Qing Dai
- Surgery
- Radiology, Nuclear Medicine and Imaging top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Pulmonary and Respiratory Medicine
- Artificial Intelligence
- Co-authors
- Yuxin JiangQingli ZhuJi‐Bin LiuYang MengPin GaoBo ZhangQiang SunJing Zhang
- Topics
- MRI in cancer diagnosis (6 papers)Breast Lesions and Carcinomas (5 papers)Photoacoustic and Ultrasonic Imaging (3 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismRadiology, Nuclear Medicine and ImagingPathology and Forensic Medicine
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qing Dai
22 papers receiving 415 citations
Peers
Comparison fields: 5 of 56
- Surgery 146
- Radiology, Nuclear Medicine and Imaging 129
- Endocrinology, Diabetes and Metabolism 125
- Pulmonary and Respiratory Medicine 120
- Artificial Intelligence 83
Countries citing papers authored by Qing Dai
This map shows the geographic impact of Qing Dai'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 Qing Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Dai more than expected).
Fields of papers citing papers by Qing Dai
This network shows the impact of papers produced by Qing Dai. 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 Qing Dai. The network helps show where Qing Dai may publish in the future.
Co-authorship network of co-authors of Qing Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Dai. A scholar is included among the top collaborators of Qing Dai 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 Qing Dai. Qing Dai 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 | 14 | |
| 4 | 7 | |
| 5 | 12 | |
| 6 | 10 | |
| 7 | 2 | |
| 8 | 22 | |
| 9 | 86 | |
| 10 | 4 | |
| 11 | 18 | |
| 12 | 27 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 20 | |
| 17 | 9 | |
| 18 | [Application of real-time gray-scale contrast-enhanced ultrasound in the diagnosis of benign and malignant breast lesions]. | 1 |
| 19 | 27 | |
| 20 | 28 |
About Qing Dai
Qing Dai is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Obstetrics and Gynecology, having authored 24 papers that have together received 425 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (6 papers), Breast Lesions and Carcinomas (5 papers) and Photoacoustic and Ultrasonic Imaging (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (125 citations), Radiology, Nuclear Medicine and Imaging (129 citations) and Pathology and Forensic Medicine (82 citations). Qing Dai has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yuxin Jiang, Qingli Zhu, Ji‐Bin Liu, Yang Meng, Pin Gao, Bo Zhang, Qiang Sun, Jing Zhang, Hongyan Wang and Xingjian Lai. Their work appears in journals such as BioMed Research International, Journal of Shoulder and Elbow Surgery and European 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.