Shaoli Huang

2.2k total citations · 1 hit paper
54 papers, 1.2k citations indexed

About

Shaoli Huang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Shaoli Huang has authored 54 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computer Vision and Pattern Recognition, 17 papers in Artificial Intelligence and 9 papers in Control and Systems Engineering. Recurrent topics in Shaoli Huang's work include Human Pose and Action Recognition (20 papers), Advanced Neural Network Applications (16 papers) and Domain Adaptation and Few-Shot Learning (14 papers). Shaoli Huang is often cited by papers focused on Human Pose and Action Recognition (20 papers), Advanced Neural Network Applications (16 papers) and Domain Adaptation and Few-Shot Learning (14 papers). Shaoli Huang collaborates with scholars based in China, Australia and United States. Shaoli Huang's co-authors include Ya Zhang, Zhe Xu, Dacheng Tao, Dacheng Tao, Xinchao Wang, Wei Liu, Mingming Gong, Jue Wang, Wei Liu and Jifeng Ning and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Environmental Pollution and IEEE Transactions on Image Processing.

In The Last Decade

Shaoli Huang

49 papers receiving 1.2k citations

Hit Papers

Part-Stacked CNN for Fine-Grained Visual Categorization 2016 2026 2019 2022 2016 100 200 300

Peers

Shaoli Huang
Comparison fields: 5 of 99
  • Computer Vision and Pattern Recognition 972
  • Artificial Intelligence 557
  • Human-Computer Interaction 102
  • Control and Systems Engineering 73
  • Media Technology 72
Replace Ian Endres with:
Ian Endres United States
Thangarajah Akilan Canada
Tyler Zhu United States
Patrik Kamencay Slovakia
Fanyi Xiao United States
Rohit Girdhar United States
Aruni RoyChowdhury United States
Linjie Yang China
Adam Kortylewski United States
Ian Endres United States View profile →
Citations per field, relative to Shaoli Huang
Shaoli Huang · 1×
Citations per year, relative to Shaoli Huang
Shaoli Huang · 1×

Countries citing papers authored by Shaoli Huang

Since Specialization
Citations

This map shows the geographic impact of Shaoli Huang'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 Shaoli Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaoli Huang more than expected).

Fields of papers citing papers by Shaoli Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shaoli Huang. 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 Shaoli Huang. The network helps show where Shaoli Huang may publish in the future.

Co-authorship network of co-authors of Shaoli Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Shaoli Huang. A scholar is included among the top collaborators of Shaoli Huang 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 Shaoli Huang. Shaoli Huang 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 0
2 0
3 1
4 0
5 2
6 4
7 1
8 1
9 3
10 3
11 3
12 9
13 12
14 9
15 1
16 143
17 1
18 34
19 111
20 68

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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