Hongbin Guo
- Computer Vision and Pattern Recognition top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Computational Mechanics
- Applied Mathematics top 10%
- Artificial Intelligence
- Co-authors
- Rosemary A. RenautKewei ChenEric M. ReimanBin ShengPing LiC. L. Philip ChenYouzuo LinBrendt Wohlberg
- Topics
- Medical Imaging Techniques and Applications (12 papers)Advanced MRI Techniques and Applications (7 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingMathematical Physics
- Partner nations
- United StatesChinaCyprus
In The Last Decade
Hongbin Guo
22 papers receiving 309 citations
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 140
- Radiology, Nuclear Medicine and Imaging 124
- Computational Mechanics 49
- Applied Mathematics 39
- Artificial Intelligence 38
Countries citing papers authored by Hongbin Guo
This map shows the geographic impact of Hongbin Guo'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 Hongbin Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hongbin Guo more than expected).
Fields of papers citing papers by Hongbin Guo
This network shows the impact of papers produced by Hongbin Guo. 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 Hongbin Guo. The network helps show where Hongbin Guo may publish in the future.
Co-authorship network of co-authors of Hongbin Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Hongbin Guo. A scholar is included among the top collaborators of Hongbin Guo 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 Hongbin Guo. Hongbin Guo 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 | Stability and Thermal Degradation Kinetics of Polyphenols from the Whole plant of Geum japonicum Thunb variant | 1 |
| 3 | 6 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | A new SVM model for classifying genetic data | 1 |
| 8 | 46 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 7 | |
| 12 | 31 | |
| 13 | Evaluating an Alternative Model for the Input Function in FDG-PET Studies 1 | 1 |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 48 | |
| 17 | 59 | |
| 18 | 4 | |
| 19 | Clustering for three dimensional Kinetic PET Data | 3 |
| 20 | 5 |
About Hongbin Guo
Hongbin Guo is a scholar working on Radiology, Nuclear Medicine and Imaging, Mathematical Physics and Computer Vision and Pattern Recognition, having authored 22 papers that have together received 325 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (12 papers), Advanced MRI Techniques and Applications (7 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (140 citations), Radiology, Nuclear Medicine and Imaging (124 citations) and Mathematical Physics (36 citations). Hongbin Guo has collaborated with scholars based in United States, China and Cyprus. Frequent co-authors include Rosemary A. Renaut, Kewei Chen, Eric M. Reiman, Bin Sheng, Ping Li, C. L. Philip Chen, Youzuo Lin, Brendt Wohlberg, Svetlana Roudenko and Weili Guan. Their work appears in journals such as IEEE Transactions on Cybernetics, Signal Processing and Alzheimer s & Dementia.
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.