Peng Wen
- Electrical and Electronic Engineering
- Artificial Intelligence
- Control and Systems Engineering
- Materials Chemistry
- Electronic, Optical and Magnetic Materials
- Co-authors
- Limin HuoErzhou ZhuFeng LiuSaeid Gholami FarkoushYongsheng YanHongming YuanShouhua FengYuan Lin
- Topics
- Energy Load and Power Forecasting (5 papers)Smart Grid and Power Systems (5 papers)Microgrid Control and Optimization (4 papers)
- Cited by
- Energy Engineering and Power TechnologyElectrical and Electronic EngineeringControl and Systems Engineering
- Partner nations
- ChinaSlovakiaSouth Korea
In The Last Decade
Peng Wen
43 papers receiving 348 citations
Peers
Comparison fields: 5 of 87
- Electrical and Electronic Engineering 201
- Artificial Intelligence 60
- Control and Systems Engineering 49
- Materials Chemistry 42
- Electronic, Optical and Magnetic Materials 35
Countries citing papers authored by Peng Wen
This map shows the geographic impact of Peng Wen'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 Peng Wen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peng Wen more than expected).
Fields of papers citing papers by Peng Wen
This network shows the impact of papers produced by Peng Wen. 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 Peng Wen. The network helps show where Peng Wen may publish in the future.
Co-authorship network of co-authors of Peng Wen
This figure shows the co-authorship network connecting the top 25 collaborators of Peng Wen. A scholar is included among the top collaborators of Peng Wen 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 Peng Wen. Peng Wen 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 | 4 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 38 | |
| 7 | 10 | |
| 8 | 33 | |
| 9 | 17 | |
| 10 | 4 | |
| 11 | 0 | |
| 12 | 1 | |
| 13 | Short-term Wind Power Forecasting Algorithm Based on Similar Time Periods Clustering | 1 |
| 14 | 2 | |
| 15 | 1 | |
| 16 | 3 | |
| 17 | 23 | |
| 18 | Production of Changjiang ENC source data using CARIS HPD | 0 |
| 19 | A quick model for guillotine rectangle cutting problem | 1 |
| 20 | 10 |
About Peng Wen
Peng Wen is a scholar working on Energy Engineering and Power Technology, Computer Graphics and Computer-Aided Design and Electrical and Electronic Engineering, having authored 48 papers that have together received 364 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (5 papers), Smart Grid and Power Systems (5 papers) and Microgrid Control and Optimization (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (30 citations), Electrical and Electronic Engineering (201 citations) and Control and Systems Engineering (49 citations). Peng Wen has collaborated with scholars based in China, Slovakia and South Korea. Frequent co-authors include Limin Huo, Erzhou Zhu, Feng Liu, Saeid Gholami Farkoush, Yongsheng Yan, Hongming Yuan, Shouhua Feng, Yuan Lin, Li Guo and Tao Wang. Their work appears in journals such as Journal of Applied Physics, Journal of Cleaner Production and Food Chemistry.
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.