Bixuan Gao
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering top 10%
- Renewable Energy, Sustainability and the Environment top 10%
- Environmental Engineering
- Management Science and Operations Research top 10%
- Co-authors
- Yonghang TaiXiaoqiao HuangJunsheng ShiJun ZhangZaiqing ChenWu‐Ming LiuQiong LiZhengtao Yu
- Topics
- Energy Load and Power Forecasting (8 papers)Solar Radiation and Photovoltaics (7 papers)Air Quality Monitoring and Forecasting (4 papers)
- Cited by
- Renewable Energy, Sustainability and the EnvironmentArtificial IntelligenceElectrical and Electronic Engineering
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Bixuan Gao
17 papers receiving 655 citations
Hit Papers
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 452
- Electrical and Electronic Engineering 448
- Renewable Energy, Sustainability and the Environment 267
- Environmental Engineering 67
- Management Science and Operations Research 48
Countries citing papers authored by Bixuan Gao
This map shows the geographic impact of Bixuan Gao'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 Bixuan Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bixuan Gao more than expected).
Fields of papers citing papers by Bixuan Gao
This network shows the impact of papers produced by Bixuan Gao. 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 Bixuan Gao. The network helps show where Bixuan Gao may publish in the future.
Co-authorship network of co-authors of Bixuan Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Bixuan Gao. A scholar is included among the top collaborators of Bixuan Gao 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 Bixuan Gao. Bixuan Gao 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 | 15 | |
| 3 | 16 | |
| 4 | 4 | |
| 5 | 18 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 14 | |
| 11 | 51 | |
| 12 | 142 | |
| 13 | 6 | |
| 14 | Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networksbreakdown → | 275 |
| 15 | 29 | |
| 16 | 58 | |
| 17 | 1 | |
| 18 | 37 |
About Bixuan Gao
Bixuan Gao is a scholar working on Health Informatics, Environmental Engineering and Artificial Intelligence, having authored 18 papers that have together received 670 indexed citations. Recurring topics across this work include Energy Load and Power Forecasting (8 papers), Solar Radiation and Photovoltaics (7 papers) and Air Quality Monitoring and Forecasting (4 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (267 citations), Artificial Intelligence (452 citations) and Electrical and Electronic Engineering (448 citations). Bixuan Gao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Yonghang Tai, Xiaoqiao Huang, Junsheng Shi, Jun Zhang, Zaiqing Chen, Wu‐Ming Liu, Qiong Li, Jun Zhang, Zhengtao Yu and Victor Chang. Their work appears in journals such as Journal of Cleaner Production, Applied Energy and IEEE Access.
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.