Ran Jia
About
In The Last Decade
Ran Jia
27 papers receiving 305 citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 121
- Pulmonary and Respiratory Medicine 74
- Molecular Biology 40
- Radiology, Nuclear Medicine and Imaging 33
- Computer Vision and Pattern Recognition 30
Countries citing papers authored by Ran Jia
This map shows the geographic impact of Ran Jia'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 Ran Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Jia more than expected).
Fields of papers citing papers by Ran Jia
This network shows the impact of papers produced by Ran Jia. 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 Ran Jia. The network helps show where Ran Jia may publish in the future.
Co-authorship network of co-authors of Ran Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Ran Jia. A scholar is included among the top collaborators of Ran Jia 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 Ran Jia. Ran Jia 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 7 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | 5 | |
| 13 | 10 | |
| 14 | 20 | |
| 15 | 3 | |
| 16 | 7 | |
| 17 | 2 | |
| 18 | 27 | |
| 19 | 3 | |
| 20 | Improved Relation Classification by Deep Recurrent Neural Networks with Data Augmentation | 69 |
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.