Ying Liang
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 10%
- Oncology
- Pulmonary and Respiratory Medicine
- Molecular Biology
- Co-authors
- Jun DengBradley J. NartowtGregory R. HartWazir MuhammadKimberly L. JohungJames J. FarrellYugang WangGen Yang
- Topics
- Radiomics and Machine Learning in Medical Imaging (10 papers)Advanced Radiotherapy Techniques (7 papers)Radiation Therapy and Dosimetry (6 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Ying Liang
57 papers receiving 654 citations
Peers
Comparison fields: 5 of 108
- Radiology, Nuclear Medicine and Imaging 298
- Artificial Intelligence 200
- Oncology 154
- Pulmonary and Respiratory Medicine 152
- Molecular Biology 74
Countries citing papers authored by Ying Liang
This map shows the geographic impact of Ying Liang'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 Liang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Liang more than expected).
Fields of papers citing papers by Ying Liang
This network shows the impact of papers produced by Ying Liang. 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 Liang. The network helps show where Ying Liang may publish in the future.
Co-authorship network of co-authors of Ying Liang
This figure shows the co-authorship network connecting the top 25 collaborators of Ying Liang. A scholar is included among the top collaborators of Ying Liang 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 Liang. Ying Liang 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 | 0 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 4 | |
| 8 | 5 | |
| 9 | 12 | |
| 10 | 3 | |
| 11 | 1 | |
| 12 | 46 | |
| 13 | 20 | |
| 14 | 3 | |
| 15 | 38 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 21 | |
| 19 | Discussion of Static Correction Approaches for Mountains in Southern Margin of Junggar Basin | 0 |
| 20 | Multisection dynamic CT perfusion for normal and tumorous pancreas | 1 |
About Ying Liang
Ying Liang is a scholar working on Radiation, Radiology, Nuclear Medicine and Imaging and Geology, having authored 66 papers that have together received 673 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (10 papers), Advanced Radiotherapy Techniques (7 papers) and Radiation Therapy and Dosimetry (6 papers). The work is most often cited by research in Health Informatics (58 citations), Radiology, Nuclear Medicine and Imaging (298 citations) and Radiation (68 citations). Ying Liang has collaborated with scholars based in China and United States. Frequent co-authors include Jun Deng, Bradley J. Nartowt, Gregory R. Hart, Wazir Muhammad, Kimberly L. Johung, James J. Farrell, Yugang Wang, Gen Yang, Gowthaman Gunabushanam and Michael J. Kane. Their work appears in journals such as PLoS ONE, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.
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.