Xiaojian Wu
- Computer Networks and Communications top 5%
- Hardware and Architecture top 2%
- Automotive Engineering top 5%
- Control and Systems Engineering top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- A. L. Narasimha ReddyBing ZhouQingjia CuiRongjun DingMingxing LinShlomo ZilbersteinDaniel SheldonZhen Wang
- Topics
- Vehicle Dynamics and Control Systems (19 papers)Autonomous Vehicle Technology and Safety (8 papers)Advanced Data Storage Technologies (6 papers)
- Journals
- IEEE Transactions on Vehicular TechnologySeparation and Purification TechnologySignal Processing
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xiaojian Wu
49 papers receiving 740 citations
Peers
Comparison fields: 5 of 78
- Computer Networks and Communications 316
- Hardware and Architecture 253
- Automotive Engineering 202
- Control and Systems Engineering 178
- Computer Vision and Pattern Recognition 123
Countries citing papers authored by Xiaojian Wu
This map shows the geographic impact of Xiaojian Wu'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 Xiaojian Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojian Wu more than expected).
Fields of papers citing papers by Xiaojian Wu
This network shows the impact of papers produced by Xiaojian Wu. 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 Xiaojian Wu. The network helps show where Xiaojian Wu may publish in the future.
Co-authorship network of co-authors of Xiaojian Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojian Wu. A scholar is included among the top collaborators of Xiaojian Wu 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 Xiaojian Wu. Xiaojian Wu 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 | 0 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 7 | |
| 10 | 21 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 6 | |
| 15 | Optimal threshold control for energy arbitrage with degradable battery storage | 3 |
| 16 | 12 | |
| 17 | Parameter learning for latent network diffusion | 5 |
| 18 | 3 | |
| 19 | 22 | |
| 20 | 3 |
About Xiaojian Wu
Xiaojian Wu is a scholar working on Automotive Engineering, Control and Systems Engineering and Civil and Structural Engineering, having authored 56 papers that have together received 758 indexed citations. Recurring topics across this work include Vehicle Dynamics and Control Systems (19 papers), Autonomous Vehicle Technology and Safety (8 papers) and Advanced Data Storage Technologies (6 papers). The work is most often cited by research in Hardware and Architecture (253 citations), Automotive Engineering (202 citations) and Computer Networks and Communications (316 citations). Xiaojian Wu has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include A. L. Narasimha Reddy, Bing Zhou, Qingjia Cui, Rongjun Ding, Mingxing Lin, Shlomo Zilberstein, Daniel Sheldon, Zhen Wang, Guilin Wen and Dong Zhang. Their work appears in journals such as IEEE Transactions on Vehicular Technology, Separation and Purification Technology and Signal Processing.
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.