Ying Zhuge
- Computer Vision and Pattern Recognition top 1%
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 2%
- Surgery top 5%
- Pulmonary and Respiratory Medicine top 5%
- Co-authors
- Omaida C. VelázquezJayaram K. UdupaZhaojun LiuJuan E. SolaLeonidas G. KoniarisHerbert ChenDiane M. SimeoneJoyce Kaufman
- Topics
- Medical Image Segmentation Techniques (24 papers)Brain Tumor Detection and Classification (14 papers)Radiomics and Machine Learning in Medical Imaging (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaCirculation ResearchHepatology
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Ying Zhuge
90 papers receiving 3.1k citations
Hit Papers
Peers
Comparison fields: 5 of 167
- Computer Vision and Pattern Recognition 675
- Molecular Biology 604
- Radiology, Nuclear Medicine and Imaging 601
- Surgery 574
- Pulmonary and Respiratory Medicine 392
Countries citing papers authored by Ying Zhuge
This map shows the geographic impact of Ying Zhuge'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 Zhuge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Zhuge more than expected).
Fields of papers citing papers by Ying Zhuge
This network shows the impact of papers produced by Ying Zhuge. 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 Zhuge. The network helps show where Ying Zhuge may publish in the future.
Co-authorship network of co-authors of Ying Zhuge
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Zhuge. A scholar is included among the top collaborators of Ying Zhuge 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 Ying Zhuge. Ying Zhuge is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 8 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | 10 | |
| 7 | 13 | |
| 8 | 5 | |
| 9 | 15 | |
| 10 | 26 | |
| 11 | 8 | |
| 12 | 2 | |
| 13 | 36 | |
| 14 | 30 | |
| 15 | 40 | |
| 16 | 7 | |
| 17 | 28 | |
| 18 | 25 | |
| 19 | 26 | |
| 20 | 29 |
About Ying Zhuge
Ying Zhuge is a scholar working on Neurology, Genetics and Computer Vision and Pattern Recognition, having authored 97 papers that have together received 3.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (24 papers), Brain Tumor Detection and Classification (14 papers) and Radiomics and Machine Learning in Medical Imaging (12 papers). The work is most often cited by research in Gender Studies (370 citations), Computer Vision and Pattern Recognition (675 citations) and Genetics (307 citations). Ying Zhuge has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Omaida C. Velázquez, Jayaram K. Udupa, Zhaojun Liu, Juan E. Sola, Leonidas G. Koniaris, Herbert Chen, Diane M. Simeone, Joyce Kaufman, Eduardo A. Pérez and Anthony R. Hogan. Their work appears in journals such as SHILAP Revista de lepidopterología, Circulation Research and Hepatology.
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.