Ming Yu
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Psychiatry and Mental health
- Co-authors
- Yingchun GuoXiaoke HaoAhmad AliSagnik ChakrabortyDaoqiang ZhangAndrew J. SaykinShannon L. RisacherYongjin Bao
- Topics
- Video Surveillance and Tracking Methods (10 papers)Attention Deficit Hyperactivity Disorder (6 papers)Heart Rate Variability and Autonomic Control (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Image ProcessingJournal of the American Academy of Child & Adolescent Psychiatry
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ming Yu
65 papers receiving 715 citations
Peers
Comparison fields: 5 of 121
- Computer Vision and Pattern Recognition 214
- Artificial Intelligence 148
- Computer Networks and Communications 121
- Electrical and Electronic Engineering 88
- Psychiatry and Mental health 87
Countries citing papers authored by Ming Yu
This map shows the geographic impact of Ming 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 Ming Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Yu more than expected).
Fields of papers citing papers by Ming Yu
This network shows the impact of papers produced by Ming 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 Ming Yu. The network helps show where Ming Yu may publish in the future.
Co-authorship network of co-authors of Ming Yu
This figure shows the co-authorship network connecting the top 25 collaborators of Ming Yu. A scholar is included among the top collaborators of Ming 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 Ming Yu. Ming 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 18 | |
| 6 | 0 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 23 | |
| 10 | 51 | |
| 11 | 3 | |
| 12 | 5 | |
| 13 | 2 | |
| 14 | 19 | |
| 15 | 127 | |
| 16 | 9 | |
| 17 | 12 | |
| 18 | 23 | |
| 19 | 2 | |
| 20 | 1 |
About Ming Yu
Ming Yu is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Leadership and Management, having authored 73 papers that have together received 741 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (10 papers), Attention Deficit Hyperactivity Disorder (6 papers) and Heart Rate Variability and Autonomic Control (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (214 citations), Neurology (83 citations) and Psychiatry and Mental health (87 citations). Ming Yu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yingchun Guo, Xiaoke Hao, Ahmad Ali, Sagnik Chakraborty, Daoqiang Zhang, Andrew J. Saykin, Shannon L. Risacher, Yongjin Bao, Xiaohui Yao and Jie Li. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Journal of the American Academy of Child & Adolescent Psychiatry.
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.