Guangyi Wang
- Radiology, Nuclear Medicine and Imaging top 2%
- Statistical and Nonlinear Physics top 2%
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Cognitive Neuroscience top 10%
- Topics
- Advanced Memory and Neural Computing (27 papers)Radiomics and Machine Learning in Medical Imaging (17 papers)stochastic dynamics and bifurcation (12 papers)
- Journals
- Journal of Clinical OncologySHILAP Revista de lepidopterologíaNano Letters
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Guangyi Wang
120 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 143
- Radiology, Nuclear Medicine and Imaging 536
- Statistical and Nonlinear Physics 435
- Electrical and Electronic Engineering 430
- Computer Networks and Communications 247
- Cognitive Neuroscience 218
Countries citing papers authored by Guangyi Wang
This map shows the geographic impact of Guangyi Wang'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 Guangyi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangyi Wang more than expected).
Fields of papers citing papers by Guangyi Wang
This network shows the impact of papers produced by Guangyi Wang. 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 Guangyi Wang. The network helps show where Guangyi Wang may publish in the future.
Co-authorship network of co-authors of Guangyi Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Guangyi Wang. A scholar is included among the top collaborators of Guangyi Wang 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 Guangyi Wang. Guangyi Wang 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 10 | |
| 7 | 5 | |
| 8 | 13 | |
| 9 | 10 | |
| 10 | 4 | |
| 11 | 20 | |
| 12 | 6 | |
| 13 | 20 | |
| 14 | 9 | |
| 15 | 15 | |
| 16 | 85 | |
| 17 | Experimental Teaching Thought and Innovative Ability Cultivation | 1 |
| 18 | 2 | |
| 19 | 5 | |
| 20 | Trace element environmental survey for a longevity elder's district Rugao | 1 |
About Guangyi Wang
Guangyi Wang is a scholar working on Health Informatics, Statistical and Nonlinear Physics and Hepatology, having authored 126 papers that have together received 1.7k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (27 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and stochastic dynamics and bifurcation (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (435 citations), Radiology, Nuclear Medicine and Imaging (536 citations) and Hepatology (166 citations). Guangyi Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Zaiyi Liu, Changhong Liang, Peipei Jin, Yanqi Huang, Han Bao, Bocheng Bao, Tao Jiang, Mo Chen, Wu Zhou and Lijuan Zhang. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Nano Letters.
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.