Deyang Huang
- Infectious Diseases top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Neurology top 5%
- Oncology
- Critical Care and Intensive Care Medicine top 10%
- Co-authors
- Songfeng JiangQingxin GanBihua ChenWanhua GuanLieguang ZhangRui JiangZhiping ZhangLiangping Luo
- Topics
- Radiomics and Machine Learning in Medical Imaging (2 papers)COVID-19 Clinical Research Studies (2 papers)Diagnosis and treatment of tuberculosis (2 papers)
- Journals
- European Journal of Nuclear Medicine and Molecular ImagingJournal of X-Ray Science and TechnologyZhonghua fangshexian yixue zazhi
- Partner nations
- ChinaUnited States
In The Last Decade
Deyang Huang
6 papers receiving 556 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Infectious Diseases 396
- Radiology, Nuclear Medicine and Imaging 213
- Neurology 195
- Oncology 142
- Critical Care and Intensive Care Medicine 64
Countries citing papers authored by Deyang Huang
This map shows the geographic impact of Deyang Huang'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 Deyang Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deyang Huang more than expected).
Fields of papers citing papers by Deyang Huang
This network shows the impact of papers produced by Deyang Huang. 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 Deyang Huang. The network helps show where Deyang Huang may publish in the future.
Co-authorship network of co-authors of Deyang Huang
This figure shows the co-authorship network connecting the top 25 collaborators of Deyang Huang. A scholar is included among the top collaborators of Deyang Huang 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 Deyang Huang. Deyang Huang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 4 | |
| 3 | 2 | |
| 4 | Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2breakdown → | 557 |
| 5 | Remaining Useful Life Prediction for Lithium-Ion Batteries Based on Time Interval of Equal Charging Voltage Difference | 2 |
| 6 | 3 |
About Deyang Huang
Deyang Huang is a scholar working on Infectious Diseases, Neurology and Radiology, Nuclear Medicine and Imaging, having authored 6 papers that have together received 571 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), COVID-19 Clinical Research Studies (2 papers) and Diagnosis and treatment of tuberculosis (2 papers). The work is most often cited by research in Infectious Diseases (396 citations), Neurology (195 citations) and Critical Care and Intensive Care Medicine (64 citations). Deyang Huang has collaborated with scholars based in China and United States. Frequent co-authors include Songfeng Jiang, Qingxin Gan, Bihua Chen, Wanhua Guan, Lieguang Zhang, Rui Jiang, Zhiping Zhang, Liangping Luo, Zhoukun Ling and Yan Ding. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of X-Ray Science and Technology and Zhonghua fangshexian yixue zazhi.
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.