Qing Lyu
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Health Informatics top 0.5%
- Computer Vision and Pattern Recognition top 5%
- Biomedical Engineering
- Co-authors
- Ge WangHongming ShanChuang NiuChristopher T. WhitlowJosh TanJanardhana PonnatapuraMichael E. ZapadkaKyle J. Myers
- Topics
- Advanced Memory and Neural Computing (6 papers)Neuroscience and Neural Engineering (6 papers)Topic Modeling (5 papers)
- Cited by
- Health InformaticsRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- Nature CommunicationsSHILAP Revista de lepidopterologíaIEEE Transactions on Medical Imaging
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Qing Lyu
24 papers receiving 658 citations
Hit Papers
Peers
Comparison fields: 5 of 92
- Radiology, Nuclear Medicine and Imaging 286
- Artificial Intelligence 222
- Health Informatics 151
- Computer Vision and Pattern Recognition 144
- Biomedical Engineering 93
Countries citing papers authored by Qing Lyu
This map shows the geographic impact of Qing Lyu'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 Lyu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Lyu more than expected).
Fields of papers citing papers by Qing Lyu
This network shows the impact of papers produced by Qing Lyu. 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 Lyu. The network helps show where Qing Lyu may publish in the future.
Co-authorship network of co-authors of Qing Lyu
This figure shows the co-authorship network connecting the top 25 collaborators of Qing Lyu. A scholar is included among the top collaborators of Qing Lyu 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 Lyu. Qing Lyu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 44 | |
| 4 | Translating radiology reports into plain language using ChatGPT and GPT-4 with prompt learning: results, limitations, and potentialbreakdown → | 220 |
| 5 | 2 | |
| 6 | 27 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 0 | |
| 10 | 49 | |
| 11 | Goal-Oriented Script Construction. | 1 |
| 12 | 10 | |
| 13 | 82 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 15 | |
| 17 | 36 | |
| 18 | Effects of different three-dimensional electrodes on epiretinal electrical stimulation by modeling analysis | 1 |
| 19 | 17 | |
| 20 | 23 |
About Qing Lyu
Qing Lyu is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Cellular and Molecular Neuroscience, having authored 25 papers that have together received 668 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (6 papers), Neuroscience and Neural Engineering (6 papers) and Topic Modeling (5 papers). The work is most often cited by research in Health Informatics (151 citations), Radiology, Nuclear Medicine and Imaging (286 citations) and Computer Vision and Pattern Recognition (144 citations). Qing Lyu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ge Wang, Hongming Shan, Chuang Niu, Christopher T. Whitlow, Josh Tan, Janardhana Ponnatapura, Michael E. Zapadka, Kyle J. Myers, Dan Roth and Hongming Zhang. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and IEEE Transactions on Medical Imaging.
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.