Jimeng Sun
About
In The Last Decade
Jimeng Sun
272 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 191
- Artificial Intelligence 6.6k
- Molecular Biology 2.1k
- Computer Vision and Pattern Recognition 1.9k
- Statistical and Nonlinear Physics 1.8k
- Information Systems 1.7k
Countries citing papers authored by Jimeng Sun
This map shows the geographic impact of Jimeng Sun'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 Jimeng Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jimeng Sun more than expected).
Fields of papers citing papers by Jimeng Sun
This network shows the impact of papers produced by Jimeng Sun. 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 Jimeng Sun. The network helps show where Jimeng Sun may publish in the future.
Co-authorship network of co-authors of Jimeng Sun
This figure shows the co-authorship network connecting the top 25 collaborators of Jimeng Sun. A scholar is included among the top collaborators of Jimeng Sun 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 Jimeng Sun. Jimeng Sun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | DRG-LLaMA : tuning LLaMA model to predict diagnosis-related group for hospitalized patients breakdown → | 55 |
| 7 | Matching patients to clinical trials with large language models breakdown → | 78 |
| 8 | 17 | |
| 9 | 12 | |
| 10 | 11 | |
| 11 | 90 | |
| 12 | 128 | |
| 13 | 10 | |
| 14 | Generating Multi-label Discrete Electronic Health Records using Generative Adversarial Networks. | 24 |
| 15 | 57 | |
| 16 | 77 | |
| 17 | 55 | |
| 18 | 64 | |
| 19 | Abstract 12035: Text and Data Mining of Longitudinal Electronic Health Records (EHRs) in a Primary Care Population Can Identify Heart Failure (HF) Patients Months to Years Prior to Formal Diagnosis Using the Framingham Criteria | 3 |
| 20 | 74 |
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.