Yingmei Jia
- Radiology, Nuclear Medicine and Imaging top 5%
- Hepatology top 5%
- Pulmonary and Respiratory Medicine
- Oncology
- Epidemiology
- Co-authors
- Shi‐Ting FengBin LiMing KuangXin LiMimi TangSui PengYang HouShuling Chen
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)Hepatocellular Carcinoma Treatment and Prognosis (5 papers)MRI in cancer diagnosis (3 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Yingmei Jia
9 papers receiving 370 citations
Peers
Comparison fields: 5 of 37
- Radiology, Nuclear Medicine and Imaging 309
- Hepatology 242
- Pulmonary and Respiratory Medicine 87
- Oncology 82
- Epidemiology 54
Countries citing papers authored by Yingmei Jia
This map shows the geographic impact of Yingmei Jia'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 Yingmei Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingmei Jia more than expected).
Fields of papers citing papers by Yingmei Jia
This network shows the impact of papers produced by Yingmei Jia. 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 Yingmei Jia. The network helps show where Yingmei Jia may publish in the future.
Co-authorship network of co-authors of Yingmei Jia
This figure shows the co-authorship network connecting the top 25 collaborators of Yingmei Jia. A scholar is included among the top collaborators of Yingmei Jia 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 Yingmei Jia. Yingmei Jia 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 | 23 | |
| 3 | 159 | |
| 4 | 125 | |
| 5 | 24 | |
| 6 | 6 | |
| 7 | 10 | |
| 8 | 3 | |
| 9 | 17 | |
| 10 | 10 |
About Yingmei Jia
Yingmei Jia is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Obstetrics and Gynecology, having authored 10 papers that have together received 377 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Hepatocellular Carcinoma Treatment and Prognosis (5 papers) and MRI in cancer diagnosis (3 papers). The work is most often cited by research in Hepatology (242 citations), Radiology, Nuclear Medicine and Imaging (309 citations) and Health Informatics (7 citations). Yingmei Jia has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Shi‐Ting Feng, Bin Li, Ming Kuang, Xin Li, Mimi Tang, Sui Peng, Yang Hou, Shuling Chen, Jie Tian and Fei Liu. Their work appears in journals such as BMC Cancer, European Radiology and Frontiers in 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.