Xiaorong Li
- Artificial Intelligence top 0.5%
- Aerospace Engineering top 1%
- Control and Systems Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 5%
- Co-authors
- Yaakov Bar‐ShalomVesselin P. JilkovZongben XuJian SunMeng LouYide MaYunliang QiXiangdong Lin
- Topics
- Target Tracking and Data Fusion in Sensor Networks (5 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)AI in cancer detection (4 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Automatic ControlScientific Reports
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaorong Li
18 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 1.6k
- Aerospace Engineering 776
- Control and Systems Engineering 694
- Computer Vision and Pattern Recognition 360
- Computer Networks and Communications 348
Countries citing papers authored by Xiaorong Li
This map shows the geographic impact of Xiaorong Li'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 Xiaorong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaorong Li more than expected).
Fields of papers citing papers by Xiaorong Li
This network shows the impact of papers produced by Xiaorong Li. 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 Xiaorong Li. The network helps show where Xiaorong Li may publish in the future.
Co-authorship network of co-authors of Xiaorong Li
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaorong Li. A scholar is included among the top collaborators of Xiaorong Li 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 Xiaorong Li. Xiaorong Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 10 | |
| 6 | 18 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 9 | |
| 10 | 24 | |
| 11 | 65 | |
| 12 | 46 | |
| 13 | 7 | |
| 14 | 97 | |
| 15 | 22 | |
| 16 | 18 | |
| 17 | 418 | |
| 18 | Estimation and Tracking: Principles, Techniques, and Softwarebreakdown → | 1521 |
| 19 | HYBRID STATE ESTIMATION AND PERFORMANCE PREDICTION WITH APPLICATIONS TO AIR TRAFFIC CONTROL AND DETECTION THRESHOLD OPTIMIZATION. | 4 |
About Xiaorong Li
Xiaorong Li is a scholar working on Artificial Intelligence, Development and Computer Vision and Pattern Recognition, having authored 19 papers that have together received 2.3k indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and AI in cancer detection (4 papers). The work is most often cited by research in Artificial Intelligence (1.6k citations), Aerospace Engineering (776 citations) and Control and Systems Engineering (694 citations). Xiaorong Li has collaborated with scholars based in China and United States. Frequent co-authors include Yaakov Bar‐Shalom, Vesselin P. Jilkov, Zongben Xu, Jian Sun, Meng Lou, Yide Ma, Yunliang Qi, Xiangdong Lin, T. Kirubarajan and Jian Sun. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Automatic Control and Scientific Reports.
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.