Hui Shuai
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Computational Mechanics
- Environmental Engineering
- Geology top 10%
- Co-authors
- Qingshan LiuGuangcan LiuShanmin WangFeng ZhouRenlong HangJing YangLingdong KongJiankang Deng
- Topics
- Human Pose and Action Recognition (4 papers)Remote Sensing and LiDAR Applications (3 papers)Advanced Neural Network Applications (3 papers)
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Geoscience and Remote SensingIEEE Transactions on Image Processing
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Hui Shuai
23 papers receiving 277 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 163
- Artificial Intelligence 61
- Computational Mechanics 57
- Environmental Engineering 53
- Geology 46
Countries citing papers authored by Hui Shuai
This map shows the geographic impact of Hui Shuai'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 Hui Shuai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Shuai more than expected).
Fields of papers citing papers by Hui Shuai
This network shows the impact of papers produced by Hui Shuai. 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 Hui Shuai. The network helps show where Hui Shuai may publish in the future.
Co-authorship network of co-authors of Hui Shuai
This figure shows the co-authorship network connecting the top 25 collaborators of Hui Shuai. A scholar is included among the top collaborators of Hui Shuai 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 Hui Shuai. Hui Shuai 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 | 7 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 5 | |
| 8 | 43 | |
| 9 | 18 | |
| 10 | 40 | |
| 11 | 25 | |
| 12 | 3 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 62 | |
| 16 | 33 | |
| 17 | 0 | |
| 18 | 3 | |
| 19 | Prior Consistent CNN with Multi-Task Learning for Colon Image Classification | 1 |
| 20 | 10 |
About Hui Shuai
Hui Shuai is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Geology, having authored 25 papers that have together received 283 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (4 papers), Remote Sensing and LiDAR Applications (3 papers) and Advanced Neural Network Applications (3 papers). The work is most often cited by research in Geology (46 citations), Computer Vision and Pattern Recognition (163 citations) and Environmental Engineering (53 citations). Hui Shuai has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Qingshan Liu, Guangcan Liu, Shanmin Wang, Feng Zhou, Renlong Hang, Jing Yang, Lingdong Kong, Jiankang Deng, Kaihua Zhang and Junhua Gao. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing 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.