Quan Chen
- Computer Vision and Pattern Recognition top 10%
- Electrical and Electronic Engineering
- Computer Networks and Communications top 10%
- Artificial Intelligence
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Pramod K. VarshneyXiaogang JinAnimesh YadavH. Vincent PoorKun GaiZhiqiang ZhangMin ZhouBaocheng Geng
- Topics
- Distributed Sensor Networks and Detection Algorithms (10 papers)Advanced Radiotherapy Techniques (6 papers)Target Tracking and Data Fusion in Sensor Networks (6 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mathematics
- Journals
- NeuroImageIEEE Transactions on Signal ProcessingInternational Journal of Radiation Oncology*Biology*Physics
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Quan Chen
33 papers receiving 375 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 138
- Electrical and Electronic Engineering 97
- Computer Networks and Communications 92
- Artificial Intelligence 61
- Radiology, Nuclear Medicine and Imaging 44
Countries citing papers authored by Quan Chen
This map shows the geographic impact of Quan 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 Quan Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quan Chen more than expected).
Fields of papers citing papers by Quan Chen
This network shows the impact of papers produced by Quan 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 Quan Chen. The network helps show where Quan Chen may publish in the future.
Co-authorship network of co-authors of Quan Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Quan Chen. A scholar is included among the top collaborators of Quan 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 Quan Chen. Quan 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | 79 | |
| 14 | 4 | |
| 15 | 3 | |
| 16 | 13 | |
| 17 | 1 | |
| 18 | 10 | |
| 19 | 9 | |
| 20 | 14 |
About Quan Chen
Quan Chen is a scholar working on Computational Mathematics, Computer Networks and Communications and Radiation, having authored 35 papers that have together received 379 indexed citations. Recurring topics across this work include Distributed Sensor Networks and Detection Algorithms (10 papers), Advanced Radiotherapy Techniques (6 papers) and Target Tracking and Data Fusion in Sensor Networks (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (30 citations), Computer Vision and Pattern Recognition (138 citations) and Computational Mathematics (3 citations). Quan Chen has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Pramod K. Varshney, Xiaogang Jin, Animesh Yadav, H. Vincent Poor, Kun Gai, Zhiqiang Zhang, Min Zhou, Baocheng Geng, Hock Soon Seah and Jingwei Duan. Their work appears in journals such as NeuroImage, IEEE Transactions on Signal Processing and International Journal of Radiation Oncology*Biology*Physics.
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.