Hongming Shan
- Radiology, Nuclear Medicine and Imaging top 1%
- Computer Vision and Pattern Recognition top 1%
- Biomedical Engineering top 2%
- Artificial Intelligence top 2%
- Media Technology top 2%
- Topics
- Medical Imaging Techniques and Applications (46 papers)Advanced X-ray and CT Imaging (35 papers)Radiomics and Machine Learning in Medical Imaging (20 papers)
- Cited by
- Radiology, Nuclear Medicine and ImagingComputer Vision and Pattern RecognitionHealth Informatics
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Pattern Analysis and Machine IntelligenceStroke
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Hongming Shan
97 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Radiology, Nuclear Medicine and Imaging 1.3k
- Computer Vision and Pattern Recognition 1.2k
- Biomedical Engineering 1.1k
- Artificial Intelligence 543
- Media Technology 144
Countries citing papers authored by Hongming Shan
This map shows the geographic impact of Hongming Shan'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 Hongming Shan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongming Shan more than expected).
Fields of papers citing papers by Hongming Shan
This network shows the impact of papers produced by Hongming Shan. 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 Hongming Shan. The network helps show where Hongming Shan may publish in the future.
Co-authorship network of co-authors of Hongming Shan
This figure shows the co-authorship network connecting the top 25 collaborators of Hongming Shan. A scholar is included among the top collaborators of Hongming Shan 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 Hongming Shan. Hongming Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 2 | |
| 14 | 25 | |
| 15 | 49 | |
| 16 | 111 | |
| 17 | 146 | |
| 18 | Parameter Constrained Transfer Learning for Low Dose PET Image Denoising | 2 |
| 19 | A Method of Rapid Quantification of Patient-Specific Organ Dose for CT Using Coupled Deep Multi-Organ Segmentation Algorithms and GPU-accelerated Monte Carlo Dose Computing Code | 1 |
| 20 | 183 |
About Hongming Shan
Hongming Shan is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering, having authored 106 papers that have together received 2.6k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (46 papers), Advanced X-ray and CT Imaging (35 papers) and Radiomics and Machine Learning in Medical Imaging (20 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.3k citations), Computer Vision and Pattern Recognition (1.2k citations) and Health Informatics (47 citations). Hongming Shan has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ge Wang, Junping Zhang, Zhizhong Huang, Yi Zhang, Mannudeep K. Kalra, Chuang Niu, Liang Wang, Yiwei He, Uwe Krüger and Qing Lyu. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Stroke.
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.