Bencheng Liao
About
In The Last Decade
Bencheng Liao
7 papers receiving 143 citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 88
- Automotive Engineering 52
- Artificial Intelligence 29
- Aerospace Engineering 27
- Signal Processing 17
Countries citing papers authored by Bencheng Liao
This map shows the geographic impact of Bencheng Liao'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 Bencheng Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bencheng Liao more than expected).
Fields of papers citing papers by Bencheng Liao
This network shows the impact of papers produced by Bencheng Liao. 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 Bencheng Liao. The network helps show where Bencheng Liao may publish in the future.
Co-authorship network of co-authors of Bencheng Liao
This figure shows the co-authorship network connecting the top 25 collaborators of Bencheng Liao. A scholar is included among the top collaborators of Bencheng Liao 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 Bencheng Liao. Bencheng Liao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 3 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 42 | |
| 7 | 77 | |
| 8 | 18 |
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.