Shaorong Wang
- Electrical and Electronic Engineering top 2%
- Control and Systems Engineering top 0.5%
- Energy Engineering and Power Technology top 0.2%
- Pollution top 2%
- Automotive Engineering top 2%
- Co-authors
- Mohamed R. ElkadeemZia UllahSwellam W. SharshirKotb M. KotbHabib Ur Rahman HabibJordan RadosavljevićYaowu WuYongcan Wang
- Topics
- Microgrid Control and Optimization (54 papers)Smart Grid Energy Management (32 papers)Optimal Power Flow Distribution (26 papers)
In The Last Decade
Shaorong Wang
143 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 108
- Electrical and Electronic Engineering 2.4k
- Control and Systems Engineering 1.2k
- Energy Engineering and Power Technology 928
- Pollution 544
- Automotive Engineering 367
Countries citing papers authored by Shaorong Wang
This map shows the geographic impact of Shaorong Wang'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 Shaorong Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaorong Wang more than expected).
Fields of papers citing papers by Shaorong Wang
This network shows the impact of papers produced by Shaorong Wang. 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 Shaorong Wang. The network helps show where Shaorong Wang may publish in the future.
Co-authorship network of co-authors of Shaorong Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Shaorong Wang. A scholar is included among the top collaborators of Shaorong Wang 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 Shaorong Wang. Shaorong Wang 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 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 36 | |
| 8 | 1 | |
| 9 | 21 | |
| 10 | 152 | |
| 11 | 11 | |
| 12 | 13 | |
| 13 | 17 | |
| 14 | 113 | |
| 15 | 42 | |
| 16 | Power output fluctuation suppression by hybrid energy storage system for intermittent source | 0 |
| 17 | Study on a new distributed power flow control method | 6 |
| 18 | Performance of UPFC integrated with SMES for power systems controlling | 4 |
| 19 | Research of HVDC transmission line traveling-wave fault location method based on wavelet modulus maxima theory | 3 |
| 20 | Forecasting market-clearing price in day-ahead market, using SOM-ANN | 10 |
About Shaorong Wang
Shaorong Wang is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 156 papers that have together received 3.3k indexed citations. Recurring topics across this work include Microgrid Control and Optimization (54 papers), Smart Grid Energy Management (32 papers) and Optimal Power Flow Distribution (26 papers). The work is most often cited by research in Energy Engineering and Power Technology (928 citations), Control and Systems Engineering (1.2k citations) and Pollution (544 citations). Shaorong Wang has collaborated with scholars based in China, Egypt and Pakistan. Frequent co-authors include Mohamed R. Elkadeem, Zia Ullah, Swellam W. Sharshir, Kotb M. Kotb, Habib Ur Rahman Habib, Jordan Radosavljević, Yaowu Wu, Yongcan Wang, Suhua Lou and Asad Waqar. Their work appears in journals such as Advanced Materials, Applied Physics Letters and Journal of The Electrochemical Society.
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.