Xiaojiang Chen
- Electrical and Electronic Engineering top 10%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Computer Networks and Communications top 10%
- Signal Processing top 5%
- Co-authors
- Dingyi FangPo-Yao HuangXiaojun ChangYun XiaoXin WangPengzhen RenZhihui LiLin Cai
- Topics
- Indoor and Outdoor Localization Technologies (13 papers)Energy Efficient Wireless Sensor Networks (11 papers)Underwater Vehicles and Communication Systems (11 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaojiang Chen
27 papers receiving 767 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Electrical and Electronic Engineering 322
- Artificial Intelligence 261
- Computer Vision and Pattern Recognition 211
- Computer Networks and Communications 163
- Signal Processing 124
Countries citing papers authored by Xiaojiang Chen
This map shows the geographic impact of Xiaojiang Chen'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 Xiaojiang Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojiang Chen more than expected).
Fields of papers citing papers by Xiaojiang Chen
This network shows the impact of papers produced by Xiaojiang Chen. 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 Xiaojiang Chen. The network helps show where Xiaojiang Chen may publish in the future.
Co-authorship network of co-authors of Xiaojiang Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojiang Chen. A scholar is included among the top collaborators of Xiaojiang Chen 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 Xiaojiang Chen. Xiaojiang Chen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 0 | |
| 3 | A Comprehensive Survey of Neural Architecture Searchbreakdown → | 346 |
| 4 | 1 | |
| 5 | 8 | |
| 6 | 41 | |
| 7 | 7 | |
| 8 | 31 | |
| 9 | 0 | |
| 10 | 12 | |
| 11 | 31 | |
| 12 | 5 | |
| 13 | 1 | |
| 14 | 121 | |
| 15 | 1 | |
| 16 | 0 | |
| 17 | 6 | |
| 18 | 5 | |
| 19 | 2 | |
| 20 | Design of auto-precision feeding system for pigs. | 2 |
About Xiaojiang Chen
Xiaojiang Chen is a scholar working on Ocean Engineering, Computer Networks and Communications and Signal Processing, having authored 32 papers that have together received 786 indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (13 papers), Energy Efficient Wireless Sensor Networks (11 papers) and Underwater Vehicles and Communication Systems (11 papers). The work is most often cited by research in Signal Processing (124 citations), Computer Vision and Pattern Recognition (211 citations) and Artificial Intelligence (261 citations). Xiaojiang Chen has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dingyi Fang, Po-Yao Huang, Xiaojun Chang, Yun Xiao, Xin Wang, Pengzhen Ren, Zhihui Li, Lin Cai, Tianzhang Xing and Zhe Yang. Their work appears in journals such as Journal of Colloid and Interface Science, Sensors and ACM Computing Surveys.
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.