Ziyan Wu
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Biomedical Engineering
- Radiology, Nuclear Medicine and Imaging top 10%
- Electrical and Electronic Engineering
- Co-authors
- Richard J. RadkeSrikrishna KaranamTerrence ChenYang LiDavid DoermannXuan GongJan ErnstKuan–Chuan Peng
- Topics
- Video Surveillance and Tracking Methods (12 papers)Advanced Vision and Imaging (11 papers)Human Pose and Action Recognition (8 papers)
- Journals
- Environmental Science & TechnologyImmunityIEEE Transactions on Pattern Analysis and Machine Intelligence
- Partner nations
- United StatesChinaCanada
In The Last Decade
Ziyan Wu
61 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 133
- Computer Vision and Pattern Recognition 519
- Artificial Intelligence 305
- Biomedical Engineering 193
- Radiology, Nuclear Medicine and Imaging 145
- Electrical and Electronic Engineering 105
Countries citing papers authored by Ziyan Wu
This map shows the geographic impact of Ziyan Wu'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 Ziyan Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ziyan Wu more than expected).
Fields of papers citing papers by Ziyan Wu
This network shows the impact of papers produced by Ziyan Wu. 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 Ziyan Wu. The network helps show where Ziyan Wu may publish in the future.
Co-authorship network of co-authors of Ziyan Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Ziyan Wu. A scholar is included among the top collaborators of Ziyan Wu 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 Ziyan Wu. Ziyan Wu 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 | 1 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 26 | |
| 12 | 1 | |
| 13 | 30 | |
| 14 | 89 | |
| 15 | 15 | |
| 16 | 26 | |
| 17 | 43 | |
| 18 | Multi-View Egocentric Video Summarization | 3 |
| 19 | Matching RGB Images to CAD Models for Object Pose Estimation. | 6 |
| 20 | 44 |
About Ziyan Wu
Ziyan Wu is a scholar working on Computer Vision and Pattern Recognition, Acoustics and Ultrasonics and Health Informatics, having authored 65 papers that have together received 1.1k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (12 papers), Advanced Vision and Imaging (11 papers) and Human Pose and Action Recognition (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (519 citations), Health Informatics (15 citations) and Artificial Intelligence (305 citations). Ziyan Wu has collaborated with scholars based in United States, China and Canada. Frequent co-authors include Richard J. Radke, Srikrishna Karanam, Terrence Chen, Yang Li, David Doermann, Xuan Gong, Jan Ernst, Kuan–Chuan Peng, Amit K. Roy–Chowdhury and Abir Das. Their work appears in journals such as Environmental Science & Technology, Immunity and IEEE Transactions on Pattern Analysis and Machine Intelligence.
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.