Rui Hui
Impact in
- Neurology top 10%
- Brain Tumor Detection and Classification
- Health Informatics top 10%
Papers in
-
- Medical Image Segmentation Techniques 4
- Advanced Image and Video Retrieval Techniques 3
- Image Retrieval and Classification Techniques 3
-
- Neuropeptides and Animal Physiology 4
- Co-authors
- Xiaohong Gao (5 shared papers)Zengmin Tian (1 shared paper)Tao Chen (4 shared papers)Yun-Qing Li (2 shared papers)Ting Zhang (2 shared papers)Qian Yu (3 shared papers)Xiaoling Wang (1 shared paper)Noboru Mizuno (1 shared paper)
- Journals
- Computer Methods and Programs in Biomedicine (1 paper)The Journal of Comparative Neurology (1 paper)Brain Research (1 paper)Molecular Neurobiology (1 paper)Signal Processing (1 paper)
- Partner nations
- ChinaUnited KingdomJapan
In The Last Decade
Rui Hui
9 papers receiving 380 citations
Peers
Comparison fields: 5 of 86
- Neurology 114
- Health Informatics 11
- Computer Vision and Pattern Recognition 115
- Radiology, Nuclear Medicine and Imaging 113
- Artificial Intelligence 111
Countries citing papers authored by Rui Hui
This map shows the geographic impact of Rui Hui'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 Rui Hui with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rui Hui more than expected).
Fields of papers citing papers by Rui Hui
This network shows the impact of papers produced by Rui Hui. 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 Rui Hui. The network helps show where Rui Hui may publish in the future.
Co-authors
The 23 scholars most cited alongside Rui Hui, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 263 | |
| 2 | 2016 | 38 | |
| 3 | 2008 | 28 | |
| 4 | 2004 | 21 | |
| 5 | 2015 | 16 | |
| 6 | 2011 | 12 | |
| 7 | 2012 | 10 | |
| 8 | Retrieval of 3D medical images via their texture features | 2012 | 8 |
| 9 | 2011 | 6 |
About Rui Hui
Rui Hui is a scholar working on Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 9 papers that have together received 402 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (4 papers), Neuropeptides and Animal Physiology (4 papers), Advanced Image and Video Retrieval Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers), AI in cancer detection (3 papers), Hypothalamic control of reproductive hormones (2 papers), Pain Mechanisms and Treatments (2 papers) and Medical Imaging Techniques and Applications (2 papers). The work is most often cited by research in Neurology (114 citations), Health Informatics (11 citations), Computer Vision and Pattern Recognition (115 citations), Radiology, Nuclear Medicine and Imaging (113 citations) and Artificial Intelligence (111 citations). Rui Hui has collaborated with scholars based in China, United Kingdom and Japan. Frequent co-authors include Xiaohong Gao, Zengmin Tian, Tao Chen, Yun-Qing Li, Ting Zhang, Qian Yu, Xiaoling Wang, Noboru Mizuno, Jun-Bin Yin and Jing Li. Their work appears in journals such as Computer Methods and Programs in Biomedicine, The Journal of Comparative Neurology, Brain Research, Molecular Neurobiology and Signal 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.