Jie Ji
- Automotive Engineering top 0.5%
- Control and Systems Engineering top 2%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Mechanical Engineering
- Topics
- Vehicle Dynamics and Control Systems (7 papers)Autonomous Vehicle Technology and Safety (7 papers)Robotic Path Planning Algorithms (4 papers)
- Cited by
- Automotive EngineeringControl and Systems EngineeringComputer Vision and Pattern Recognition
- Journals
- Renewable and Sustainable Energy ReviewsJournal of Power SourcesIEEE Transactions on Vehicular Technology
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Jie Ji
16 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 56
- Automotive Engineering 1.2k
- Control and Systems Engineering 586
- Electrical and Electronic Engineering 547
- Computer Vision and Pattern Recognition 357
- Mechanical Engineering 146
Countries citing papers authored by Jie Ji
This map shows the geographic impact of Jie Ji'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 Jie Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jie Ji more than expected).
Fields of papers citing papers by Jie Ji
This network shows the impact of papers produced by Jie Ji. 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 Jie Ji. The network helps show where Jie Ji may publish in the future.
Co-authorship network of co-authors of Jie Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Jie Ji. A scholar is included among the top collaborators of Jie Ji 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 Jie Ji. Jie Ji 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 | 1 | |
| 3 | 2 | |
| 4 | 7 | |
| 5 | 5 | |
| 6 | 9 | |
| 7 | 11 | |
| 8 | 0 | |
| 9 | 2 | |
| 10 | 202 | |
| 11 | 3 | |
| 12 | Model predictive control power management strategies for HEVs: A reviewbreakdown → | 455 |
| 13 | Path Planning and Tracking for Vehicle Collision Avoidance Based on Model Predictive Control With Multiconstraintsbreakdown → | 811 |
| 14 | 3 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | 1 | |
| 19 | Method for estimating vehicle speed based on multi-sensor fusion | 2 |
About Jie Ji
Jie Ji is a scholar working on Automotive Engineering, General Engineering and Control and Systems Engineering, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (7 papers), Autonomous Vehicle Technology and Safety (7 papers) and Robotic Path Planning Algorithms (4 papers). The work is most often cited by research in Automotive Engineering (1.2k citations), Control and Systems Engineering (586 citations) and Computer Vision and Pattern Recognition (357 citations). Jie Ji has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include Yanjun Huang, Amir Khajepour, Hong Wang, Hongwen He, Hong Wang, Bin Li, Chuan Hu, Kegang Zhao, Fei Wu and Lingyun Yao. Their work appears in journals such as Renewable and Sustainable Energy Reviews, Journal of Power Sources and IEEE Transactions on Vehicular Technology.
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.