Guangzhi Ma
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 5%
- Oncology top 10%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Co-authors
- Enmin SongRenchao JinXiangyang XuChih‐Cheng HungHaichao CaoYunfu DengHong LiuQiang Wu
- Topics
- Medical Image Segmentation Techniques (9 papers)Lung Cancer Treatments and Mutations (9 papers)Radiomics and Machine Learning in Medical Imaging (8 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingPulmonary and Respiratory MedicineComputer Vision and Pattern Recognition
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Guangzhi Ma
76 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 131
- Radiology, Nuclear Medicine and Imaging 426
- Pulmonary and Respiratory Medicine 417
- Oncology 289
- Computer Vision and Pattern Recognition 255
- Artificial Intelligence 254
Countries citing papers authored by Guangzhi Ma
This map shows the geographic impact of Guangzhi Ma'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 Guangzhi Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangzhi Ma more than expected).
Fields of papers citing papers by Guangzhi Ma
This network shows the impact of papers produced by Guangzhi Ma. 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 Guangzhi Ma. The network helps show where Guangzhi Ma may publish in the future.
Co-authorship network of co-authors of Guangzhi Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Guangzhi Ma. A scholar is included among the top collaborators of Guangzhi Ma 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 Guangzhi Ma. Guangzhi Ma 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 | 13 | |
| 3 | 7 | |
| 4 | 25 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 21 | |
| 8 | 6 | |
| 9 | 25 | |
| 10 | 24 | |
| 11 | 55 | |
| 12 | 70 | |
| 13 | 99 | |
| 14 | 8 | |
| 15 | 1 | |
| 16 | 11 | |
| 17 | 4 | |
| 18 | 22 | |
| 19 | Method for Importing Web Content Mining into Patterns Clustering | 1 |
| 20 | Music style identification system based on mining technology | 2 |
About Guangzhi Ma
Guangzhi Ma is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Oncology, having authored 79 papers that have together received 1.2k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Lung Cancer Treatments and Mutations (9 papers) and Radiomics and Machine Learning in Medical Imaging (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (426 citations), Pulmonary and Respiratory Medicine (417 citations) and Computer Vision and Pattern Recognition (255 citations). Guangzhi Ma has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Enmin Song, Renchao Jin, Xiangyang Xu, Chih‐Cheng Hung, Haichao Cao, Yunfu Deng, Hong Liu, Qiang Wu, Qaisar Abbas and M. Emre Celebi. Their work appears in journals such as Oncogene, Scientific Reports and The American Journal of Sports Medicine.
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.