Han‐Wei Shen

6.4k citations
219 papers · 4.6k · h-index 38

Impact in

Papers in

Han‐Wei Shen

209 papers receiving 4.4k citations

Peers

Han‐Wei Shen
Comparison fields: 5 of 154
  • Computer Graphics and Computer-Aided Design 2.1k
  • Computer Vision and Pattern Recognition 3.2k
  • Signal Processing 718
  • Computational Mechanics 744
  • Information Systems and Management 205
Replace Helwig Hauser with:
Helwig Hauser Norway
Alexandru Telea Netherlands
Claudio Silva United States
Robert S. Laramee United Kingdom
Chris R. Johnson United States
Rüdiger Westermann Germany
Alex Pang United States
Gerik Scheuermann Germany
Chaoli Wang United States
Ingo Wald United States
Han‐Wei Shen relative to Helwig Hauser Norway Helwig Hauser's profile →
Citations per field
00.5×1.5×1.8×
Helwig Hauser · 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

Showing the 20 most-cited of 219 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996196
2 2010114
3 2007107
4 2008105
5 2018105
6 2006105
7 2018102
8 201988
9 199981
10 201179
11 200679
12 199876
13 201274
14 201969
15 200468
16 201667
17 201161
18 201861
19 199660
20 199758

About Han‐Wei Shen

Han‐Wei Shen is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Artificial Intelligence, Computational Mechanics and Signal Processing, having authored 219 papers that have together received 4.6k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (128 papers), Data Visualization and Analytics (97 papers), Advanced Vision and Imaging (57 papers), 3D Shape Modeling and Analysis (33 papers), Time Series Analysis and Forecasting (18 papers), Data Management and Algorithms (17 papers), Video Analysis and Summarization (17 papers) and Advanced Data Storage Technologies (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 (718 citations), Computational Mechanics (744 citations) and Information Systems and Management (205 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, David L. Kao, Yarden Livnat, Kwan‐Liu Ma, Ying Tu and Liya Li. 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 Visual Informatics.

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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