Baochun Li
About
In The Last Decade
Baochun Li
8 papers receiving 428 citations
Peers
Comparison fields: 5 of 34
- Computer Networks and Communications 436
- Electrical and Electronic Engineering 106
- Computer Vision and Pattern Recognition 64
- Sociology and Political Science 49
- Artificial Intelligence 45
Countries citing papers authored by Baochun Li
This map shows the geographic impact of Baochun Li'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 Baochun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baochun Li more than expected).
Fields of papers citing papers by Baochun Li
This network shows the impact of papers produced by Baochun Li. 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 Baochun Li. The network helps show where Baochun Li may publish in the future.
Co-authorship network of co-authors of Baochun Li
This figure shows the co-authorship network connecting the top 25 collaborators of Baochun Li. A scholar is included among the top collaborators of Baochun Li 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 Baochun Li. Baochun Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 48 | |
| 2 | 59 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 68 | |
| 6 | 90 | |
| 7 | 181 | |
| 8 | 5 |
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.