Shaoguo Cui
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
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- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
Papers in
-
- Photoacoustic and Ultrasonic Imaging 4
- Co-authors
- Jingfeng Jiang (3 shared papers)Lei Mao (2 shared papers)Chang Liu (1 shared paper)Chao Liu (1 shared paper)Wanping Liu (1 shared paper)Xiaoyang Liu (2 shared papers)Cheng‐Di Dong (3 shared papers)Yongmei Li (5 shared papers)
- Journals
- Journal of Applied Physics (6 papers)Applied Physics Letters (2 papers)International Journal of Machine Learning and Cybernetics (1 paper)IEEE Journal of Biomedical and Health Informatics (1 paper)Academic Radiology (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Shaoguo Cui
48 papers receiving 406 citations
Peers
Comparison fields: 5 of 83
- Neurology 117
- Computer Vision and Pattern Recognition 134
- Health Informatics 8
- Radiology, Nuclear Medicine and Imaging 106
- Internal Medicine 15
Countries citing papers authored by Shaoguo Cui
This map shows the geographic impact of Shaoguo Cui'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 Shaoguo Cui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoguo Cui more than expected).
Fields of papers citing papers by Shaoguo Cui
This network shows the impact of papers produced by Shaoguo Cui. 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 Shaoguo Cui. The network helps show where Shaoguo Cui may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaoguo Cui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 141 | |
| 2 | 2015 | 49 | |
| 3 | 2023 | 23 | |
| 4 | 2021 | 13 | |
| 5 | 2024 | 12 | |
| 6 | 2011 | 12 | |
| 7 | 2023 | 11 | |
| 8 | 1995 | 10 | |
| 9 | 2022 | 9 | |
| 10 | 2019 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 1993 | 7 | |
| 13 | 2017 | 7 | |
| 14 | 2022 | 7 | |
| 15 | 1994 | 7 | |
| 16 | 1999 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 1995 | 6 | |
| 19 | 1994 | 6 | |
| 20 | 2025 | 5 |
About Shaoguo Cui
Shaoguo Cui is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition, Materials Chemistry, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 55 papers that have together received 417 indexed citations. Recurring topics across this work include Semiconductor Quantum Structures and Devices (5 papers), Brain Tumor Detection and Classification (5 papers), Thin-Film Transistor Technologies (5 papers), Silicon and Solar Cell Technologies (5 papers), Acute Ischemic Stroke Management (4 papers), Silicon Nanostructures and Photoluminescence (4 papers), Photoacoustic and Ultrasonic Imaging (4 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). The work is most often cited by research in Neurology (117 citations), Computer Vision and Pattern Recognition (134 citations), Health Informatics (8 citations), Radiology, Nuclear Medicine and Imaging (106 citations) and Internal Medicine (15 citations). Shaoguo Cui has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jingfeng Jiang, Lei Mao, Chang Liu, Chao Liu, Wanping Liu, Xiaoyang Liu, Cheng‐Di Dong, Yongmei Li, Tiansong Li and Chang Liu. Their work appears in journals such as Journal of Applied Physics, Applied Physics Letters, International Journal of Machine Learning and Cybernetics, IEEE Journal of Biomedical and Health Informatics and Academic Radiology.
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.