Fan Guo
- Information Systems top 2%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Computer Networks and Communications top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Christos FaloutsosChao LiuAnitha KannanMichael TaylorTom MinkaYi‐Min WangLei LiYinlong Xu
- Topics
- Advanced Image and Video Retrieval Techniques (8 papers)Advanced Data Storage Technologies (5 papers)Image Retrieval and Classification Techniques (5 papers)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Fan Guo
23 papers receiving 515 citations
Peers
Comparison fields: 5 of 58
- Information Systems 336
- Artificial Intelligence 183
- Computer Vision and Pattern Recognition 138
- Computer Networks and Communications 82
- Management Science and Operations Research 66
Countries citing papers authored by Fan Guo
This map shows the geographic impact of Fan Guo'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 Fan Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Guo more than expected).
Fields of papers citing papers by Fan Guo
This network shows the impact of papers produced by Fan Guo. 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 Fan Guo. The network helps show where Fan Guo may publish in the future.
Co-authorship network of co-authors of Fan Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Fan Guo. A scholar is included among the top collaborators of Fan Guo 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 Fan Guo. Fan Guo 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 | 1 | |
| 3 | People You May Know: Friend Recommendation, Network Formation, and Online Community Participation | 1 |
| 4 | 12 | |
| 5 | 6 | |
| 6 | 5 | |
| 7 | 3 | |
| 8 | Carbon footprint of farmers of different livelihood strategies in Gannan plateau | 2 |
| 9 | 1 | |
| 10 | 3 | |
| 11 | 4 | |
| 12 | 1 | |
| 13 | 72 | |
| 14 | 2 | |
| 15 | 14 | |
| 16 | 144 | |
| 17 | 162 | |
| 18 | 22 | |
| 19 | 39 | |
| 20 | 11 |
About Fan Guo
Fan Guo is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition and Hardware and Architecture, having authored 25 papers that have together received 531 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Advanced Data Storage Technologies (5 papers) and Image Retrieval and Classification Techniques (5 papers). The work is most often cited by research in Computational Mathematics (45 citations), Information Systems (336 citations) and Computer Science Applications (48 citations). Fan Guo has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Christos Faloutsos, Chao Liu, Chao Liu, Anitha Kannan, Michael Taylor, Tom Minka, Yi‐Min Wang, Chao Liu, Lei Li and Yinlong Xu. Their work appears in journals such as Journal of the American Chemical Society, Information Sciences and IEEE Transactions on Computers.
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.