Hao Tian
- Electrical and Electronic Engineering top 2%
- Artificial Intelligence top 1%
- Control and Systems Engineering top 1%
- Computer Vision and Pattern Recognition top 5%
- Civil and Structural Engineering top 5%
- Topics
- Multilevel Inverters and Converters (42 papers)Advanced DC-DC Converters (33 papers)Microgrid Control and Optimization (30 papers)
- Cited by
- Energy Engineering and Power TechnologyControl and Systems EngineeringArtificial Intelligence
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Hao Tian
137 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Electrical and Electronic Engineering 1.7k
- Artificial Intelligence 1.2k
- Control and Systems Engineering 1.1k
- Computer Vision and Pattern Recognition 350
- Civil and Structural Engineering 289
Countries citing papers authored by Hao Tian
This map shows the geographic impact of Hao Tian'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 Hao Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Tian more than expected).
Fields of papers citing papers by Hao Tian
This network shows the impact of papers produced by Hao Tian. 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 Hao Tian. The network helps show where Hao Tian may publish in the future.
Co-authorship network of co-authors of Hao Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Hao Tian. A scholar is included among the top collaborators of Hao Tian 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 Hao Tian. Hao Tian 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 | 38 | |
| 3 | 15 | |
| 4 | A Decomposition Dynamic graph convolutional recurrent network for traffic forecastingbreakdown → | 115 |
| 5 | 11 | |
| 6 | 2 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 17 | |
| 10 | 11 | |
| 11 | 10 | |
| 12 | 3 | |
| 13 | 159 | |
| 14 | 37 | |
| 15 | 5 | |
| 16 | Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation | 2 |
| 17 | 74 | |
| 18 | Cross-lingual Projections between Languages from Different Families | 3 |
| 19 | Mechanical properties of surrounding rocks of large water-sealed underground oil storage caverns during construction process | 5 |
| 20 | Study on surrounding rock stability based on the efficacy coefficient method and rough set | 2 |
About Hao Tian
Hao Tian is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and General Engineering, having authored 152 papers that have together received 3.9k indexed citations. Recurring topics across this work include Multilevel Inverters and Converters (42 papers), Advanced DC-DC Converters (33 papers) and Microgrid Control and Optimization (30 papers). The work is most often cited by research in Energy Engineering and Power Technology (177 citations), Control and Systems Engineering (1.1k citations) and Artificial Intelligence (1.2k citations). Hao Tian has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Yunwei Li, Xiaohui Yuan, Bin Ji, Hua Wu, Haifeng Wang, Zhihuan Chen, Yu Sun, Shuohuan Wang, Shikun Feng and Farzam Nejabatkhah. Their work appears in journals such as Scientific Reports, Food Chemistry and IEEE Transactions on Industrial Electronics.
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.