Long Guo
About
In The Last Decade
Long Guo
28 papers receiving 494 citations
Peers
Comparison fields: 5 of 61
- Artificial Intelligence 177
- Information Systems 125
- Cardiology and Cardiovascular Medicine 115
- Signal Processing 110
- Computer Networks and Communications 107
Countries citing papers authored by Long Guo
This map shows the geographic impact of Long 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 Long Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Guo more than expected).
Fields of papers citing papers by Long Guo
This network shows the impact of papers produced by Long 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 Long Guo. The network helps show where Long Guo may publish in the future.
Co-authorship network of co-authors of Long Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Long Guo. A scholar is included among the top collaborators of Long 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 Long Guo. Long 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 | 36 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 70 | |
| 5 | 20 | |
| 6 | 7 | |
| 7 | 15 | |
| 8 | 4 | |
| 9 | 8 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 8 | |
| 13 | 1 | |
| 14 | 16 | |
| 15 | 3 | |
| 16 | 14 | |
| 17 | 47 | |
| 18 | 23 | |
| 19 | 12 | |
| 20 | 6 |
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.