Ying Yu
Impact in
-
- Artificial Intelligence in Healthcare
- Artificial Intelligence top 5%
- Text and Document Classification Technologies
- Machine Learning in Healthcare
- Topic Modeling
Papers in
-
- Text and Document Classification Technologies 13
- Machine Learning in Healthcare 11
- Topic Modeling 10
-
- Advanced Neural Network Applications 6
- Video Surveillance and Tracking Methods 5
- Co-authors
- Duoqian Miao (14 shared papers)Min Li (12 shared papers)Witold Pedrycz (6 shared papers)Jianxin Wang (8 shared papers)Jin Qian (16 shared papers)Zhihui Fei (5 shared papers)Yaohang Li (4 shared papers)Liangliang Liu (2 shared papers)
- Journals
- International Journal of Approximate Reasoning (4 papers)Applied Intelligence (4 papers)Information Sciences (3 papers)International Journal of Machine Learning and Cybernetics (3 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Ying Yu
62 papers receiving 959 citations
Ying Yu's Hit Papers
Peers
Comparison fields: 5 of 136
- Health Information Management 103
- Artificial Intelligence 454
- Computer Vision and Pattern Recognition 203
- Computational Theory and Mathematics 153
- Information Systems 123
Countries citing papers authored by Ying Yu
This map shows the geographic impact of Ying 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 Ying Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Yu more than expected).
Fields of papers citing papers by Ying Yu
This network shows the impact of papers produced by Ying 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 Ying Yu. The network helps show where Ying Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Yu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 103 | |
| 2 | 2018 | 79 | |
| 3 | 2013 | 78 | |
| 4 | 2020 | 77 | |
| 5 | Feature selection for multi-label learning based on variable-degree multi-granulation decision-theoretic rough sets Hit paper breakdown → | 2024 | 69 |
| 6 | 2013 | 64 | |
| 7 | 2019 | 49 | |
| 8 | 2018 | 40 | |
| 9 | 2021 | 39 | |
| 10 | 2017 | 30 | |
| 11 | 2022 | 28 | |
| 12 | CrowdFPN: crowd counting via scale-enhanced and location-aware feature pyramid network Hit paper breakdown → | 2025 | 24 |
| 13 | 2021 | 22 | |
| 14 | 2019 | 21 | |
| 15 | 2020 | 21 | |
| 16 | 2014 | 18 | |
| 17 | 2023 | 15 | |
| 18 | 2024 | 13 | |
| 19 | 2023 | 12 | |
| 20 | 2022 | 12 |
About Ying Yu
Ying Yu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Information Systems and Molecular Biology, having authored 68 papers that have together received 977 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (13 papers), Rough Sets and Fuzzy Logic (13 papers), Machine Learning in Healthcare (11 papers), Topic Modeling (10 papers), Biomedical Text Mining and Ontologies (9 papers), Advanced Neural Network Applications (6 papers), Video Surveillance and Tracking Methods (5 papers) and Multi-Criteria Decision Making (5 papers). The work is most often cited by research in Health Information Management (103 citations), Artificial Intelligence (454 citations), Computer Vision and Pattern Recognition (203 citations), Computational Theory and Mathematics (153 citations) and Information Systems (123 citations). Ying Yu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Duoqian Miao, Min Li, Witold Pedrycz, Jianxin Wang, Jin Qian, Zhihui Fei, Yaohang Li, Liangliang Liu, Fang‐Xiang Wu and Min Zeng. Their work appears in journals such as International Journal of Approximate Reasoning, Applied Intelligence, Information Sciences, International Journal of Machine Learning and Cybernetics and IEEE Journal of Biomedical and Health Informatics.
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.