Zihang Jiang
About
In The Last Decade
Zihang Jiang
17 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 133
- Computer Vision and Pattern Recognition 1.2k
- Artificial Intelligence 570
- Media Technology 263
- Electrical and Electronic Engineering 194
- Radiology, Nuclear Medicine and Imaging 156
Countries citing papers authored by Zihang Jiang
This map shows the geographic impact of Zihang Jiang'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 Zihang Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zihang Jiang more than expected).
Fields of papers citing papers by Zihang Jiang
This network shows the impact of papers produced by Zihang Jiang. 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 Zihang Jiang. The network helps show where Zihang Jiang may publish in the future.
Co-authorship network of co-authors of Zihang Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Zihang Jiang. A scholar is included among the top collaborators of Zihang Jiang 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 Zihang Jiang. Zihang Jiang 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 | 0 | |
| 3 | 3 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 7 | |
| 8 | 0 | |
| 9 | 8 | |
| 10 | 11 | |
| 11 | 12 | |
| 12 | 19 | |
| 13 | VOLO: Vision Outlooker for Visual Recognition breakdown → | 183 |
| 14 | 31 | |
| 15 | Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet | 17 |
| 16 | Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet breakdown → | 1414 |
| 17 | ConvBERT: Improving BERT with Span-based Dynamic Convolution | 7 |
| 18 | 3 | |
| 19 | 75 | |
| 20 | 66 |
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.