Jingwei Song
- Aerospace Engineering top 5%
- Computer Vision and Pattern Recognition top 5%
- Environmental Engineering top 10%
- Ocean Engineering top 5%
- Electrical and Electronic Engineering
- Co-authors
- Shoudong HuangGamini DissanayakeMingquan ChenJun WangZhi YangLiang ZhaoMaani GhaffariMitesh Patel
- Topics
- Robotics and Sensor-Based Localization (13 papers)Advanced Vision and Imaging (5 papers)Robotic Mechanisms and Dynamics (4 papers)
- Journals
- Journal of Cleaner ProductionIEEE Transactions on Geoscience and Remote SensingExpert Systems with Applications
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jingwei Song
33 papers receiving 652 citations
Peers
Comparison fields: 5 of 88
- Aerospace Engineering 321
- Computer Vision and Pattern Recognition 316
- Environmental Engineering 121
- Ocean Engineering 120
- Electrical and Electronic Engineering 90
Countries citing papers authored by Jingwei Song
This map shows the geographic impact of Jingwei Song'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 Jingwei Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jingwei Song more than expected).
Fields of papers citing papers by Jingwei Song
This network shows the impact of papers produced by Jingwei Song. 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 Jingwei Song. The network helps show where Jingwei Song may publish in the future.
Co-authorship network of co-authors of Jingwei Song
This figure shows the co-authorship network connecting the top 25 collaborators of Jingwei Song. A scholar is included among the top collaborators of Jingwei Song 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 Jingwei Song. Jingwei Song 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 | 1 | |
| 5 | 3 | |
| 6 | 11 | |
| 7 | 8 | |
| 8 | 11 | |
| 9 | 2 | |
| 10 | 10 | |
| 11 | 103 | |
| 12 | 1 | |
| 13 | 82 | |
| 14 | 49 | |
| 15 | 8 | |
| 16 | 2 | |
| 17 | 12 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 1 |
About Jingwei Song
Jingwei Song is a scholar working on Space and Planetary Science, Computer Vision and Pattern Recognition and Geology, having authored 35 papers that have together received 667 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (13 papers), Advanced Vision and Imaging (5 papers) and Robotic Mechanisms and Dynamics (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (316 citations), Aerospace Engineering (321 citations) and Geology (70 citations). Jingwei Song has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shoudong Huang, Gamini Dissanayake, Mingquan Chen, Jun Wang, Zhi Yang, Liang Zhao, Jun Wang, Maani Ghaffari, Mitesh Patel and Jian Wu. Their work appears in journals such as Journal of Cleaner Production, IEEE Transactions on Geoscience and Remote Sensing and Expert Systems with Applications.
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.