Yu Ji
- Artificial Intelligence top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Electrical and Electronic Engineering top 10%
- Computer Vision and Pattern Recognition top 5%
- Cellular and Molecular Neuroscience
- Co-authors
- Peifang LiuYuan XieYouhui ZhangHui LiMaryellen L. GigerWenjuan MaWenguang ChenHeather M. Whitney
- Topics
- Radiomics and Machine Learning in Medical Imaging (14 papers)Advanced Memory and Neural Computing (12 papers)AI in cancer detection (12 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Yu Ji
39 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 464
- Radiology, Nuclear Medicine and Imaging 411
- Electrical and Electronic Engineering 387
- Computer Vision and Pattern Recognition 144
- Cellular and Molecular Neuroscience 89
Countries citing papers authored by Yu Ji
This map shows the geographic impact of Yu Ji'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 Yu Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu Ji more than expected).
Fields of papers citing papers by Yu Ji
This network shows the impact of papers produced by Yu Ji. 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 Yu Ji. The network helps show where Yu Ji may publish in the future.
Co-authorship network of co-authors of Yu Ji
This figure shows the co-authorship network connecting the top 25 collaborators of Yu Ji. A scholar is included among the top collaborators of Yu Ji 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 Yu Ji. Yu Ji 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 | 5 | |
| 3 | 0 | |
| 4 | 15 | |
| 5 | 21 | |
| 6 | 16 | |
| 7 | 144 | |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 41 | |
| 11 | 54 | |
| 12 | 45 | |
| 13 | 3 | |
| 14 | TETRIS: TilE-matching the TRemendous Irregular Sparsity | 19 |
| 15 | 106 | |
| 16 | 79 | |
| 17 | 39 | |
| 18 | 35 | |
| 19 | 20 | |
| 20 | 32 |
About Yu Ji
Yu Ji is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Hardware and Architecture, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (14 papers), Advanced Memory and Neural Computing (12 papers) and AI in cancer detection (12 papers). The work is most often cited by research in Health Informatics (24 citations), Radiology, Nuclear Medicine and Imaging (411 citations) and Artificial Intelligence (464 citations). Yu Ji has collaborated with scholars based in China and United States. Frequent co-authors include Peifang Liu, Yuan Xie, Youhui Zhang, Hui Li, Maryellen L. Giger, Wenjuan Ma, Wenguang Chen, Heather M. Whitney, Peng Qu and Shuangchen Li. Their work appears in journals such as Nature, Proceedings of the IEEE and 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.