Xiaoxue Feng
- Aerospace Engineering
- Artificial Intelligence
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Co-authors
- Peijun LiFeng PanQuanmin ZhuLianmeng JiaoYaping DaiYan LiangTao ChengCe Zhang
- Topics
- Target Tracking and Data Fusion in Sensor Networks (15 papers)Fault Detection and Control Systems (7 papers)Distributed Sensor Networks and Detection Algorithms (6 papers)
- Partner nations
- ChinaUnited KingdomPuerto Rico
In The Last Decade
Xiaoxue Feng
38 papers receiving 243 citations
Peers
Comparison fields: 5 of 67
- Aerospace Engineering 76
- Artificial Intelligence 68
- Computer Vision and Pattern Recognition 67
- Electrical and Electronic Engineering 40
- Computer Networks and Communications 35
Countries citing papers authored by Xiaoxue Feng
This map shows the geographic impact of Xiaoxue Feng'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 Xiaoxue Feng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxue Feng more than expected).
Fields of papers citing papers by Xiaoxue Feng
This network shows the impact of papers produced by Xiaoxue Feng. 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 Xiaoxue Feng. The network helps show where Xiaoxue Feng may publish in the future.
Co-authorship network of co-authors of Xiaoxue Feng
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoxue Feng. A scholar is included among the top collaborators of Xiaoxue Feng 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 Xiaoxue Feng. Xiaoxue Feng 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 | 3 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | ChaLearn LAP Challenges on Self-Reported Personality Recognition and Non-Verbal Behavior Forecasting During Social Dyadic Interactions:Dataset, Design, and Results | 0 |
| 8 | 4 | |
| 9 | 14 | |
| 10 | 7 | |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | Gaussian likelihood based Bernoulli particle filter for non-uniformly quantized interval measurement | 1 |
| 16 | Doppler-only tracking under a minimum detectable velocity constraint | 1 |
| 17 | 0 | |
| 18 | MAP joint identification and estimation for over-the-horizon radar | 1 |
| 19 | Converted Measurement Kalman filter with nonlinear equality constrains | 2 |
| 20 | 3 |
About Xiaoxue Feng
Xiaoxue Feng is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 48 papers that have together received 250 indexed citations. Recurring topics across this work include Target Tracking and Data Fusion in Sensor Networks (15 papers), Fault Detection and Control Systems (7 papers) and Distributed Sensor Networks and Detection Algorithms (6 papers). The work is most often cited by research in Media Technology (32 citations), Computer Vision and Pattern Recognition (67 citations) and Aerospace Engineering (76 citations). Xiaoxue Feng has collaborated with scholars based in China, United Kingdom and Puerto Rico. Frequent co-authors include Peijun Li, Feng Pan, Quanmin Zhu, Feng Pan, Lianmeng Jiao, Yaping Dai, Yan Liang, Tao Cheng, Feng Pan and Ce Zhang. Their work appears in journals such as NeuroImage, Expert Systems with Applications and Sensors.
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.