Daxiong Ji
- Ocean Engineering top 1%
- Control and Systems Engineering top 5%
- Aerospace Engineering top 10%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Topics
- Underwater Vehicles and Communication Systems (30 papers)Target Tracking and Data Fusion in Sensor Networks (14 papers)Maritime Navigation and Safety (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaAutomaticaIEEE Access
- Partner nations
- ChinaUnited KingdomMalaysia
In The Last Decade
Daxiong Ji
50 papers receiving 693 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Ocean Engineering 385
- Control and Systems Engineering 239
- Aerospace Engineering 167
- Artificial Intelligence 134
- Computer Vision and Pattern Recognition 122
Countries citing papers authored by Daxiong Ji
This map shows the geographic impact of Daxiong 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 Daxiong Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daxiong Ji more than expected).
Fields of papers citing papers by Daxiong Ji
This network shows the impact of papers produced by Daxiong 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 Daxiong Ji. The network helps show where Daxiong Ji may publish in the future.
Co-authorship network of co-authors of Daxiong Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Daxiong Ji. A scholar is included among the top collaborators of Daxiong 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 Daxiong Ji. Daxiong 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 | 8 | |
| 3 | 1 | |
| 4 | 11 | |
| 5 | Autonomous Underwater Vehicle navigation: A reviewbreakdown → | 169 |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 16 | |
| 11 | 19 | |
| 12 | 28 | |
| 13 | 3 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | A tracking control method of ASV following AUV | 5 |
| 17 | Maneuverability design and analysis of an autonomous underwater vehicle for deep-sea hydrothermal plume survey | 7 |
| 18 | Simulation Research of Narrow Domain Through AUV Swim-out Based on CFD | 1 |
| 19 | Navigation error amendment for underwater robot using single beacon | 2 |
| 20 | Monte-carlo simulation analysis of detection time-delay of the position signal of AUV | 1 |
About Daxiong Ji
Daxiong Ji is a scholar working on Ocean Engineering, Oceanography and Computer Vision and Pattern Recognition, having authored 59 papers that have together received 706 indexed citations. Recurring topics across this work include Underwater Vehicles and Communication Systems (30 papers), Target Tracking and Data Fusion in Sensor Networks (14 papers) and Maritime Navigation and Safety (12 papers). The work is most often cited by research in Ocean Engineering (385 citations), Control and Systems Engineering (239 citations) and Aerospace Engineering (167 citations). Daxiong Ji has collaborated with scholars based in China, United Kingdom and Malaysia. Frequent co-authors include Wen Xu, Shuo Liu, Daqi Zhu, Shuo Li, Yu Tian, Xin Yao, Ying Chen, Haocai Huang, Rui Wang and Lin Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, Automatica and IEEE Access.
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.