Hui Shuai

463 total citations
25 papers, 283 citations indexed

About

Hui Shuai is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Hui Shuai has authored 25 papers receiving a total of 283 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 5 papers in Media Technology. Recurrent topics in Hui Shuai's work include Human Pose and Action Recognition (4 papers), Remote Sensing and LiDAR Applications (3 papers) and Advanced Neural Network Applications (3 papers). Hui Shuai is often cited by papers focused on Human Pose and Action Recognition (4 papers), Remote Sensing and LiDAR Applications (3 papers) and Advanced Neural Network Applications (3 papers). Hui Shuai collaborates with scholars based in China, Singapore and United States. Hui Shuai's co-authors include Qingshan Liu, Guangcan Liu, Shanmin Wang, Feng Zhou, Renlong Hang, Jing Yang, Lingdong Kong, Jiankang Deng, Kaihua Zhang and Junhua Gao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing.

In The Last Decade

Hui Shuai

23 papers receiving 277 citations

Peers

Hui Shuai
Comparison fields: 5 of 58
  • Computer Vision and Pattern Recognition 163
  • Artificial Intelligence 61
  • Computational Mechanics 57
  • Environmental Engineering 53
  • Geology 46
Replace Qiguang Miao with:
Qiguang Miao China
Hamid Izadinia United States
Yakun Chang China
Kai Berger Germany
Ben Caine United States
Pilar Merchán Spain
Matti Niskanen Finland
Bruno Mirbach Luxembourg
Qiguang Miao China View profile →
Citations per field, relative to Hui Shuai
Hui Shuai · 1×
Citations per year, relative to Hui Shuai
Hui Shuai · 1×

Countries citing papers authored by Hui Shuai

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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