Fangxu Xing
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Signal Processing top 5%
- Physiology
- Co-authors
- Jonghye WooGeorges El FakhriXiaofeng LiuJerry L. PrinceMaureen StoneJe‐Won KangJunghoon LeeC.‐C. Jay Kuo
- Topics
- Voice and Speech Disorders (19 papers)Speech and Audio Processing (17 papers)Speech Recognition and Synthesis (16 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingArtificial Intelligence
- Partner nations
- United StatesSouth KoreaHong Kong
In The Last Decade
Fangxu Xing
69 papers receiving 870 citations
Hit Papers
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 359
- Computer Vision and Pattern Recognition 307
- Radiology, Nuclear Medicine and Imaging 270
- Signal Processing 104
- Physiology 98
Countries citing papers authored by Fangxu Xing
This map shows the geographic impact of Fangxu Xing'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 Fangxu Xing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fangxu Xing more than expected).
Fields of papers citing papers by Fangxu Xing
This network shows the impact of papers produced by Fangxu Xing. 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 Fangxu Xing. The network helps show where Fangxu Xing may publish in the future.
Co-authorship network of co-authors of Fangxu Xing
This figure shows the co-authorship network connecting the top 25 collaborators of Fangxu Xing. A scholar is included among the top collaborators of Fangxu Xing 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 Fangxu Xing. Fangxu Xing is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectivesbreakdown → | 142 |
| 13 | 44 | |
| 14 | 21 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 19 | |
| 18 | 25 | |
| 19 | 51 | |
| 20 | 8 |
About Fangxu Xing
Fangxu Xing is a scholar working on Signal Processing, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition, having authored 75 papers that have together received 872 indexed citations. Recurring topics across this work include Voice and Speech Disorders (19 papers), Speech and Audio Processing (17 papers) and Speech Recognition and Synthesis (16 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (307 citations), Radiology, Nuclear Medicine and Imaging (270 citations) and Artificial Intelligence (359 citations). Fangxu Xing has collaborated with scholars based in United States, South Korea and Hong Kong. Frequent co-authors include Jonghye Woo, Georges El Fakhri, Xiaofeng Liu, Jerry L. Prince, Maureen Stone, Je‐Won Kang, Junghoon Lee, C.‐C. Jay Kuo, Maureen Stone and Emi Z. Murano. Their work appears in journals such as PLoS ONE, Scientific Reports and The Journal of the Acoustical Society of America.
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.