Huamin Qu

11.0k total citations
280 papers, 7.0k citations indexed

About

Huamin Qu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Huamin Qu has authored 280 papers receiving a total of 7.0k indexed citations (citations by other indexed papers that have themselves been cited), including 226 papers in Computer Vision and Pattern Recognition, 60 papers in Artificial Intelligence and 36 papers in Signal Processing. Recurrent topics in Huamin Qu's work include Data Visualization and Analytics (172 papers), Video Analysis and Summarization (52 papers) and Complex Network Analysis Techniques (30 papers). Huamin Qu is often cited by papers focused on Data Visualization and Analytics (172 papers), Video Analysis and Summarization (52 papers) and Complex Network Analysis Techniques (30 papers). Huamin Qu collaborates with scholars based in Hong Kong, China and United States. Huamin Qu's co-authors include Weiwei Cui, Yingcai Wu, Hong Zhou, Shi‐Xia Liu, Yong Wang, Yao Ming, Conglei Shi, Xiaoru Yuan, Aoyu Wu and Nan Cao and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, IEEE Access and Energy and Buildings.

In The Last Decade

Huamin Qu

270 papers receiving 6.8k citations

Peers

Huamin Qu
Comparison fields: 5 of 167
  • Computer Vision and Pattern Recognition 4.5k
  • Artificial Intelligence 2.1k
  • Signal Processing 1.1k
  • Statistical and Nonlinear Physics 728
  • Transportation 672
Replace Daniel P. Huttenlocher with:
Daniel P. Huttenlocher United States
Yingcai Wu China
Jarke J. van Wijk Netherlands
Sheelagh Carpendale Canada
Tamara Munzner Canada
Nuria Oliver Spain
Catherine Plaisant United States
Kwan‐Liu Ma United States
Daniel A. Keim Germany
Niklas Elmqvist United States
Daniel P. Huttenlocher United States View profile →
Citations per field, relative to Huamin Qu
Huamin Qu · 1×
Citations per year, relative to Huamin Qu
Huamin Qu · 1×

Countries citing papers authored by Huamin Qu

Since Specialization
Citations

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

Fields of papers citing papers by Huamin Qu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huamin Qu

This figure shows the co-authorship network connecting the top 25 collaborators of Huamin Qu. A scholar is included among the top collaborators of Huamin Qu 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 Huamin Qu. Huamin Qu 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 6
2 0
3 1
4 3
5 5
6 9
7 2
8 8
9 20
10 15
11 57
12 9
13 5
14 20
15 47
16 49
17 86
18
A Guided Tour of Literature Review:Facilitating Academic Paper Reading with Narrative Visualization
2
19 7
20
Volume Visualization on Mobile Devices
7

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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