Zudi Lin
- Media Technology top 0.5%
- Computer Vision and Pattern Recognition top 2%
- Aerospace Engineering top 10%
- Artificial Intelligence
- Biomedical Engineering
- Co-authors
- Yulun ZhangLuc Van GoolRadu TimofteZixiang ZhaoJiangshe ZhangHanspeter PfisterShuang XuHaowen Bai
- Topics
- Cell Image Analysis Techniques (4 papers)Advanced Image Processing Techniques (3 papers)Multimodal Machine Learning Applications (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceNature MethodsMethods in Ecology and Evolution
- Partner nations
- United StatesChinaGermany
In The Last Decade
Zudi Lin
13 papers receiving 796 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Media Technology 481
- Computer Vision and Pattern Recognition 474
- Aerospace Engineering 124
- Artificial Intelligence 56
- Biomedical Engineering 54
Countries citing papers authored by Zudi Lin
This map shows the geographic impact of Zudi Lin'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 Zudi Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zudi Lin more than expected).
Fields of papers citing papers by Zudi Lin
This network shows the impact of papers produced by Zudi Lin. 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 Zudi Lin. The network helps show where Zudi Lin may publish in the future.
Co-authorship network of co-authors of Zudi Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Zudi Lin. A scholar is included among the top collaborators of Zudi Lin 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 Zudi Lin. Zudi Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusionbreakdown → | 394 |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 2 | |
| 6 | 9 | |
| 7 | MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstructionbreakdown → | 172 |
| 8 | 1 | |
| 9 | 75 | |
| 10 | 8 | |
| 11 | 69 | |
| 12 | 10 | |
| 13 | 42 |
About Zudi Lin
Zudi Lin is a scholar working on Structural Biology, Biophysics and Computer Vision and Pattern Recognition, having authored 13 papers that have together received 811 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (4 papers), Advanced Image Processing Techniques (3 papers) and Multimodal Machine Learning Applications (3 papers). The work is most often cited by research in Media Technology (481 citations), Computer Vision and Pattern Recognition (474 citations) and Structural Biology (22 citations). Zudi Lin has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Yulun Zhang, Luc Van Gool, Radu Timofte, Zixiang Zhao, Jiangshe Zhang, Hanspeter Pfister, Shuang Xu, Haowen Bai, Yuanhao Cai and Haoqian Wang. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Methods and Methods in Ecology and Evolution.
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.