Jianmin Ji
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 5%
- Artificial Intelligence top 5%
- Control and Systems Engineering top 10%
- Automotive Engineering top 10%
- Co-authors
- Yanyong ZhangXiaoping ChenJiajun DengHouqiang LiYu ZhangHanqi ZhuGuangda ChenYingjie Wang
- Topics
- Robotics and Sensor-Based Localization (23 papers)Reinforcement Learning in Robotics (15 papers)Robotic Path Planning Algorithms (15 papers)
- Journals
- SensorsInternational Journal of Computer VisionThe International Journal of Robotics Research
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Jianmin Ji
59 papers receiving 710 citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 404
- Aerospace Engineering 251
- Artificial Intelligence 210
- Control and Systems Engineering 95
- Automotive Engineering 91
Countries citing papers authored by Jianmin Ji
This map shows the geographic impact of Jianmin 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 Jianmin Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jianmin Ji more than expected).
Fields of papers citing papers by Jianmin Ji
This network shows the impact of papers produced by Jianmin 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 Jianmin Ji. The network helps show where Jianmin Ji may publish in the future.
Co-authorship network of co-authors of Jianmin Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Jianmin Ji. A scholar is included among the top collaborators of Jianmin 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 Jianmin Ji. Jianmin 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 | 0 | |
| 3 | 1 | |
| 4 | 8 | |
| 5 | 3 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | 14 | |
| 11 | 97 | |
| 12 | 31 | |
| 13 | 110 | |
| 14 | 7 | |
| 15 | 1 | |
| 16 | On forgetting postulates in answer set programming | 2 |
| 17 | Simplifying a logic program using its consequences | 1 |
| 18 | 3 | |
| 19 | 53 | |
| 20 | A Discussion of the Evaluation System of College P.E.Teaching Quality in China | 0 |
About Jianmin Ji
Jianmin Ji is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering, having authored 70 papers that have together received 738 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (23 papers), Reinforcement Learning in Robotics (15 papers) and Robotic Path Planning Algorithms (15 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (404 citations), Instrumentation (46 citations) and Geology (61 citations). Jianmin Ji has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yanyong Zhang, Xiaoping Chen, Jiajun Deng, Houqiang Li, Yu Zhang, Hanqi Zhu, Yanyong Zhang, Guangda Chen, Yu Zhang and Yingjie Wang. Their work appears in journals such as Sensors, International Journal of Computer Vision and The International Journal of Robotics Research.
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.