Jue Xue
About
In The Last Decade
Jue Xue
8 papers receiving 173 citations
Peers
Comparison fields: 5 of 28
- Computational Theory and Mathematics 96
- Industrial and Manufacturing Engineering 80
- Computer Networks and Communications 53
- Management Science and Operations Research 36
- Artificial Intelligence 31
Countries citing papers authored by Jue Xue
This map shows the geographic impact of Jue Xue'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 Jue Xue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jue Xue more than expected).
Fields of papers citing papers by Jue Xue
This network shows the impact of papers produced by Jue Xue. 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 Jue Xue. The network helps show where Jue Xue may publish in the future.
Co-authorship network of co-authors of Jue Xue
This figure shows the co-authorship network connecting the top 25 collaborators of Jue Xue. A scholar is included among the top collaborators of Jue Xue 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 Jue Xue. Jue Xue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 33 | |
| 2 | 8 | |
| 3 | 7 | |
| 4 | 51 | |
| 5 | 19 | |
| 6 | 36 | |
| 7 | Fast algorithms for vertex packing and related problems | 6 |
| 8 | 34 |
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.