Xiaohua Song
- Electrical and Electronic Engineering
- Economics and Econometrics top 10%
- Renewable Energy, Sustainability and the Environment
- Environmental Engineering top 10%
- Mechanical Engineering
- Co-authors
- Jinpeng LiuZhongfu TanHuanhuan LiLiwei JuQingkun TanDongxiao NiuPeng WangLu Zhang
- Topics
- Energy, Environment, Economic Growth (8 papers)Environmental Impact and Sustainability (4 papers)Climate Change Policy and Economics (4 papers)
- Cited by
- Energy Engineering and Power TechnologyEnvironmental EngineeringRenewable Energy, Sustainability and the Environment
- Partner nations
- ChinaKazakhstanUnited States
In The Last Decade
Xiaohua Song
22 papers receiving 432 citations
Peers
Comparison fields: 5 of 63
- Electrical and Electronic Engineering 218
- Economics and Econometrics 143
- Renewable Energy, Sustainability and the Environment 93
- Environmental Engineering 83
- Mechanical Engineering 55
Countries citing papers authored by Xiaohua Song
This map shows the geographic impact of Xiaohua Song'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 Xiaohua Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohua Song more than expected).
Fields of papers citing papers by Xiaohua Song
This network shows the impact of papers produced by Xiaohua Song. 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 Xiaohua Song. The network helps show where Xiaohua Song may publish in the future.
Co-authorship network of co-authors of Xiaohua Song
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaohua Song. A scholar is included among the top collaborators of Xiaohua Song 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 Xiaohua Song. Xiaohua Song 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 | 0 | |
| 3 | 11 | |
| 4 | 4 | |
| 5 | 66 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 12 | |
| 9 | 4 | |
| 10 | 14 | |
| 11 | 19 | |
| 12 | 53 | |
| 13 | 5 | |
| 14 | 8 | |
| 15 | 139 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | Analysis and Comprehensive Evaluation of Soil Fertility Status in Tobacco-planting Districts of Chongqing City | 1 |
| 19 | Prediction model of improved artificial neural network and its application | 5 |
| 20 | 3 |
About Xiaohua Song
Xiaohua Song is a scholar working on Economics and Econometrics, Management Science and Operations Research and Energy Engineering and Power Technology, having authored 27 papers that have together received 441 indexed citations. Recurring topics across this work include Energy, Environment, Economic Growth (8 papers), Environmental Impact and Sustainability (4 papers) and Climate Change Policy and Economics (4 papers). The work is most often cited by research in Energy Engineering and Power Technology (41 citations), Environmental Engineering (83 citations) and Renewable Energy, Sustainability and the Environment (93 citations). Xiaohua Song has collaborated with scholars based in China, Kazakhstan and United States. Frequent co-authors include Jinpeng Liu, Zhongfu Tan, Huanhuan Li, Liwei Ju, Qingkun Tan, Dongxiao Niu, Peng Wang, Lu Zhang, Xiaoyan Liu and Yuqi Shan. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Energy Policy.
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.