Haixiang Zang
- Electrical and Electronic Engineering top 2%
- Artificial Intelligence top 1%
- Renewable Energy, Sustainability and the Environment top 2%
- Control and Systems Engineering top 2%
- Energy Engineering and Power Technology top 1%
- Topics
- Energy Load and Power Forecasting (35 papers)Solar Radiation and Photovoltaics (34 papers)Smart Grid Energy Management (30 papers)
- Cited by
- Energy Engineering and Power TechnologyRenewable Energy, Sustainability and the EnvironmentElectrical and Electronic Engineering
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Haixiang Zang
112 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 85
- Electrical and Electronic Engineering 2.4k
- Artificial Intelligence 1.2k
- Renewable Energy, Sustainability and the Environment 861
- Control and Systems Engineering 487
- Energy Engineering and Power Technology 235
Countries citing papers authored by Haixiang Zang
This map shows the geographic impact of Haixiang Zang'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 Haixiang Zang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haixiang Zang more than expected).
Fields of papers citing papers by Haixiang Zang
This network shows the impact of papers produced by Haixiang Zang. 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 Haixiang Zang. The network helps show where Haixiang Zang may publish in the future.
Co-authorship network of co-authors of Haixiang Zang
This figure shows the co-authorship network connecting the top 25 collaborators of Haixiang Zang. A scholar is included among the top collaborators of Haixiang Zang 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 Haixiang Zang. Haixiang Zang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 8 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 8 | |
| 10 | 1 | |
| 11 | A Transformer-based multimodal-learning framework using sky images for ultra-short-term solar irradiance forecastingbreakdown → | 98 |
| 12 | 17 | |
| 13 | 10 | |
| 14 | 21 | |
| 15 | 2 | |
| 16 | 46 | |
| 17 | 26 | |
| 18 | 6 | |
| 19 | 2 | |
| 20 | A Rigorous Method for Power Quality Evaluation of High-speed Railway Using Electrical Transient Analyzer Program | 1 |
About Haixiang Zang
Haixiang Zang is a scholar working on Energy Engineering and Power Technology, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 121 papers that have together received 3.1k indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (35 papers), Solar Radiation and Photovoltaics (34 papers) and Smart Grid Energy Management (30 papers). The work is most often cited by research in Energy Engineering and Power Technology (235 citations), Renewable Energy, Sustainability and the Environment (861 citations) and Electrical and Electronic Engineering (2.4k citations). Haixiang Zang has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Guoqiang Sun, Zhinong Wei, Lilin Cheng, Tao Ding, Sheng Chen, Kwok W. Cheung, Ling Liu, Yizhou Zhou, Li Sun and Qingshan Xu. Their work appears in journals such as Journal of Cleaner Production, IEEE Transactions on Industrial Electronics and Applied 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.