Xia Hu
About
In The Last Decade
Xia Hu
229 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 207
- Artificial Intelligence 5.6k
- Information Systems 2.6k
- Computer Vision and Pattern Recognition 1.6k
- Statistical and Nonlinear Physics 1.4k
- Computer Networks and Communications 1.0k
Countries citing papers authored by Xia Hu
This map shows the geographic impact of Xia Hu'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 Xia Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xia Hu more than expected).
Fields of papers citing papers by Xia Hu
This network shows the impact of papers produced by Xia Hu. 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 Xia Hu. The network helps show where Xia Hu may publish in the future.
Co-authorship network of co-authors of Xia Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Xia Hu. A scholar is included among the top collaborators of Xia Hu 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 Xia Hu. Xia Hu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 10 | |
| 7 | Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond breakdown → | 237 |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 7 | |
| 11 | 18 | |
| 12 | 10 | |
| 13 | 61 | |
| 14 | 5 | |
| 15 | 2 | |
| 16 | 15 | |
| 17 | Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural Networks breakdown → | 759 |
| 18 | 45 | |
| 19 | 123 | |
| 20 | 11 |
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.