Guangyuan Fu
- Molecular Biology
- Cancer Research top 10%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Computational Theory and Mathematics top 10%
- Topics
- Bioinformatics and Genomic Networks (9 papers)Machine Learning in Bioinformatics (6 papers)Face and Expression Recognition (5 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Guangyuan Fu
27 papers receiving 569 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 325
- Cancer Research 255
- Computer Vision and Pattern Recognition 84
- Artificial Intelligence 64
- Computational Theory and Mathematics 36
Countries citing papers authored by Guangyuan Fu
This map shows the geographic impact of Guangyuan Fu'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 Guangyuan Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangyuan Fu more than expected).
Fields of papers citing papers by Guangyuan Fu
This network shows the impact of papers produced by Guangyuan Fu. 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 Guangyuan Fu. The network helps show where Guangyuan Fu may publish in the future.
Co-authorship network of co-authors of Guangyuan Fu
This figure shows the co-authorship network connecting the top 25 collaborators of Guangyuan Fu. A scholar is included among the top collaborators of Guangyuan Fu 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 Guangyuan Fu. Guangyuan Fu 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 | 1 | |
| 3 | 38 | |
| 4 | 40 | |
| 5 | 32 | |
| 6 | 5 | |
| 7 | 10 | |
| 8 | 13 | |
| 9 | 71 | |
| 10 | 170 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 11 | |
| 14 | 1 | |
| 15 | 4 | |
| 16 | 32 | |
| 17 | 36 | |
| 18 | 3 | |
| 19 | 34 | |
| 20 | A Parallel Algorithm of Image Edge Extraction Based on the Sobel Decomposing Model | 2 |
About Guangyuan Fu
Guangyuan Fu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Cancer Research, having authored 28 papers that have together received 579 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (9 papers), Machine Learning in Bioinformatics (6 papers) and Face and Expression Recognition (5 papers). The work is most often cited by research in Cancer Research (255 citations), Molecular Biology (325 citations) and Computer Vision and Pattern Recognition (84 citations). Guangyuan Fu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guoxian Yu, Jun Wang, Carlotta Domeniconi, Maozu Guo, Yazhou Ren, Hailong Zhu, Rongrong Ni, Zhuo Zhang, Xiaoyuan Yang and Bo Yang. Their work appears in journals such as Bioinformatics, IEEE Transactions on Image Processing and IEEE Access.
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.