Ziqi Yuan
About
In The Last Decade
Ziqi Yuan
19 papers receiving 695 citations
Hit Papers
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 492
- Experimental and Cognitive Psychology 195
- Computer Vision and Pattern Recognition 145
- Signal Processing 120
- Electrical and Electronic Engineering 46
Countries citing papers authored by Ziqi Yuan
This map shows the geographic impact of Ziqi Yuan'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 Ziqi Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziqi Yuan more than expected).
Fields of papers citing papers by Ziqi Yuan
This network shows the impact of papers produced by Ziqi Yuan. 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 Ziqi Yuan. The network helps show where Ziqi Yuan may publish in the future.
Co-authorship network of co-authors of Ziqi Yuan
This figure shows the co-authorship network connecting the top 25 collaborators of Ziqi Yuan. A scholar is included among the top collaborators of Ziqi Yuan 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 Ziqi Yuan. Ziqi Yuan 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 | 1 | |
| 5 | 4 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 31 | |
| 9 | 5 | |
| 10 | 9 | |
| 11 | 11 | |
| 12 | 26 | |
| 13 | 34 | |
| 14 | 7 | |
| 15 | 12 | |
| 16 | 9 | |
| 17 | 22 | |
| 18 | Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis breakdown → | 388 |
| 19 | 4 | |
| 20 | 46 |
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.