Zhaoyi Wan
- Computer Vision and Pattern Recognition top 1%
- Media Technology top 1%
- Artificial Intelligence top 10%
- Information Systems
- Industrial and Manufacturing Engineering
- Co-authors
- Cong YaoXiang BaiMinghui LiaoKai ChenPengyuan LyuJian ZhangJiajun LiangHao Chen
- Topics
- Handwritten Text Recognition Techniques (5 papers)Advanced Image and Video Retrieval Techniques (4 papers)Perovskite Materials and Applications (2 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceJournal of materials research/Pratt's guide to venture capital sourcesMarine Drugs
- Partner nations
- ChinaIndiaUnited States
In The Last Decade
Zhaoyi Wan
10 papers receiving 868 citations
Hit Papers
Peers
Comparison fields: 5 of 73
- Computer Vision and Pattern Recognition 801
- Media Technology 344
- Artificial Intelligence 164
- Information Systems 36
- Industrial and Manufacturing Engineering 26
Countries citing papers authored by Zhaoyi Wan
This map shows the geographic impact of Zhaoyi Wan'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 Zhaoyi Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaoyi Wan more than expected).
Fields of papers citing papers by Zhaoyi Wan
This network shows the impact of papers produced by Zhaoyi Wan. 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 Zhaoyi Wan. The network helps show where Zhaoyi Wan may publish in the future.
Co-authorship network of co-authors of Zhaoyi Wan
This figure shows the co-authorship network connecting the top 25 collaborators of Zhaoyi Wan. A scholar is included among the top collaborators of Zhaoyi Wan 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 Zhaoyi Wan. Zhaoyi Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Real-Time Scene Text Detection With Differentiable Binarization and Adaptive Scale Fusionbreakdown → | 181 |
| 3 | 1 | |
| 4 | 12 | |
| 5 | 18 | |
| 6 | 36 | |
| 7 | 4 | |
| 8 | 78 | |
| 9 | Real-Time Scene Text Detection with Differentiable Binarizationbreakdown → | 414 |
| 10 | 148 |
About Zhaoyi Wan
Zhaoyi Wan is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Microbiology, having authored 10 papers that have together received 893 indexed citations. Recurring topics across this work include Handwritten Text Recognition Techniques (5 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Perovskite Materials and Applications (2 papers). The work is most often cited by research in Media Technology (344 citations), Computer Vision and Pattern Recognition (801 citations) and Artificial Intelligence (164 citations). Zhaoyi Wan has collaborated with scholars based in China, India and United States. Frequent co-authors include Cong Yao, Xiang Bai, Minghui Liao, Kai Chen, Pengyuan Lyu, Jian Zhang, Jiajun Liang, Hao Chen, Minghang He and Jiebo Luo. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of materials research/Pratt's guide to venture capital sources and Marine Drugs.
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.