Xiangang Peng
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 10%
- Control and Systems Engineering top 10%
- Aerospace Engineering
- Environmental Engineering
- Topics
- Energy Load and Power Forecasting (14 papers)Solar Radiation and Photovoltaics (8 papers)Power Systems and Renewable Energy (7 papers)
- Cited by
- Energy Engineering and Power TechnologyElectrical and Electronic EngineeringArtificial Intelligence
- Partner nations
- ChinaUnited KingdomAustralia
In The Last Decade
Xiangang Peng
31 papers receiving 570 citations
Peers
Comparison fields: 5 of 62
- Electrical and Electronic Engineering 485
- Artificial Intelligence 176
- Control and Systems Engineering 117
- Aerospace Engineering 79
- Environmental Engineering 59
Countries citing papers authored by Xiangang Peng
This map shows the geographic impact of Xiangang Peng'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 Xiangang Peng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangang Peng more than expected).
Fields of papers citing papers by Xiangang Peng
This network shows the impact of papers produced by Xiangang Peng. 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 Xiangang Peng. The network helps show where Xiangang Peng may publish in the future.
Co-authorship network of co-authors of Xiangang Peng
This figure shows the co-authorship network connecting the top 25 collaborators of Xiangang Peng. A scholar is included among the top collaborators of Xiangang Peng 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 Xiangang Peng. Xiangang Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 11 | |
| 9 | 14 | |
| 10 | 15 | |
| 11 | 17 | |
| 12 | 3 | |
| 13 | 3 | |
| 14 | 36 | |
| 15 | 77 | |
| 16 | 89 | |
| 17 | Natural gas power generation related problems and its countermeasures for Guangdong power grid | 1 |
| 18 | 20 | |
| 19 | 2 | |
| 20 | Application of Fuzzy Pattern Recognition in Insulation Detection of Insulator Strings | 1 |
About Xiangang Peng
Xiangang Peng is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 33 papers that have together received 585 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (14 papers), Solar Radiation and Photovoltaics (8 papers) and Power Systems and Renewable Energy (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (41 citations), Electrical and Electronic Engineering (485 citations) and Artificial Intelligence (176 citations). Xiangang Peng has collaborated with scholars based in China, United Kingdom and Australia. Frequent co-authors include Dan Zhang, Yi Liu, Keda Pan, Hao Yin, Anbo Meng, Lixiang Lin, Peng Mei, Di Lu, Haoliang Yuan and Loi Lei Lai. Their work appears in journals such as Applied Energy, Energy Conversion and Management 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.