Zizheng Yan
- Geology top 5%
- 3D Surveying and Cultural Heritage 2
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- Multimodal Machine Learning Applications 3
- Video Surveillance and Tracking Methods 2
- Computational Mechanics top 10%
- 3D Shape Modeling and Analysis 2
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- Domain Adaptation and Few-Shot Learning 3
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- COVID-19 diagnosis using AI 2
- Retinal Imaging and Analysis 1
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- Indoor and Outdoor Localization Technologies 1
- Journals
- Computers & Graphics (1 paper)IEEE Transactions on Image Processing (1 paper)Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Zizheng Yan
9 papers receiving 264 citations
Peers
Comparison fields: 5 of 46
- Geology 78
- Computer Graphics and Computer-Aided Design 32
- Computer Vision and Pattern Recognition 133
- Computational Mechanics 106
- Environmental Engineering 59
Countries citing papers authored by Zizheng Yan
This map shows the geographic impact of Zizheng Yan'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 Zizheng Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zizheng Yan more than expected).
Fields of papers citing papers by Zizheng Yan
This network shows the impact of papers produced by Zizheng Yan. 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 Zizheng Yan. The network helps show where Zizheng Yan may publish in the future.
Co-authorship network
The 19 scholars most cited alongside Zizheng Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 12 | |
| 3 | 2022 | 21 | |
| 4 | 2021 | 61 | |
| 5 | 2021 | 1 | |
| 6 | 2021 | 13 | |
| 7 | 2020 | 107 | |
| 8 | 2019 | 48 | |
| 9 | 2019 | 3 |
About Zizheng Yan
Zizheng Yan is a scholar working on Geology, Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Human-Computer Interaction and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 268 indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (3 papers), Domain Adaptation and Few-Shot Learning (3 papers), Video Surveillance and Tracking Methods (2 papers), 3D Surveying and Cultural Heritage (2 papers), COVID-19 diagnosis using AI (2 papers), 3D Shape Modeling and Analysis (2 papers), Retinal Imaging and Analysis (1 paper) and Indoor and Outdoor Localization Technologies (1 paper). The work is most often cited by research in Geology (78 citations), Computer Graphics and Computer-Aided Design (32 citations), Computer Vision and Pattern Recognition (133 citations), Computational Mechanics (106 citations) and Environmental Engineering (59 citations). Zizheng Yan has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Shuguang Cui, Xiaoguang Han, Yushuang Wu, Guanbin Li, Yiqun Lin, Haibin Huang, Dong Du, Ligang Liu, Changqing Zou and Changmiao Wang. Their work appears in journals such as Computers & Graphics, IEEE Transactions on Image Processing, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and ORCA Online Research @Cardiff (Cardiff University).
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.