Tiejun Huang

449 citations
22 papers · 285 indexed · h-index 10
Topics
Advanced Memory and Neural Computing (5 papers)Advanced Image and Video Retrieval Techniques (5 papers)Human Pose and Action Recognition (4 papers)
Partner nations
ChinaSwitzerland

In The Last Decade

Tiejun Huang

19 papers receiving 274 citations

Peers

Tiejun Huang
Comparison fields: 5 of 51
  • Computer Vision and Pattern Recognition 161
  • Electrical and Electronic Engineering 86
  • Artificial Intelligence 69
  • Cognitive Neuroscience 63
  • Media Technology 23
Replace Nana Yu with:
Nana Yu China
Aaron Chadha United Kingdom
Heiko Wersing Germany
Chethan M. Parameshwara United States
David Doukhan France
Guangyu Wang China
Katja Seeliger Netherlands
Diederik Paul Moeys Switzerland
Ioan Marius Bilasco France
Federico Paredes-Vallés Netherlands
Tiejun Huang relative to Nana Yu China Nana Yu's profile →
Citations per field
00.5×3.7×
Nana Yu · 1×
Citations per year

Countries citing papers authored by Tiejun Huang

Since Specialization
Citations

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

Fields of papers citing papers by Tiejun Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tiejun Huang

This figure shows the co-authorship network connecting the top 25 collaborators of Tiejun Huang. A scholar is included among the top collaborators of Tiejun 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 Tiejun Huang. Tiejun 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
#WorkIndexed citations
1 7
2 1
3 2
4 0
5 2
6 0
7 0
8 4
9 50
10 60
11 4
12 2
13 22
14 22
15 1
16 27
17 12
18 16
19 20
20 9

About Tiejun Huang

Tiejun Huang is a scholar working on Computer Vision and Pattern Recognition, Sensory Systems and Human-Computer Interaction, having authored 22 papers that have together received 285 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (5 papers), Advanced Image and Video Retrieval Techniques (5 papers) and Human Pose and Action Recognition (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (161 citations), Acoustics and Ultrasonics (3 citations) and Cognitive Neuroscience (63 citations). Tiejun Huang has collaborated with scholars based in China and Switzerland. Frequent co-authors include Zhaofei Yu, Jianhao Ding, Wen Gao, Ling‐Yu Duan, Wei Zeng, Wen Gao, Yonghong Tian, Yaowei Wang, Yemin Shi and Jingjing Yang. Their work appears in journals such as Advanced Functional Materials, IEEE Transactions on Image Processing and Computer.

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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