Tianxi Ji
About
In The Last Decade
Tianxi Ji
23 papers receiving 351 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 210
- Computer Networks and Communications 123
- Information Systems 94
- Signal Processing 63
- Computer Vision and Pattern Recognition 49
Countries citing papers authored by Tianxi Ji
This map shows the geographic impact of Tianxi 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 Tianxi Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tianxi Ji more than expected).
Fields of papers citing papers by Tianxi Ji
This network shows the impact of papers produced by Tianxi 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 Tianxi Ji. The network helps show where Tianxi Ji may publish in the future.
Co-authorship network of co-authors of Tianxi Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Tianxi Ji. A scholar is included among the top collaborators of Tianxi 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 Tianxi Ji. Tianxi 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 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 34 | |
| 8 | 13 | |
| 9 | 9 | |
| 10 | 4 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 57 | |
| 14 | 3 | |
| 15 | 23 | |
| 16 | 27 | |
| 17 | Differentially Private Community Detection in Attributed Social Networks. | 3 |
| 18 | 5 | |
| 19 | 3 | |
| 20 | Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach | 67 |
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.