Yubing Tong
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Surgery
- Artificial Intelligence top 10%
- Co-authors
- Jayaram K. UdupaDrew A. TorigianDewey OdhnerJinlong YangHaifei ZhangCaiyun WuJoseph M. McDonoughRaanan Arens
- Topics
- Medical Image Segmentation Techniques (26 papers)Radiomics and Machine Learning in Medical Imaging (24 papers)Medical Imaging and Analysis (20 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingIndustrial and Manufacturing Engineering
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Bone and Joint Surgery
- Partner nations
- United StatesChinaPoland
In The Last Decade
Yubing Tong
107 papers receiving 948 citations
Peers
Comparison fields: 5 of 118
- Computer Vision and Pattern Recognition 333
- Radiology, Nuclear Medicine and Imaging 299
- Biomedical Engineering 178
- Surgery 174
- Artificial Intelligence 113
Countries citing papers authored by Yubing Tong
This map shows the geographic impact of Yubing Tong'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 Yubing Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yubing Tong more than expected).
Fields of papers citing papers by Yubing Tong
This network shows the impact of papers produced by Yubing Tong. 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 Yubing Tong. The network helps show where Yubing Tong may publish in the future.
Co-authorship network of co-authors of Yubing Tong
This figure shows the co-authorship network connecting the top 25 collaborators of Yubing Tong. A scholar is included among the top collaborators of Yubing Tong 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 Yubing Tong. Yubing Tong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 3 | |
| 9 | 3 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 32 | |
| 14 | 25 | |
| 15 | 18 | |
| 16 | 19 | |
| 17 | 6 | |
| 18 | 24 | |
| 19 | 49 | |
| 20 | 4 |
About Yubing Tong
Yubing Tong is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 119 papers that have together received 972 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (26 papers), Radiomics and Machine Learning in Medical Imaging (24 papers) and Medical Imaging and Analysis (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (333 citations), Radiology, Nuclear Medicine and Imaging (299 citations) and Industrial and Manufacturing Engineering (67 citations). Yubing Tong has collaborated with scholars based in United States, China and Poland. Frequent co-authors include Jayaram K. Udupa, Drew A. Torigian, Dewey Odhner, Jinlong Yang, Haifei Zhang, Caiyun Wu, Joseph M. McDonough, Raanan Arens, Sanghun Sin and Faouzi Alaya Cheikh. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Bone and Joint Surgery.
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.