. Recurring topics across this work include Cooperative Communication and Network Coding (4 papers), Distributed Control Multi-Agent Systems (3 papers), Electric Power System Optimization (3 papers), Power Systems and Renewable Energy (2 papers), Advanced Data Compression Techniques (1 paper) and Integrated Energy Systems Optimization (1 paper). The work is most often cited by research in Energy Engineering and Power Technology (36 citations), Electrical and Electronic Engineering (199 citations), Computer Networks and Communications (69 citations), Control and Systems Engineering (24 citations) and Computer Vision and Pattern Recognition (15 citations). Han-I Su has collaborated with scholars based in United States. Frequent co-authors include Abbas El Gamal, Paul Cuff, Junjie Qin, Ram Rajagopal and Palghat P. Vaidyanathan. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Information Theory, IEEE Signal Processing Letters, Allerton Conference on Communication, Control, and Computing and IEEE International Symposium on Information Theory (ISIT).
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.