Aoyu Wu
Impact in
-
- Data Visualization and Analytics
- Video Analysis and Summarization
- Image Retrieval and Classification Techniques
- Image and Video Quality Assessment
- Human-Computer Interaction top 10%
Papers in
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- Data Visualization and Analytics 20
- Video Analysis and Summarization 12
- Image and Video Quality Assessment 4
- Co-authors
- Huamin QuYun WangXinhuan ShuHaidong ZhangDongmei ZhangWeiwei CuiYong WangDominik Moritz
- Journals
- IEEE Transactions on Visualization and Computer Graphics (13 papers)IEEE Computer Graphics and Applications (1 paper)Computer Graphics Forum (1 paper)Rare & Special e-Zone (The Hong Kong University of Science and Technology) (5 papers)CHI Conference on Human Factors in Computing Systems (2 papers)
- Partner nations
- Hong KongUnited StatesChina
In The Last Decade
Aoyu Wu
22 papers receiving 518 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 388
- Human-Computer Interaction 37
- Information Systems and Management 35
- Artificial Intelligence 156
- Signal Processing 51
Countries citing papers authored by Aoyu Wu
This map shows the geographic impact of Aoyu 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 Aoyu Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aoyu Wu more than expected).
Fields of papers citing papers by Aoyu Wu
This network shows the impact of papers produced by Aoyu 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 Aoyu Wu. The network helps show where Aoyu Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Aoyu Wu, 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 | 10 | |
| 3 | 2023 | 37 | |
| 4 | 2023 | 6 | |
| 5 | 2023 | 26 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 17 | |
| 8 | 2022 | 10 | |
| 9 | 2022 | 23 | |
| 10 | 2022 | 28 | |
| 11 | 2022 | 19 | |
| 12 | 2022 | 25 | |
| 13 | 2022 | 6 | |
| 14 | 2021 | 111 | |
| 15 | 2021 | 17 | |
| 16 | 2021 | 36 | |
| 17 | 2020 | 39 | |
| 18 | 2019 | 4 | |
| 19 | 2019 | 34 | |
| 20 | 2018 | 24 |
About Aoyu Wu
Aoyu Wu is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Artificial Intelligence, Ecological Modeling and Language and Linguistics, having authored 22 papers that have together received 529 indexed citations. Recurring topics across this work include Data Visualization and Analytics (20 papers), Video Analysis and Summarization (12 papers), Image and Video Quality Assessment (4 papers), Data Analysis with R (4 papers), Multimedia Communication and Technology (4 papers), Advanced Text Analysis Techniques (3 papers), Subtitles and Audiovisual Media (2 papers) and Mobile Crowdsensing and Crowdsourcing (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (388 citations), Human-Computer Interaction (37 citations), Information Systems and Management (35 citations), Artificial Intelligence (156 citations) and Signal Processing (51 citations). Aoyu Wu has collaborated with scholars based in Hong Kong, United States and China. Frequent co-authors include Huamin Qu, Yun Wang, Xinhuan Shu, Haidong Zhang, Dongmei Zhang, Weiwei Cui, Yong Wang, Dominik Moritz, Yingcai Wu and Haotian Li. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, Computer Graphics Forum, Rare & Special e-Zone (The Hong Kong University of Science and Technology) and CHI Conference on Human Factors in Computing Systems.
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.