Han Zhao
- Electrical and Electronic Engineering top 10%
- Automotive Engineering top 5%
- Mechanical Engineering
- Control and Systems Engineering
- Biomedical Engineering
- Topics
- Electric and Hybrid Vehicle Technologies (9 papers)Industrial Technology and Control Systems (7 papers)Vehicle Dynamics and Control Systems (4 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Han Zhao
26 papers receiving 429 citations
Peers
Comparison fields: 5 of 46
- Electrical and Electronic Engineering 352
- Automotive Engineering 239
- Mechanical Engineering 52
- Control and Systems Engineering 46
- Biomedical Engineering 30
Countries citing papers authored by Han Zhao
This map shows the geographic impact of Han Zhao'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 Han Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Han Zhao more than expected).
Fields of papers citing papers by Han Zhao
This network shows the impact of papers produced by Han Zhao. 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 Han Zhao. The network helps show where Han Zhao may publish in the future.
Co-authorship network of co-authors of Han Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Han Zhao. A scholar is included among the top collaborators of Han Zhao 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 Han Zhao. Han Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 0 | |
| 8 | 8 | |
| 9 | 3 | |
| 10 | 4 | |
| 11 | 19 | |
| 12 | 292 | |
| 13 | Study of dynamic coordinated control algorithm of regenerative braking force of electric vehicle | 1 |
| 14 | Orthogonal optimization and application of system parameters of hybrid electric bus | 0 |
| 15 | A New Centralized Lubrication System Based on Microcontroller | 0 |
| 16 | Workspace Analysis and Simulation of 6-3-3 Parallel Mechanism | 1 |
| 17 | Geometrical Design for a Large Magnetic Supporting System Considering Physics' Coupling | 0 |
| 18 | Simulation of Hybrid Electric Vehicle Control Strategy Based on Fuzzy Neural Network | 4 |
| 19 | Study on the configuration of the power system of fuel cell city buses | 1 |
| 20 | State-of-the-art of the Electric Vehicles Simulation Software | 3 |
About Han Zhao
Han Zhao is a scholar working on Automotive Engineering, Control and Systems Engineering and Energy Engineering and Power Technology, having authored 34 papers that have together received 443 indexed citations. Recurring topics across this work include Electric and Hybrid Vehicle Technologies (9 papers), Industrial Technology and Control Systems (7 papers) and Vehicle Dynamics and Control Systems (4 papers). The work is most often cited by research in Automotive Engineering (239 citations), Electrical and Electronic Engineering (352 citations) and Control and Systems Engineering (46 citations). Han Zhao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Junjun Deng, Chris Mı, Weihan Li, Siqi Li, Ke Shao, Jinchuan Zheng, Biao Yu, Deyi Xue, Theodor Freiheit and Simon S. Park. Their work appears in journals such as ACS Nano, Applied Energy and International Journal of Hydrogen 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.