Yongyi Yang
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Molecular Biology
- Pulmonary and Respiratory Medicine
- Co-authors
- Jun XuJinshan TangIssam El NaqaRangaraj M. RangayyanRobert M. NishikawaI. El-NaqaAndrew Evansİmam Şamil Yetik
- Topics
- AI in cancer detection (3 papers)Image Retrieval and Classification Techniques (2 papers)Retinal Imaging and Analysis (1 paper)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceRadiology, Nuclear Medicine and Imaging
- Journals
- IEEE Transactions on Image ProcessingIEEE Transactions on Medical ImagingPediatric Radiology
- Partner nations
- United StatesCanadaHong Kong
In The Last Decade
Yongyi Yang
4 papers receiving 894 citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Artificial Intelligence 648
- Computer Vision and Pattern Recognition 451
- Radiology, Nuclear Medicine and Imaging 360
- Molecular Biology 155
- Pulmonary and Respiratory Medicine 104
Countries citing papers authored by Yongyi Yang
This map shows the geographic impact of Yongyi Yang'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 Yongyi Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yongyi Yang more than expected).
Fields of papers citing papers by Yongyi Yang
This network shows the impact of papers produced by Yongyi Yang. 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 Yongyi Yang. The network helps show where Yongyi Yang may publish in the future.
Co-authorship network of co-authors of Yongyi Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Yongyi Yang. A scholar is included among the top collaborators of Yongyi Yang 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 Yongyi Yang. Yongyi Yang 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 | 103 | |
| 4 | Computer-Aided Detection and Diagnosis of Breast Cancer With Mammography: Recent Advancesbreakdown → | 431 |
| 5 | 19 | |
| 6 | 423 |
About Yongyi Yang
Yongyi Yang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 6 papers that have together received 976 indexed citations. Recurring topics across this work include AI in cancer detection (3 papers), Image Retrieval and Classification Techniques (2 papers) and Retinal Imaging and Analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (451 citations), Artificial Intelligence (648 citations) and Radiology, Nuclear Medicine and Imaging (360 citations). Yongyi Yang has collaborated with scholars based in United States, Canada and Hong Kong. Frequent co-authors include Jun Xu, Jinshan Tang, Issam El Naqa, Rangaraj M. Rangayyan, Robert M. Nishikawa, I. El-Naqa, Andrew Evans, İmam Şamil Yetik, John Trachtenberg and Masoom A. Haider. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and Pediatric Radiology.
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.