Di Shi
- Electrical and Electronic Engineering top 1%
- Control and Systems Engineering top 0.5%
- Automotive Engineering top 2%
- Artificial Intelligence top 5%
- Safety, Risk, Reliability and Quality top 2%
- Topics
- Optimal Power Flow Distribution (57 papers)Power System Optimization and Stability (57 papers)Microgrid Control and Optimization (54 papers)
- Cited by
- Control and Systems EngineeringEnergy Engineering and Power TechnologyElectrical and Electronic Engineering
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyPLoS ONE
- Partner nations
- United StatesChinaDenmark
In The Last Decade
Di Shi
175 papers receiving 4.3k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Electrical and Electronic Engineering 3.3k
- Control and Systems Engineering 2.2k
- Automotive Engineering 325
- Artificial Intelligence 284
- Safety, Risk, Reliability and Quality 227
Countries citing papers authored by Di Shi
This map shows the geographic impact of Di Shi'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 Di Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Di Shi more than expected).
Fields of papers citing papers by Di Shi
This network shows the impact of papers produced by Di Shi. 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 Di Shi. The network helps show where Di Shi may publish in the future.
Co-authorship network of co-authors of Di Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Di Shi. A scholar is included among the top collaborators of Di Shi 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 Di Shi. Di Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 16 | |
| 3 | 15 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 51 | |
| 8 | 51 | |
| 9 | 209 | |
| 10 | 21 | |
| 11 | 35 | |
| 12 | 40 | |
| 13 | 12 | |
| 14 | Deep-Reinforcement-Learning-Based Autonomous Voltage Control for Power Grid Operationsbreakdown → | 296 |
| 15 | 10 | |
| 16 | 37 | |
| 17 | 4 | |
| 18 | Resilient microgrid management solution | 1 |
| 19 | 5 | |
| 20 | 2 |
About Di Shi
Di Shi is a scholar working on Control and Systems Engineering, Computational Mathematics and Electrical and Electronic Engineering, having authored 182 papers that have together received 4.4k indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (57 papers), Power System Optimization and Stability (57 papers) and Microgrid Control and Optimization (54 papers). The work is most often cited by research in Control and Systems Engineering (2.2k citations), Energy Engineering and Power Technology (181 citations) and Electrical and Electronic Engineering (3.3k citations). Di Shi has collaborated with scholars based in United States, China and Denmark. Frequent co-authors include Zhiwei Wang, Jiajun Duan, Ruisheng Diao, Zhehan Yi, Daniel Tylavsky, Zhe Yu, Desong Bian, Xiaohu Zhang, Naim Logic and Yishen Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.
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.