H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 42 Citations 7,702 208 World Ranking 4162 National Ranking 390

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Statistics
  • Machine learning

Huamin Qu mainly focuses on Data visualization, Visualization, Visual analytics, Data science and Artificial intelligence. His Data visualization study combines topics in areas such as Creative visualization, Computer graphics, Text mining and World Wide Web. The various areas that Huamin Qu examines in his Visualization study include Computer graphics and Usability.

His Visual analytics study combines topics from a wide range of disciplines, such as Timeline, Analytics, Human–computer interaction and Advanced Traffic Management System. His Data science research is multidisciplinary, incorporating perspectives in Data modeling, Feature extraction and The Internet. His Artificial intelligence research includes themes of Machine learning, Simulation, Computer vision and Pattern recognition.

His most cited work include:

  • TextFlow: Towards Better Understanding of Evolving Topics in Text (266 citations)
  • Geometry-Based Edge Clustering for Graph Visualization (232 citations)
  • Context preserving dynamic word cloud visualization (187 citations)

What are the main themes of his work throughout his whole career to date?

Huamin Qu spends much of his time researching Visualization, Visual analytics, Artificial intelligence, Data visualization and Data science. His Visualization research incorporates elements of Multimedia and Human–computer interaction. His research in Visual analytics intersects with topics in Analytics, Information retrieval, Usability and Set.

Huamin Qu works mostly in the field of Artificial intelligence, limiting it down to concerns involving Computer vision and, occasionally, Computer graphics. His studies in Data visualization integrate themes in fields like Text mining, Creative visualization, Computer graphics and Data modeling. The concepts of his Data science study are interwoven with issues in Social media and World Wide Web.

He most often published in these fields:

  • Visualization (50.73%)
  • Visual analytics (33.94%)
  • Artificial intelligence (33.21%)

What were the highlights of his more recent work (between 2019-2021)?

  • Visual analytics (33.94%)
  • Visualization (50.73%)
  • Artificial intelligence (33.21%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Visual analytics, Visualization, Artificial intelligence, Data visualization and Human–computer interaction. His studies deal with areas such as Interactive visualization, Usability and Data science as well as Visual analytics. His Visualization research entails a greater understanding of Data mining.

His Artificial intelligence study combines topics from a wide range of disciplines, such as Machine learning and Chart. His work carried out in the field of Data visualization brings together such families of science as User experience design, Scalable Vector Graphics and Information retrieval. His research in Human–computer interaction intersects with topics in Sentence, Mobile device, Workflow and Reinforcement learning.

Between 2019 and 2021, his most popular works were:

  • ViSeq: Visual Analytics of Learning Sequence in Massive Open Online Courses (17 citations)
  • Towards Automated Infographic Design: Deep Learning-based Auto-Extraction of Extensible Timeline (15 citations)
  • DeepDrawing : A Deep Learning Approach to Graph Drawing (14 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Machine learning

His primary areas of study are Data visualization, Visual analytics, Visualization, Human–computer interaction and Artificial intelligence. His Data visualization research is multidisciplinary, incorporating perspectives in Sequence, Information retrieval, Multimedia and Infographic. His Visual analytics study combines topics in areas such as Analytics, Scale, Information cascade and Presentation.

Borrowing concepts from Glyph, he weaves in ideas under Visualization. His Human–computer interaction study integrates concerns from other disciplines, such as Workflow and Leverage. His work deals with themes such as Point and Machine learning, which intersect with Artificial intelligence.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

TextFlow: Towards Better Understanding of Evolving Topics in Text

Weiwei Cui;Shixia Liu;Li Tan;Conglei Shi.
IEEE Transactions on Visualization and Computer Graphics (2011)

432 Citations

Geometry-Based Edge Clustering for Graph Visualization

Weiwei Cui;Hong Zhou;Huamin Qu;Pak Chung Wong.
IEEE Transactions on Visualization and Computer Graphics (2008)

388 Citations

Context preserving dynamic word cloud visualization

Weiwei Cui;Yingcai Wu;Shixia Liu;Furu Wei.
ieee pacific visualization symposium (2010)

340 Citations

Visual clustering in parallel coordinates

Hong Zhou;Xiaoru Yuan;Huamin Qu;Weiwei Cui.
ieee vgtc conference on visualization (2008)

250 Citations

OpinionSeer: Interactive Visualization of Hotel Customer Feedback

Yingcai Wu;Furu Wei;Shixia Liu;Norman Au.
IEEE Transactions on Visualization and Computer Graphics (2010)

210 Citations

Scattering Points in Parallel Coordinates

Xiaoru Yuan;Peihong Guo;He Xiao;Hong Zhou.
IEEE Transactions on Visualization and Computer Graphics (2009)

191 Citations

FacetAtlas: Multifaceted Visualization for Rich Text Corpora

Nan Cao;Jimeng Sun;Yu-Ru Lin;D Gotz.
IEEE Transactions on Visualization and Computer Graphics (2010)

175 Citations

Whisper: Tracing the Spatiotemporal Process of Information Diffusion in Real Time

Nan Cao;Yu-Ru Lin;Xiaohua Sun;D. Lazer.
IEEE Transactions on Visualization and Computer Graphics (2012)

173 Citations

Big-Data Visualization

Daniel Keim;Huamin Qu;Kwan-Liu Ma.
IEEE Computer Graphics and Applications (2013)

156 Citations

Visual Analysis of Topic Competition on Social Media

Panpan Xu;Yingcai Wu;Enxun Wei;Tai-Quan Peng.
visual analytics science and technology (2013)

142 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Huamin Qu

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