Dazhou Guo
- Radiology, Nuclear Medicine and Imaging top 5%
- Cognitive Neuroscience top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Neurology top 10%
- Co-authors
- Julius FridrikssonChris RordenPaul FillmoreDakai JinLe LüAudrey L. HollandSong WangHongkai Yu
- Topics
- Advanced Neural Network Applications (6 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Reading and Literacy Development (3 papers)
- Cited by
- Cognitive NeuroscienceRadiology, Nuclear Medicine and ImagingComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterologíaBrainIEEE Transactions on Image Processing
- Partner nations
- United StatesChinaCayman Islands
In The Last Decade
Dazhou Guo
20 papers receiving 699 citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Radiology, Nuclear Medicine and Imaging 280
- Cognitive Neuroscience 262
- Computer Vision and Pattern Recognition 240
- Artificial Intelligence 125
- Neurology 84
Countries citing papers authored by Dazhou Guo
This map shows the geographic impact of Dazhou 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 Dazhou Guo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dazhou Guo more than expected).
Fields of papers citing papers by Dazhou Guo
This network shows the impact of papers produced by Dazhou 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 Dazhou Guo. The network helps show where Dazhou Guo may publish in the future.
Co-authorship network of co-authors of Dazhou Guo
This figure shows the co-authorship network connecting the top 25 collaborators of Dazhou Guo. A scholar is included among the top collaborators of Dazhou 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 Dazhou Guo. Dazhou 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 | 0 | |
| 2 | 6 | |
| 3 | 8 | |
| 4 | LViT: Language Meets Vision Transformer in Medical Image Segmentationbreakdown → | 135 |
| 5 | 9 | |
| 6 | 2 | |
| 7 | 33 | |
| 8 | 46 | |
| 9 | 11 | |
| 10 | 43 | |
| 11 | 14 | |
| 12 | 43 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 17 | |
| 16 | 33 | |
| 17 | 91 | |
| 18 | 68 | |
| 19 | 139 | |
| 20 | 0 |
About Dazhou Guo
Dazhou Guo is a scholar working on Geology, Computer Vision and Pattern Recognition and Radiation, having authored 23 papers that have together received 710 indexed citations. Recurring topics across this work include Advanced Neural Network Applications (6 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Reading and Literacy Development (3 papers). The work is most often cited by research in Cognitive Neuroscience (262 citations), Radiology, Nuclear Medicine and Imaging (280 citations) and Computer Vision and Pattern Recognition (240 citations). Dazhou Guo has collaborated with scholars based in United States, China and Cayman Islands. Frequent co-authors include Julius Fridriksson, Chris Rorden, Paul Fillmore, Dakai Jin, Le Lü, Audrey L. Holland, Song Wang, Hongkai Yu, Yuhang Lu and Puyang Wang. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain and IEEE Transactions on Image Processing.
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.