Chao Xiang
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Economics and Econometrics top 5%
- Aerospace Engineering top 5%
- Environmental Engineering top 10%
- Topics
- Advanced Neural Network Applications (6 papers)Target Tracking and Data Fusion in Sensor Networks (6 papers)Inertial Sensor and Navigation (5 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Chao Xiang
65 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 137
- Computer Vision and Pattern Recognition 390
- Artificial Intelligence 216
- Economics and Econometrics 197
- Aerospace Engineering 194
- Environmental Engineering 126
Countries citing papers authored by Chao Xiang
This map shows the geographic impact of Chao Xiang'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 Chao Xiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Xiang more than expected).
Fields of papers citing papers by Chao Xiang
This network shows the impact of papers produced by Chao Xiang. 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 Chao Xiang. The network helps show where Chao Xiang may publish in the future.
Co-authorship network of co-authors of Chao Xiang
This figure shows the co-authorship network connecting the top 25 collaborators of Chao Xiang. A scholar is included among the top collaborators of Chao Xiang 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 Chao Xiang. Chao Xiang 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 | 1 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 3 | |
| 7 | 8 | |
| 8 | 6 | |
| 9 | 22 | |
| 10 | 65 | |
| 11 | 5 | |
| 12 | 15 | |
| 13 | 1 | |
| 14 | 14 | |
| 15 | 6 | |
| 16 | 232 | |
| 17 | Dissection and QTL mapping of low-phosphorus tolerance using selected introgression lines in rice. | 2 |
| 18 | Topical Key Concept Extraction from Folksonomy | 1 |
| 19 | Design and implementation of mode reconfigurable NAND flash error correcting system | 1 |
| 20 | Corporate Governance and Performance | 12 |
About Chao Xiang
Chao Xiang is a scholar working on Acoustics and Ultrasonics, Instrumentation and Aerospace Engineering, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers) and Inertial Sensor and Navigation (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (390 citations), Environmental Engineering (126 citations) and Signal Processing (92 citations). Chao Xiang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Deng Cai, Changxu Wang, Cong Fu, Qingyun He, Qinglong Shao, Guoen Wei, Zhu Xiang, Xiao Ouyang, Xiaofei He and Zhengxu Yu. Their work appears in journals such as Analytical Chemistry, The Science of The Total Environment and Acta Materialia.
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.