Ling Zhang
- Oncology top 1%
- Artificial Intelligence top 0.5%
- Radiology, Nuclear Medicine and Imaging top 1%
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 5%
- Co-authors
- Cindy DelbrookTerry J. FryMaryalice Stetler‐StevensonNirali N. ShahConstance M. YuanCrystal L. MackallJames N. KochenderferSteven A. Rosenberg
- Topics
- Radiomics and Machine Learning in Medical Imaging (18 papers)AI in cancer detection (15 papers)Coronary Interventions and Diagnostics (9 papers)
- Partner nations
- ChinaUnited StatesCzechia
In The Last Decade
Ling Zhang
184 papers receiving 5.9k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Oncology 2.5k
- Artificial Intelligence 1.4k
- Radiology, Nuclear Medicine and Imaging 1.2k
- Computer Vision and Pattern Recognition 1.1k
- Biomedical Engineering 915
Countries citing papers authored by Ling Zhang
This map shows the geographic impact of Ling Zhang'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 Ling Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ling Zhang more than expected).
Fields of papers citing papers by Ling Zhang
This network shows the impact of papers produced by Ling Zhang. 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 Ling Zhang. The network helps show where Ling Zhang may publish in the future.
Co-authorship network of co-authors of Ling Zhang
This figure shows the co-authorship network connecting the top 25 collaborators of Ling Zhang. A scholar is included among the top collaborators of Ling Zhang 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 Ling Zhang. Ling Zhang 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 | 16 | |
| 3 | 10 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 14 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 36 | |
| 12 | 27 | |
| 13 | 7 | |
| 14 | 8 | |
| 15 | 74 | |
| 16 | Generalizing Deep Learning for Medical Image Segmentation to Unseen Domains via Deep Stacked Transformationbreakdown → | 288 |
| 17 | 1 | |
| 18 | 2 | |
| 19 | Information Sharing in Supply Chain: A Review | 5 |
| 20 | Integrated thinking of product color design | 0 |
About Ling Zhang
Ling Zhang is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Oncology, having authored 203 papers that have together received 6.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (18 papers), AI in cancer detection (15 papers) and Coronary Interventions and Diagnostics (9 papers). The work is most often cited by research in Oncology (2.5k citations), Computer Vision and Pattern Recognition (1.1k citations) and Radiology, Nuclear Medicine and Imaging (1.2k citations). Ling Zhang has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Cindy Delbrook, Terry J. Fry, Maryalice Stetler‐Stevenson, Nirali N. Shah, Constance M. Yuan, Crystal L. Mackall, James N. Kochenderfer, Steven A. Rosenberg, Daniel W Lee and Hua Zhang. Their work appears in journals such as The Lancet, Angewandte Chemie International Edition and Journal of Clinical Oncology.
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.