Qiang Hu

1.0k total citations
31 papers, 350 citations indexed

About

Qiang Hu is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Qiang Hu has authored 31 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 8 papers in Signal Processing and 8 papers in Artificial Intelligence. Recurrent topics in Qiang Hu's work include Video Coding and Compression Technologies (6 papers), Emotion and Mood Recognition (4 papers) and Advanced Vision and Imaging (4 papers). Qiang Hu is often cited by papers focused on Video Coding and Compression Technologies (6 papers), Emotion and Mood Recognition (4 papers) and Advanced Vision and Imaging (4 papers). Qiang Hu collaborates with scholars based in China, United States and United Kingdom. Qiang Hu's co-authors include Feifei Gao, Xiaoyun Zhang, Zhiyong Gao, Geoffrey Ye Li, Hao Zhang, Shi Jin, Zhiru Shi, Wei Chen, Milton R. Sommerfeld and Lirong Song and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, IEEE Transactions on Wireless Communications and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Qiang Hu

26 papers receiving 339 citations

Peers

Qiang Hu
Comparison fields: 5 of 73
  • Signal Processing 114
  • Computer Vision and Pattern Recognition 108
  • Electrical and Electronic Engineering 105
  • Artificial Intelligence 88
  • Computer Networks and Communications 43
Replace Hima Bindu Valiveti with:
Hima Bindu Valiveti India
Fardad Farokhi Iran
E. G. Rajan India
Shen Lan-sun China
Razaidi Hussin Malaysia
G. Josemin Bala India
E. S. Gopi India
Miguel López Mexico
Hima Bindu Valiveti India View profile →
Citations per field, relative to Qiang Hu
Qiang Hu · 1×
Citations per year, relative to Qiang Hu
Qiang Hu · 1×

Countries citing papers authored by Qiang Hu

Since Specialization
Citations

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

Fields of papers citing papers by Qiang Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qiang Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Qiang Hu. A scholar is included among the top collaborators of Qiang 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 Qiang Hu. Qiang 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
# Work Indexed citations
1 0
2 2
3 2
4 0
5 2
6 11
7 3
8 1
9 7
10 110
11 6
12 5
13 28
14 5
15 13
16 16
17 0
18 1
19 1
20 3

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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