Yuanyuan Pu
- Plant Science
- Molecular Biology
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Computer Graphics and Computer-Aided Design top 10%
- Topics
- Image Enhancement Techniques (9 papers)Computer Graphics and Visualization Techniques (8 papers)Generative Adversarial Networks and Image Synthesis (6 papers)
In The Last Decade
Yuanyuan Pu
44 papers receiving 256 citations
Peers
Comparison fields: 5 of 82
- Plant Science 84
- Molecular Biology 79
- Computer Vision and Pattern Recognition 79
- Artificial Intelligence 29
- Computer Graphics and Computer-Aided Design 27
Countries citing papers authored by Yuanyuan Pu
This map shows the geographic impact of Yuanyuan Pu'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 Yuanyuan Pu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuanyuan Pu more than expected).
Fields of papers citing papers by Yuanyuan Pu
This network shows the impact of papers produced by Yuanyuan Pu. 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 Yuanyuan Pu. The network helps show where Yuanyuan Pu may publish in the future.
Co-authorship network of co-authors of Yuanyuan Pu
This figure shows the co-authorship network connecting the top 25 collaborators of Yuanyuan Pu. A scholar is included among the top collaborators of Yuanyuan Pu 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 Yuanyuan Pu. Yuanyuan Pu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 10 | |
| 6 | 10 | |
| 7 | 0 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 5 | |
| 13 | 30 | |
| 14 | 13 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | Stomach action of osthole and its effect on two enzyme activities of Plutella xylostella larvae | 1 |
| 18 | Bioassay of Matrine and Its Effect on Two Enzyme Activities of Plutella xylostella Larvae | 2 |
| 19 | 6 | |
| 20 | [Ecological benefits of planting winter rapeseed in western China]. | 1 |
About Yuanyuan Pu
Yuanyuan Pu is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Media Technology, having authored 52 papers that have together received 266 indexed citations. Recurring topics across this work include Image Enhancement Techniques (9 papers), Computer Graphics and Visualization Techniques (8 papers) and Generative Adversarial Networks and Image Synthesis (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (27 citations), Computer Vision and Pattern Recognition (79 citations) and Plant Science (84 citations). Yuanyuan Pu has collaborated with scholars based in China, Ireland and Canada. Frequent co-authors include Dan Xu, Junyan Wu, Li Ma, Lijun Liu, Yu Mei Chang, Yan Fang, Zheng Guan, Jing Bai, Hongwei Ding and Jeffrey A. Coulter. Their work appears in journals such as Food Chemistry, International Journal of Molecular Sciences and Frontiers in Plant Science.
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.