Yan Hu
- Computer Vision and Pattern Recognition top 10%
- Human-Computer Interaction top 5%
- Artificial Intelligence
- Information Systems top 10%
- Health Information Management top 5%
- Co-authors
- Guohua BaiVeronica SundstedtYang GuoHans‐Jürgen ZepernickZiliang WangGuangheng DongJialin ZhangKaicheng Zhu
- Topics
- Virtual Reality Applications and Impacts (14 papers)Image and Video Quality Assessment (10 papers)Advanced Optical Imaging Technologies (7 papers)
- Cited by
- Human-Computer InteractionHealth Information ManagementComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyEnvironmental Science and Pollution Research
- Partner nations
- SwedenChinaSaudi Arabia
In The Last Decade
Yan Hu
39 papers receiving 387 citations
Peers
Comparison fields: 5 of 113
- Computer Vision and Pattern Recognition 84
- Human-Computer Interaction 80
- Artificial Intelligence 77
- Information Systems 63
- Health Information Management 51
Countries citing papers authored by Yan Hu
This map shows the geographic impact of Yan Hu'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 Yan Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Hu more than expected).
Fields of papers citing papers by Yan Hu
This network shows the impact of papers produced by Yan Hu. 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 Yan Hu. The network helps show where Yan Hu may publish in the future.
Co-authorship network of co-authors of Yan Hu
This figure shows the co-authorship network connecting the top 25 collaborators of Yan Hu. A scholar is included among the top collaborators of Yan Hu 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 Yan Hu. Yan Hu 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 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 7 | |
| 10 | 5 | |
| 11 | 3 | |
| 12 | 11 | |
| 13 | 31 | |
| 14 | 21 | |
| 15 | 13 | |
| 16 | Future Directions of Applying Healthcare Cloud for Home-based Chronic Disease Care | 2 |
| 17 | 2 | |
| 18 | A cloud computing solution for sharing healthcare information | 16 |
| 19 | Using Bayes Network for Prediction of Type-2 diabetes | 45 |
| 20 | 12 |
About Yan Hu
Yan Hu is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Media Technology, having authored 48 papers that have together received 409 indexed citations. Recurring topics across this work include Virtual Reality Applications and Impacts (14 papers), Image and Video Quality Assessment (10 papers) and Advanced Optical Imaging Technologies (7 papers). The work is most often cited by research in Human-Computer Interaction (80 citations), Health Information Management (51 citations) and Computer Vision and Pattern Recognition (84 citations). Yan Hu has collaborated with scholars based in Sweden, China and Saudi Arabia. Frequent co-authors include Guohua Bai, Veronica Sundstedt, Yang Guo, Hans‐Jürgen Zepernick, Ziliang Wang, Guangheng Dong, Jialin Zhang, Kaicheng Zhu, Min Wang and Jianmeng Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Environmental Science and Pollution Research.
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.