Haiyan Yu
- Health, Toxicology and Mutagenesis top 5%
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- General Health Professions top 10%
- Materials Chemistry
- Co-authors
- Jiulun FanHang QiuLiya WangJying‐Nan WangYa-Ling ChiuYuan‐Teng HsuJingping PanYanlong Zhang
- Topics
- Advanced Clustering Algorithms Research (10 papers)Face and Expression Recognition (8 papers)Medical Image Segmentation Techniques (6 papers)
- Cited by
- Health, Toxicology and MutagenesisObstetrics and GynecologyComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEThe Science of The Total Environment
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Haiyan Yu
74 papers receiving 864 citations
Peers
Comparison fields: 5 of 143
- Health, Toxicology and Mutagenesis 172
- Artificial Intelligence 144
- Computer Vision and Pattern Recognition 118
- General Health Professions 100
- Materials Chemistry 77
Countries citing papers authored by Haiyan Yu
This map shows the geographic impact of Haiyan Yu'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 Haiyan Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiyan Yu more than expected).
Fields of papers citing papers by Haiyan Yu
This network shows the impact of papers produced by Haiyan Yu. 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 Haiyan Yu. The network helps show where Haiyan Yu may publish in the future.
Co-authorship network of co-authors of Haiyan Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Haiyan Yu. A scholar is included among the top collaborators of Haiyan Yu 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 Haiyan Yu. Haiyan Yu 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 | 2 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 14 | |
| 10 | 4 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 4 | |
| 14 | 16 | |
| 15 | 54 | |
| 16 | 53 | |
| 17 | 10 | |
| 18 | Money demand function with asymmetric adjustment: Evidence on Brazil, Russia, India and China (BRICs) | 1 |
| 19 | 8 | |
| 20 | Some Marine Isopods (Crustacea) from Hainan Island, South China Sea | 4 |
About Haiyan Yu
Haiyan Yu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Health Informatics, having authored 86 papers that have together received 878 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (10 papers), Face and Expression Recognition (8 papers) and Medical Image Segmentation Techniques (6 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (172 citations), Obstetrics and Gynecology (53 citations) and Computer Vision and Pattern Recognition (118 citations). Haiyan Yu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jiulun Fan, Hang Qiu, Liya Wang, Jying‐Nan Wang, Ya-Ling Chiu, Yuan‐Teng Hsu, Jingping Pan, Yanlong Zhang, Li Zhou and Man Xu. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Science of The Total Environment.
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.