Han‐Wei Shen

6.4k citations
218 papers · 4.5k indexed · h-index 38

Impact in

Papers in

Han‐Wei Shen

209 papers receiving 4.3k citations

Peers

Han‐Wei Shen
Comparison fields: 5 of 156
  • Computer Graphics and Computer-Aided Design 2.1k
  • Computer Vision and Pattern Recognition 3.2k
  • Signal Processing 714
  • Computational Mechanics 738
  • Information Systems and Management 206
Replace Alexandru Telea with:
Alexandru Telea Netherlands
Helwig Hauser Norway
Robert S. Laramee United Kingdom
Alex Pang United States
Rüdiger Westermann Germany
Gerik Scheuermann Germany
Chaoli Wang United States
M. Eduard Gröller Austria
Eduard Gröller Austria
Ian Buck United States
Han‐Wei Shen relative to Alexandru Telea Netherlands Alexandru Telea's profile →
Citations per field
00.5×1.5×2.5×
Alexandru Telea · 1×
Citations per year

Countries citing papers authored by Han‐Wei Shen

Since Specialization
Citations

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

Fields of papers citing papers by Han‐Wei Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Han‐Wei Shen. 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 Han‐Wei Shen. The network helps show where Han‐Wei Shen may publish in the future.

Co-authors

The 25 scholars most cited alongside Han‐Wei Shen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Han‐Wei Shen Line = papers co-authored together Han‐Wei Shen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20242
4 20235
5 202313
6 20233
7 20226
8 20227
9 20225
10 202214
11 20215
12
FTK: A High-Dimensional Simplicial Meshing Framework for Robust and Scalable Feature Tracking.
20201
13 201219
14 201147
15 20072
16
Volume Tracking Using Higher Dimensional Isocontouring.
200311
17
Parallel View Dependent Isosurface Extraction for Large Scale Data Visualization.
20015
18 200031
19 199836
20 199659

About Han‐Wei Shen

Han‐Wei Shen is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Signal Processing, Computational Mechanics and Hardware and Architecture, having authored 218 papers that have together received 4.5k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (127 papers), Data Visualization and Analytics (96 papers), Advanced Vision and Imaging (57 papers), 3D Shape Modeling and Analysis (33 papers), Time Series Analysis and Forecasting (18 papers), Video Analysis and Summarization (17 papers), Advanced Data Storage Technologies (17 papers) and Data Management and Algorithms (17 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (2.1k citations), Computer Vision and Pattern Recognition (3.2k citations), Signal Processing (714 citations), Computational Mechanics (738 citations) and Information Systems and Management (206 citations). Han‐Wei Shen has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Teng‐Yok Lee, Jonathan Woodring, Chaoli Wang, Junpeng Wang, Chris R. Johnson, Yarden Livnat, Ying Tu, Kwan‐Liu Ma, Liya Li and Soumya Dutta. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, Computer Graphics Forum, IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control and Information Visualization.

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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