Xianyu Chen
- Electrical and Electronic Engineering
- Materials Chemistry
- Computer Vision and Pattern Recognition top 10%
- Molecular Biology
- Food Science top 10%
- Co-authors
- Ming JiangRonald E. HunterParinya PanuwetP. Barry RyanDana Boyd BarrSamantha RadfordM. Elizabeth MarderPriya E D'Souza
- Topics
- Optical Wireless Communication Technologies (5 papers)Multimodal Machine Learning Applications (5 papers)Domain Adaptation and Few-Shot Learning (5 papers)
- Journals
- Advanced MaterialsSHILAP Revista de lepidopterologíaPLoS ONE
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Xianyu Chen
33 papers receiving 828 citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Electrical and Electronic Engineering 241
- Materials Chemistry 137
- Computer Vision and Pattern Recognition 127
- Molecular Biology 124
- Food Science 102
Countries citing papers authored by Xianyu Chen
This map shows the geographic impact of Xianyu 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 Xianyu Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianyu Chen more than expected).
Fields of papers citing papers by Xianyu Chen
This network shows the impact of papers produced by Xianyu 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 Xianyu Chen. The network helps show where Xianyu Chen may publish in the future.
Co-authorship network of co-authors of Xianyu Chen
This figure shows the co-authorship network connecting the top 25 collaborators of Xianyu Chen. A scholar is included among the top collaborators of Xianyu 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 Xianyu Chen. Xianyu 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 | 3 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 14 | |
| 6 | 1 | |
| 7 | 30 | |
| 8 | 9 | |
| 9 | Wide Range Depth Estimation from Binocular Light Field Camera. | 1 |
| 10 | 1 | |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 67 | |
| 14 | 3 | |
| 15 | Biological Matrix Effects in Quantitative Tandem Mass Spectrometry-Based Analytical Methods: Advancing Biomonitoringbreakdown → | 296 |
| 16 | 44 | |
| 17 | 1 | |
| 18 | 3 | |
| 19 | 47 | |
| 20 | 14 |
About Xianyu Chen
Xianyu Chen is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Analytical Chemistry, having authored 33 papers that have together received 850 indexed citations. Recurring topics across this work include Optical Wireless Communication Technologies (5 papers), Multimodal Machine Learning Applications (5 papers) and Domain Adaptation and Few-Shot Learning (5 papers). The work is most often cited by research in Analytical Chemistry (79 citations), Computer Vision and Pattern Recognition (127 citations) and Food Science (102 citations). Xianyu Chen has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ming Jiang, Ronald E. Hunter, Parinya Panuwet, P. Barry Ryan, Dana Boyd Barr, Samantha Radford, M. Elizabeth Marder, Priya E D'Souza, Jordan Cohen and Shu‐Hong Yu. Their work appears in journals such as Advanced Materials, SHILAP Revista de lepidopterología and PLoS ONE.
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.