Desai Chen

20 papers receiving 1.0k citations

Peers

Desai Chen
Comparison fields: 5 of 97
  • Computer Graphics and Computer-Aided Design 121
  • Automotive Engineering 163
  • Artificial Intelligence 310
  • Computational Mechanics 178
  • Architecture 13
Replace Andrew Spielberg with:
Andrew Spielberg United States
Adriana Schulz United States
Haisen Zhao China
Pitchaya Sitthi‐Amorn United States
Devin Balkcom United States
Panos S. Shiakolas United States
Valery Adzhiev United Kingdom
Danny M. Kaufman United States
Yotam I. Gingold United States
Sang Hun Lee South Korea
Desai Chen relative to Andrew Spielberg United States Andrew Spielberg's profile →
Citations per field
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Citations per year

Countries citing papers authored by Desai Chen

Since Specialization
Citations

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

Fields of papers citing papers by Desai Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Desai Chen, 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 Desai Chen Line = papers co-authored together Desai Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2013211
2 2023102
3 2017101
4 201889
5 201380
6 201775
7 201757
8 201555
9 201752
10 201645
11 201843
12 201338
13 201632
14
SEMAFOR 1.0: A Probabilistic Frame-Semantic Parser
201025
15 202315
16
Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, June 2-4, 2010, Los Angeles, California, USA
201010
17 20189
18 20182
19
Spec2fab: A reducer-tuner model for translating specifications to 3d prints
20132
20 20251

About Desai Chen

Desai Chen is a scholar working on Computer Graphics and Computer-Aided Design, Geology, Computer Vision and Pattern Recognition, Computational Mechanics and Artificial Intelligence, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (5 papers), Computer Graphics and Visualization Techniques (4 papers), 3D Shape Modeling and Analysis (4 papers), Topic Modeling (4 papers), Topology Optimization in Engineering (3 papers), 3D Surveying and Cultural Heritage (3 papers), Visual Attention and Saliency Detection (3 papers) and Modular Robots and Swarm Intelligence (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (121 citations), Automotive Engineering (163 citations), Artificial Intelligence (310 citations), Computational Mechanics (178 citations) and Architecture (13 citations). Desai Chen has collaborated with scholars based in United States, Germany and Portugal. Frequent co-authors include Wojciech Matusik, Mélina Skouras, Bo Zhu, Noah A. Smith, Nathan Schneider, Dipanjan Das, David I. W. Levin, Andre Filipe Torres Martins, Pitchaya Sitthi‐Amorn and Piotr Didyk. Their work appears in journals such as ACM Transactions on Graphics, Nature, Science Advances, Computational Linguistics and IEEE Robotics and Automation Letters.

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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