Xianyu Jin

9 papers receiving 309 citations

Hit Papers

EDiffSR: An Efficient Diffusion Probabilistic Model for R...20232026202420252023202350100150

Peers

Xianyu Jin
Comparison fields: 5 of 57
  • Computer Vision and Pattern Recognition 217
  • Media Technology 151
  • Aerospace Engineering 32
  • Artificial Intelligence 20
  • Electrical and Electronic Engineering 19
Replace Takashi Shibata with:
Takashi Shibata Japan
M. G. Mozerov Russia
Yan Yuan China
Xiaojie Chu United States
Erkang Chen China
Dawa Chyophel Lepcha India
Stéphane Herbin France
Kangfu Mei United States
Jieyu Yuan China
Xianyu Jin relative to Takashi Shibata Japan Takashi Shibata's profile →
Citations per field
00.5×7.7×
Takashi Shibata · 1×
Citations per year

Countries citing papers authored by Xianyu Jin

Since Specialization
Citations

This map shows the geographic impact of Xianyu Jin'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 Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xianyu Jin more than expected).

Fields of papers citing papers by Xianyu Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xianyu Jin. 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 Jin. The network helps show where Xianyu Jin may publish in the future.

Co-authorship network of co-authors of Xianyu Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Xianyu Jin. A scholar is included among the top collaborators of Xianyu Jin 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 Jin. Xianyu Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
#WorkIndexed citations
1 3
2 4
3 0
4 4
5 6
6 19
7
Local-Global Temporal Difference Learning for Satellite Video Super-Resolutionbreakdown →
103
8 10
9
EDiffSR: An Efficient Diffusion Probabilistic Model for Remote Sensing Image Super-Resolutionbreakdown →
161
10 3

About Xianyu Jin

Xianyu Jin is a scholar working on Media Technology, Computer Vision and Pattern Recognition and Environmental Engineering, having authored 10 papers that have together received 313 indexed citations. Recurring topics across this work include Advanced Image Processing Techniques (5 papers), Advanced Image Fusion Techniques (4 papers) and Image Enhancement Techniques (3 papers). The work is most often cited by research in Media Technology (151 citations), Computer Vision and Pattern Recognition (217 citations) and Computer Graphics and Computer-Aided Design (5 citations). Xianyu Jin has collaborated with scholars based in China, Germany and Singapore. Frequent co-authors include Jiang He, Qiangqiang Yuan, Yi Xiao, Liangpei Zhang, Kui Jiang, Chia‐Wen Lin, Yi Xiao, Yi Liu, Jie Li and Qiangqiang Yuan. Their work appears in journals such as IEEE Transactions on Geoscience and Remote Sensing, ISPRS Journal of Photogrammetry and Remote Sensing and IEEE Transactions on Circuits and Systems for Video Technology.

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.

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