Lijie Wang
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Aerospace Engineering
- Automotive Engineering
- Energy Engineering and Power Technology top 10%
- Co-authors
- Lei DongXiaozhong LiaoShuang GaoShahnawaz Farhan KhahroHao YingJun LiangLefeng ShiBo Wang
- Topics
- Energy Load and Power Forecasting (10 papers)Power Systems and Renewable Energy (6 papers)Integrated Energy Systems Optimization (3 papers)
- Cited by
- Energy Engineering and Power TechnologyElectrical and Electronic EngineeringAutomotive Engineering
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Lijie Wang
26 papers receiving 382 citations
Peers
Comparison fields: 5 of 74
- Electrical and Electronic Engineering 298
- Artificial Intelligence 109
- Aerospace Engineering 61
- Automotive Engineering 47
- Energy Engineering and Power Technology 39
Countries citing papers authored by Lijie Wang
This map shows the geographic impact of Lijie 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 Lijie Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lijie Wang more than expected).
Fields of papers citing papers by Lijie Wang
This network shows the impact of papers produced by Lijie 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 Lijie Wang. The network helps show where Lijie Wang may publish in the future.
Co-authorship network of co-authors of Lijie Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Lijie Wang. A scholar is included among the top collaborators of Lijie 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 Lijie Wang. Lijie 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 | 1 | |
| 2 | 9 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 7 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 19 | |
| 10 | 49 | |
| 11 | 41 | |
| 12 | 14 | |
| 13 | 2 | |
| 14 | 5 | |
| 15 | 11 | |
| 16 | 128 | |
| 17 | Wind Power Short-term Prediction Based on Principal Component Analysis of NWP of Multiple Locations | 4 |
| 18 | 2 | |
| 19 | Combined prediction of wind power generation in multi-dimension embedding phase space | 3 |
| 20 | Wind power forecasting for reduction of system reserve | 5 |
About Lijie Wang
Lijie Wang is a scholar working on Energy Engineering and Power Technology, Electrical and Electronic Engineering and Building and Construction, having authored 29 papers that have together received 401 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (10 papers), Power Systems and Renewable Energy (6 papers) and Integrated Energy Systems Optimization (3 papers). The work is most often cited by research in Energy Engineering and Power Technology (39 citations), Electrical and Electronic Engineering (298 citations) and Automotive Engineering (47 citations). Lijie Wang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Lei Dong, Xiaozhong Liao, Shuang Gao, Shahnawaz Farhan Khahro, Hao Ying, Jun Liang, Lefeng Shi, Bo Wang, Hao Bin Wu and Gary A. Campbell. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Langmuir and Energy.
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.