Dongju Liu
About
In The Last Decade
Dongju Liu
14 papers receiving 276 citations
Peers
Comparison fields: 5 of 106
- Computer Vision and Pattern Recognition 84
- Endocrinology, Diabetes and Metabolism 43
- Biomedical Engineering 35
- Molecular Biology 34
- Artificial Intelligence 34
Countries citing papers authored by Dongju Liu
This map shows the geographic impact of Dongju Liu'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 Dongju Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongju Liu more than expected).
Fields of papers citing papers by Dongju Liu
This network shows the impact of papers produced by Dongju Liu. 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 Dongju Liu. The network helps show where Dongju Liu may publish in the future.
Co-authorship network of co-authors of Dongju Liu
This figure shows the co-authorship network connecting the top 25 collaborators of Dongju Liu. A scholar is included among the top collaborators of Dongju Liu 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 Dongju Liu. Dongju Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 6 | |
| 9 | 13 | |
| 10 | 15 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | 2 | |
| 14 | 31 | |
| 15 | 6 | |
| 16 | 0 | |
| 17 | 200 |
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.