Yao Hu

1.2k citations
29 papers · 846 indexed · 1 hit paper · h-index 16
Topics
Topic Modeling (5 papers)Multimodal Machine Learning Applications (5 papers)Recommender Systems and Techniques (4 papers)
Partner nations
ChinaUnited StatesTaiwan

In The Last Decade

Yao Hu

26 papers receiving 825 citations

Hit Papers

End-to-End Temporal Action Detection With Transformer2022202620232024202250100150

Peers

Yao Hu
Comparison fields: 5 of 90
  • Artificial Intelligence 589
  • Computer Vision and Pattern Recognition 293
  • Information Systems 117
  • Control and Systems Engineering 111
  • Computer Networks and Communications 78
Replace Derek Long with:
Derek Long Australia
Sanjay Silakari India
Ruba Abu Khurma Jordan
Krzysztof Cpałka Poland
Timothy Tsai United States
Fabian Moerchen United States
Michael B. Sullivan United States
Yinan Guo China
Adel Binbusayyis Saudi Arabia
S. Rajaram India
Yao Hu relative to Derek Long Australia Derek Long's profile →
Citations per field
00.5×
Derek Long · 1×
Citations per year

Countries citing papers authored by Yao Hu

Since Specialization
Citations

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

Fields of papers citing papers by Yao Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yao Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Yao Hu. A scholar is included among the top collaborators of Yao Hu 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 Yao Hu. Yao Hu 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
#WorkIndexed citations
1 0
2 1
3 5
4 1
5 6
6
End-to-End Temporal Action Detection With Transformerbreakdown →
150
7 4
8 39
9 10
10 15
11 33
12 114
13 65
14 17
15 19
16 10
17 0
18 19
19 29
20 10

About Yao Hu

Yao Hu is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems, having authored 29 papers that have together received 846 indexed citations. Recurring topics across this work include Topic Modeling (5 papers), Multimodal Machine Learning Applications (5 papers) and Recommender Systems and Techniques (4 papers). The work is most often cited by research in Artificial Intelligence (589 citations), Computer Vision and Pattern Recognition (293 citations) and Information Systems (117 citations). Yao Hu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Qingsong Fan, Haisong Huang, Dong Huang, Jianan Wei, Liguo Yao, Qimeng Wang, Song Bai, Shiwei Zhang, Xiang Bai and Xu Tang. Their work appears in journals such as PLoS ONE, IEEE Transactions on Image Processing and Expert Systems with Applications.

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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