Gaoyun An
About
In The Last Decade
Gaoyun An
98 papers receiving 931 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 778
- Artificial Intelligence 276
- Experimental and Cognitive Psychology 132
- Biomedical Engineering 106
- Human-Computer Interaction 96
Countries citing papers authored by Gaoyun An
This map shows the geographic impact of Gaoyun An'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 Gaoyun An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaoyun An more than expected).
Fields of papers citing papers by Gaoyun An
This network shows the impact of papers produced by Gaoyun An. 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 Gaoyun An. The network helps show where Gaoyun An may publish in the future.
Co-authorship network of co-authors of Gaoyun An
This figure shows the co-authorship network connecting the top 25 collaborators of Gaoyun An. A scholar is included among the top collaborators of Gaoyun An 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 Gaoyun An. Gaoyun An 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 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 15 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 5 | |
| 11 | 0 | |
| 12 | 39 | |
| 13 | 17 | |
| 14 | 28 | |
| 15 | 1 | |
| 16 | 45 | |
| 17 | 28 | |
| 18 | 8 | |
| 19 | A UNIFIED BLOCK AND STREAM CIPHER BASED FILE ENCRYPTION | 1 |
| 20 | Enhanced TV-based Quotient Image Model and Its Application to Face Recognition with One Sample per Subject Employing Subspace Methods | 1 |
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.