Kaixuan Ji
About
In The Last Decade
Kaixuan Ji
15 papers receiving 445 citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Artificial Intelligence 294
- Information Systems 112
- Computer Vision and Pattern Recognition 97
- Computer Networks and Communications 61
- Electrical and Electronic Engineering 43
Countries citing papers authored by Kaixuan Ji
This map shows the geographic impact of Kaixuan Ji'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 Kaixuan Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaixuan Ji more than expected).
Fields of papers citing papers by Kaixuan Ji
This network shows the impact of papers produced by Kaixuan Ji. 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 Kaixuan Ji. The network helps show where Kaixuan Ji may publish in the future.
Co-authorship network of co-authors of Kaixuan Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Kaixuan Ji. A scholar is included among the top collaborators of Kaixuan Ji 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 Kaixuan Ji. Kaixuan Ji is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks breakdown → | 369 |
| 3 | 6 | |
| 4 | 5 | |
| 5 | 5 | |
| 6 | 24 | |
| 7 | 3 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 18 | |
| 13 | 1 | |
| 14 | 3 | |
| 15 | 6 |
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.